Question description

 

the highlighted yellow are references that needs to be updated. The green highlights are references that you send me that is not included in your reference list.

Section 1: Foundation of the Study

Business leaders in developing countries are emphasizing development and promotion of tourism (Bazneshin, Hosseini, & Azeri, 2015).  Altunel and Erkut (2015) argued that providing a superior visitor experience is associated with high levels of tourist satisfaction.  Additionally, more leaders are acknowledging how important tourist satisfaction is in today's competitive world as a means to reap economic benefits (Bazneshin et al., 2015).  The purpose of this comparative study is to examine whether tourists’ motivation to travel and destination image influence tourists’ satisfaction in the British Virgin Islands (BVI). 

Background of the Problem

Researchers have differing views of critical factors for ensuring a positive customer experience in the tourism industry.  Tourism marketers are facing increasing competition, innovation, and branding in a dynamic market worldwide (Hultman, Skarmeas, Oghazi, & Beheshti, 2015), leading destination marketers to adopt innovative strategies to emphasize the destination uniqueness and tourists’ satisfaction (Hultman et al., 2015; Rajaratnam, Munikrishnan, Sharif, & Nair, 2014).  Rajaratnam et al. proclaimed the importance for destination leaders to assess tourist satisfaction so they can better understand how tourist satisfaction is related to destination of choice.  Researchers have noted some destination leaders have not addressed tourist satisfaction, nor attempted to address consumer dissatisfaction (Batista, Couto, Botelho, & Faias, 2014; Fernandes & Correia, 2013).  Pratminingsih, Rudatin, and Rimenta (2014) concluded travel motivation and destination image are fundamental travel behaviors of a visitor in assessing tourist satisfaction.

                                                                                Problem Statement               

Since 2011, the tourism industry has experienced a number of turbulent events resulting in a decrease in the number of travelers (Rahimi, 2016; Estrada & Koutronas, 2016; Hajibaba et al, 2015).  Despite the turbulent events, more than one billion tourists travel internationally, which contributes 9% to the global gross domestic product (Hsieh & Kung, 2013).  The general business problem is when a destination does not meet visitors’ needs, tourists will not be satisfied and a destination will not be competitive (Grigaliūnaitė & Pilelienė, 2014).  The specific business problem is that some tourism officials and managers in the British Virgin Islands (BVI) do not know whether a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.

Purpose Statement

The purpose of the quantitative correlational study is to examine if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  The first predictor variable is destination image. Push and pull motives, a predictor construct, consists of thirteen predictor variables: push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, and pull natural resources.  The criterion variable is tourist satisfaction. I will study the population of departing tourists in the BVI for the period of October 2016 to December 2016, which is the peak of the tourist season at all ports of entry in the British Virgin Islands.  The implication for positive social change is to contribute to the economic enhancement of the British Virgin Islands, which will help to generate employment and entrepreneurship opportunities for residents. 

Nature of the Study

The method for the proposed study is quantitative and the design is comparative.  The quantitative method is most appropriate for the proposed study because researchers use the quantitative method to examine any existing relationships among variables (Westerman, 2012).  Also, how one or more variables affect or influence other variables (Ott, Longnecker, & Ott, 2001).  The proposed study involves examining the potential influence of motivation to travel and destination image on and BVI tourist satisfaction.  Furthermore, within quantitative research, researchers statistically analyze numerical data (Turner, Balmer, & Coverdale, 2013; Venkatesh, Brown, & Bala 2013).  For the proposed study, I will collect and analyze numerical data.  A qualitative method is not appropriate because the method is not suitable when examining the potential influence of variables on one or more other variables, and the method does not produce a single, objective view of reality (Goodbody & Burns, 2011).  A mixed method is not suitable for the proposed study since researchers use mixed method studies to answer qualitative and quantitative research questions within one study (Bryman, 2012); the proposed study has only one quantitative research question.

                The design of the proposed study is correlational.  The correlational design is an appropriate design when the researcher is seeking to examine a non-causal relationship between or among variables (Green & Salkind, 2014).  The current study involves examining if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  Destination image, as well as push and pull motives to travel (the two predictor variables), cannot be manipulated and people cannot be randomly assigned to each; therefore, I cannot examine a causal relationship (Green & Salkind, 2014).  The comparative design, a common quantitative design, is not appropriate as the purpose is not to compare variables (Atchley, Wingenbach, & Akers, 2013; Gay, Mills, & Airasian, 2014).  An experimental design is not appropriate as experimental designs requires researchers to manipulate the independent variables, which is not possible given the nature of the study variables.

Research Question

The study has one research question: What is the relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction?

Hypotheses

Null Hypothesis (H1₀)_: There is no statistically significant relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction.

 

Alternative Hypothesis (H1_a): There is a statistically significant relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction.

Theoretical or Conceptual Framework

The theoretical framework for the proposed study is expectancy-disconfirmation theory.  In 1980, Oliver developed expectancy-disconfirmation theory—a cognitive theory of customer satisfaction—focused on customers making post purchase evaluative judgments concerning a specific buying decision.  According to Oliver (1980), people are either satisfied or dissatisfied as a result of a positive or negative difference between expectation and perception before and after a service is performed. 

The purpose of the quantitative comparative study is to examine if motivation to travel and destination image significantly influence tourist satisfaction.  According to expectancy-disconfirmation theory, pre-travel perceived expectations should affect tourist satisfaction with a destination (Oliver, 1980).  Furthermore, tourists will make judgments about their tourist destination experience based on their original perceived expectations.  If tourist judgments about the destination are positive, they are likely to be more satisfied.  When tourists are satisfied, they will communicate positive experiences to motivate others to make a purchase or a repeat purchase (Mohamad, Ab Ghani, Mamat, and Mamat, 2014).

Operational Definitions

Providing operational definitions of terms that a reader may not understand, and which readers will not find in a basic academic dictionary, is critical.  Below are operational definitions for technical terms, jargon, and special words I refer to in the study.  The definitions come from scholarly sources and are listed in alphabetical order.

                Destination competitiveness. Destination competitiveness refers to a country’s ability to create value and integrate relationships within an economic and social model that takes into account a destination’s natural capital and its preservation for future generations (Dimoska & Trimcev, 2012; Hallmann, Müller, Feiler, Breuer, & Roth, 2012).

Destination image. Destination image is a combination of a tourist’s impression, as well as various tourism products, attractions, and attributes of the destination (Whang, Yong, & Ko, 2015).

Tourist satisfaction. Tourist satisfaction is a psychological state that develops when the travel experience satisfies the traveler’s desires, expectations, and needs (Leung, Woo, & Ly, 2013). 

Tourism sustainability. Tourism sustainability refers to accountability for the current and future social, economic and environmental impact of the destination while addressing the needs of the visitor (Crnogaj, Rebernik, Bradac Hojnik, & Omerzel Gomezelj, 2014; Yüzbaşıoğlu, Topsakal, & Çelik, 2014).

Assumptions, Limitations, and Delimitations

Reflecting on and identifying potential shortcomings and the boundaries of a study is critical (Merriam, 2014).  By making the shortcomings and boundaries clear to readers, researchers can be transparent, indicate how such shortcomings are addressed in the study, and avoid having others point out the shortcomings.  Researchers often make known shortcomings and boundaries by discussing study assumptions, limitations, and delimitations.

Assumptions

An assumption is an indicator in the study regarding what is true or certain without proof (Foss & Hallerg, 2013; Merriam, 2014).  This study is based on four assumptions.  The first assumption is that participants who complete the survey will be international visitors to the British Virgin Islands.  The second assumption is that participants will easily and similarly understand the questions on the data collection instrument.  The third assumption is that all participants will answer survey questions honestly and accurately. The fourth assumption is that all visitors will wait until they have completed their stay in the BVI before completing the survey.

Limitations

Limitations refer to potential weaknesses of the study that are out of a researcher’s control (Leedy & Ormrod, 2013).  This study includes two limitations.  The first limitation is that with a quantitative correlational study, researchers cannot determine cause and effect.  If results indicate that motivation to travel and destination image influences tourist satisfaction, a third variable may account for any observed relationship.    A third limitation is that the sample of tourists included in the study may not be a true representation of the population.  The sample characteristics may not be the same as the characteristics of most BVI tourists, limiting the generalizability of the findings to all tourists.

Delimitations

Delimitations refer to the boundaries a researcher sets for a study, which the researcher can control (Rukwaru, 2015).  The research has six delimitations.  First, the focus is on gathering perceptions of tourists who travel only to the islands within the BVI-- not those who travel to other countries.  The second delimitation is that while there are many other variables that influence tourist satisfaction, the study focuses only on, motivation to travel and destination image.  The third delimitation is that the study population is non-citizens or non-residents entering the BVI for leisure and not business.  The fourth delimitation is that all tourists who visit the BVI outside of the data collection time frame will not be included in the study.  The fifth limitation is related to the population, which is limited to only international visitors departing the BVI.  The focus is on the British Virgin Islands tourism industry and the results may not be generalized to other countries. Finally, the survey is written in English, and therefore only those visitors who can read English will be able to complete the survey.

Significance of the Study

The value of proposed study business practice is that the destinations must remain competitive to maintain and increase the income of residents of the community (Webster & Ivanov, 2014).  Destination competitiveness is associated with the long-term economic prosperity of residents (Zehrer & Hallmann, 2015).  According to Rajaratnam, Munikrishnan,  Sharif, and Nair (2014), tourist satisfaction and the destination attributes influence tourism to the destination.  If the tourist’s experience is satisfying, the tourist leaves permanent footprints on the physical, social, cultural, and economic environments of destinations (Kim, Uysal, & Sirgy, 2013) resulting in repeat visitors.  Therefore, it is tourism leaders’ and stakeholders’ responsibility to ensure sustainable tourism in the BVI, while ensuring the tourist’s experience is satisfying.  However, to gain wider acceptance of the BVI community, tourism leaders need to implement their strategies for developing tourism to the local community, which enhances the territory’s economic growth.

The implications for positive social change include the potential to increase the territory’s economic growth (Ridderstaat, Croes, & Nijkamp, 2014).  Sustainable tourism allows for the future development of tourism to promote businesses’ profitability and sustainability benefiting the local community (Begum, Er, Alam, & Sahazali, 2014).  Growth in the number of tourists usually requires the expansion of infrastructure (e.g., roads, water supply, hospitals, sewage treatment and waste disposal) and tourism facilities (accommodations, restaurants, transportation systems), which are critical factors in the development of tourism in the BVI.  Tourism development leads to employment opportunities through various tourism sectors like hotels, boating, and restaurants, which attract migration to the BVI.  For this reason, the BVI’s environment should maintain industry level to sustain tourism longevity.  Van Vuuren and Slabbert (2012) stated that a destination’s environment is a key factor in motivating tourists to visit a destination.  However, for tourism leaders and stakeholders to implement corrective measures to make the BVI a more marketable tourism product, they need to ensure the social and economic growth of the residents of the territory.  Understanding what factors may influence tourist satisfaction could increase the BVI’s competiveness with other potential destination islands.  Most importantly, an increase in the number of tourists equates to an increase in revenue; increased revenue directly contributes to the economic and social enhancement of the residents of the BVI (Begum et al., 2014).

A Review of the Professional and Academic Literature

Using a structured approach for searching the literature allowed for a comprehensive review of literature.  First, key terms for searching the literature came from the study topic, theoretical framework, and study variables. The initial key terms were tourist satisfaction, destination image, motivation to travel, tourism, customer satisfaction, loyalty, expectancy disconfirmation theory, perceived expectations, tourism destination, and destination competitiveness.   I opted to use the key terms and variations to search databases found in the Walden University Library, such as Science Direct, Taylor and Francis Online, Sage Journal, Emerald Management, and Hospitality & Tourism Complete.  Valuable information also came from Google Scholar and the EBSCO host database.  A search of all referenced databases resulted in identifying valuable literature sourced from peer-reviewed journal articles, books, and relevant government offices.

Application to the Applied Business Problem

The purpose of the quantitative correlational study is to examine if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  The first predictor variable under investigation is destination image.  Push and pull motives, a predictor construct, consists of thirteen predictor variables: push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, and pull natural resources.  The criterion variable is tourist satisfaction.

Null Hypothesis (H1₀)_. There is no statistically significant relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction.

Alternative Hypothesis (H1_a). There is a statistically significant relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction.

Theoretical Framework

The purpose of the quantitative correlational study is to examine if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  The theoretical framework for the proposed study is based on the Oliver’s (1980) expectancy-disconfirmation theory.  According to this theory, an individual will act in a certain way due to the expectation that the act will be followed by a certain outcome.  Disconfirmation is a visitor’s expectation of the performance of a facet normally attributed with the enhancement of a visitors travel experience such as the aesthetics of a country.  Aesthetics of the BVI include beaches, the courteousness of locals, the hotel’s accommodations and location to name but a few. Because of this actual experience as opposed to perceived expectations frame of reference, visitors can unreservedly declare whether their perceived expectations were matched or exceeded (Moital, Dias, & Machado, 2013). Expectancy disconfirmation theory gauges whether visitors’ perceptions of their intended stay was disconfirmed. In 1980, Richard Oliver developed expectancy-disconfirmation theory—a cognitive theory of customer satisfaction—focused on customers making post purchase evaluative judgments concerning a specific buying decision.  This concept defines the importance of visitor’s satisfaction in a destination as an emotional response to their experience.  If the actual destination compiles with previously formed perceptions of the visitors (Sukiman, Omar, Muhibudin, Yussof, & Mohamed, 2013), the visitors will make a positive evaluation of the purchase and therefore, becomes satisfied tourists.  Furthermore, according to Oliver (1980), people are either satisfied or dissatisfied as a result of a positive or negative difference between expectation and perception before and after a given service is performed.  Thus, it is imperative to understand the key role of tourist satisfaction, because tourist satisfaction leads to a destination being sustainable with a competitive advantage and differentiation from alternative destination (Sukiman et al., 2013).

Expectancy-disconfirmation theory evaluates tourist satisfaction.  A study by Wong and Dioko (2013), exploring the outcomes of customer satisfaction among tourists, indicates that the measurement of performance is solely dependent on expectation and or disconfirmation.  Wong and Dioko concluded that in order to outperform the destination competitors, the service provider must deliver a higher level of service that outweighs the value of customer cost.  Similarly, Sukiman et al. (2013) conducted a study measuring tourist satisfaction of international and domestic visitors on a holiday in Pahang, Malaysia.  The study’s aims included:  (a) measuring the gap between tourist expectations and experiences, (b) determining levels of tourist satisfaction using the holiday satisfaction (HOLSAT) model, and (c) recommending improvement strategies.  The results indicated the need to improve strategies for future tourism development in Pahang.

                The most commonly used theory focused on the variable of tourist satisfaction is the expectancy-disconfirmation of tourist, which entails tourists having previous expectations prior to receiving the service and then a comparison of their perceived outcome of the service (Hsu, Wu, & Chen, 2012).  Alternatively, Oliver and Swain (1989) used the equity theory to analyze tourist satisfaction based on the relationship between the sacrifices, rewards, expected value, time, and costs visitors’ sustained.  Although Oliver and Swain theory focused on antecedents of satisfaction in consumer exchange, no variable within this study relies on whether the customer receives more value than what they actually spent in terms of price, time and efforts as it relates to satisfaction.  Furthermore, normative theory establishes the tourist need for norm, which is referenced and measured another opinion (Correia, Kozak, & Ferradeira, 2013).  Correia, Kozak, and Ferradeira, (2013) argued that the overall satisfaction reflects the tourist assessment of push pull dimensions of satisfaction. Correia et al. also stated that based on the cultural and social experiences specific to a destination would influence satisfaction.  Although Correia et al. theory focused on the push pull satisfaction and the measurement of tourist satisfaction, their theory allows tourists to compare their present experience in the destination with the alternative or past experience (Correia et al., 2013; Sukiman et al., 2013).  On the other hand, Tse and Wilton (1988) used perceived performance, which measures the overall satisfaction based on the actual performance, regardless of the visitor’s prior expectation.  Tse and Wilton argued that perceived performance has a significant influence on satisfaction. Therefore, the theories above are not appropriate because the objective of this study is to understand whether visitors are either satisfied or dissatisfied because of a positive or negative difference between expectation and perception before and after their travel experience to the BVI. 

                Although the theories may differ, an apparent common theme among destination stakeholders is that of the analysis of tourist satisfaction.  Tourists tend to make judgments regarding their destination experiences based on their original perceived expectations.  If tourist judgments about the destination are positive, they are likely to be more satisfied.  Thus, Gountas and Gountas (2007) recommended that when studying tourist satisfaction there is a need for greater understanding of the antecedent behind the evaluation, versus the acceptance of the simple assessment. Otherwise, the true knowledge of the clients’ emotional experience would be limited.  Hence, comprehending the antecedent destination image and push and pull motives to travel behind tourist satisfaction makes Oliver’s (1980) expectancy disconfirmation theory appropriate for this study.

British Virgin Islands

The BVI tourism sector is a key component in the territory’s socio-economic development and prosperity (Cohen, 1995; The British Virgin Islands, n.d.).  Located 60 miles east of Puerto Rico (PR), the BVI has exquisite white sandy beaches, historical sites and numerous cultural attractions. In addition, the BVI has fishing, as well as picturesque blue waters for sailing and dive sites (The British Virgin Islands Tourist Board, n.d.).  The BVI has an excellent environment for tourism development with beautiful waters and unique diving excursions.  Many researchers have identified tourism as the main industry for economic growth in many countries, and tourism is one of the two economic pillars in the BVI, which contribute to the country’s economic growth (Njoroge, 2015; The British Virgin Islands Tourist Board, n.d.).  As a result, enhancing the tourism and hospitality industry may be destined to play a pivotal role in the BVI’s future economic prosperity.

During the 1960s when most Eastern Caribbean countries opted towards self-rule from colonialism, the BVI chose to remain dependent, a decision, which ultimately affected the determination to decline, full membership within the West Indies Federation.  As a result, in 1962 the BVI formally became a dependent territory of the British.  The BVI includes 60 cays and islets with four main islands: Tortola, Virgin Gorda, Anegada, and Jost Van Dyke.  From the early 1960s, the BVI government invested and implemented strategies to contribute to the growth and prosperity in the economy (Cohen, 1995). 

Tourism in the BVI contributes to 40% of the gross domestic product, and the remainder comes from international banking and other industries (The British Virgin Islands, n.d; Development Planning Unit, 2015).  According to the most recent census data in 2013, the BVI’s population is 29,151, with an average household monthly income of $2,452.73, and an average expenditure of $1000.00 (Development Planning Unit, 2015).  More than half of the BVI population came from migration. Many nationalities came to the BVI to seek employment, particularly in the hospitality industry, which includes yacht charters (Cohen, 1995). 

One noted reason for developing the yacht chartering industry within the BVI tourism product was to highlight the uniqueness of its intact pristine natural environment.  The natural environment is alluring to persons visiting the BVI, and is responsible for accrediting the BVI the name “Nature’s Little Secret” (Cohen, 1995; The British Virgin Islands Tourist Board, n.d.).  Cohen (1995) stated that the opening of Little Dix Bay Resort and the first yacht chartering company in 1969 aided in the prosperous economy.  The BVI has a visitor expenditure of $458.50 million--a 1.09 % increase from the year 2013 (Development Planning Unit, 2014).  Of the total expenditures, 53% attributes to yacht charter, 27% hotels, 10% other, and 7% cruise ship (Development Planning Unit, 2014).  The Development Planning Unit has indicated that in 2014, 513,118 tourists visited the BVI--an increase of 1% arrivals from 2013.  Of these arrivals, 70% came from America, 7% from Canada, 4% from the United Kingdom (UK), 4% from France, 3% from Germany, and 13% from other nationals.

British Virgin Islands government officials see the tourism industry as a priority for maintaining and improving the well-being of the Territory.  Political stability in tourism allows the people of the BVI to further develop and enhance infrastructure, such as widening the Territory’s airspace and roads and accommodating the expansion of a cruise ship pier, which are all necessary for tourism to flourish.  However, Dwyer, Pham, Forsyth, and Spurr (2014) noted that government support and the current tourism budget allocated for marketing and promotion activities of tourism in the BVI is insufficient compared to other Caribbean islands.  Due to the accessibility to these islands, the alternative Caribbean islands have a competitive advantage to the BVI.  Thus far, the BVI tourism product includes guaranteed sustainability (The British Virgin Islands Tourist Board, n.d.). 

A tourism destination is a destination that has various products and services to meet visitor needs.  A visitor selects a tourist destination based on whether they believe the destination has all the desired amenities (Buhalis & Amaranggana, 2013).  Therefore, Lamsfus and Alzua-Sorzabal (2013) stated most tourists’ perceptions of a destination are a result of information gathered from various travel information boards.   To identify one destination over another destination necessitates a look at a combination of various components in the destination that can satisfy the traveler’s perception prior, during, and after their trip (Soteriades, 2012).  Additionally, Buhalis (2000) stated that to be categorized as a tourism destination, the destination must have been structured with the six As: (a) attractions (natural, man-made, artificial, purpose built, heritage, and special events); (b) accessibility (transportation comprised of routes, terminals, and vehicles); (c) amenities (accommodation, catering facilities, retailing, and other tourist services); (d) available packages (pre-arranged packages by intermediaries and principals); (e) activities (what consumers do during their visit at the destination); and (f) ancillary services (services used by tourists such as banks, telecommunication, post, newsagents, hospitals, etc.). 

                The potential to mainstream tourism was established (O’Neal, 2012) as agriculture became limited, and to some non-existent.  As time progressed through slavery in the BVI, agriculture became dominant and soon after mass production of sugarcane producing became the norm of most British Caribbean colonies (O'Neal, 2012).  Likewise, sugarcane became the main crop of the BVI, which allowed the BVI to conduct foreign trade with Danish West Indies islands--particularly St. Thomas and other nearby islands (O'Neal, 2012).  In the mid-1960s, the BVI began to seek interest in financial services and tourism known as the Twin pillars (The British Virgin Islands Tourist Board, n.d).  O’Loughlin (1962) recommended in his report, that the BVI pursue tourism as their main source of economic development that may likely bring higher standard of living to the population.  The acceptance of the O’Loughlin report was validated by the construction of Laurance Rockefeller’s Little Dix Bay Hotel in Virgin Gorda in 1964 (Cohen, 2010) as the promotion and development strategy of the tourism era in the BVI.  Thereafter, Prospect Reef hotel was constructed with 131 rooms in Road Town, Tortola (O'Neal, 2012).  The Development Planning Unit (n.d.) has indicated that in 1981, 154,500 tourists visited the BVI--an increase of 782% arrivals from 1967.  Of the twin pillars, tourism is the most important industry as it employs a large percentage of both local and non-nationals skilled and professional positions in the territory, equating too numerous local entrepreneurs within the industry (O’Neal, 2012).  The main reason for tourism is to temporary escape from everyday life routine, stress, and constraints (Rasouli, & Timmermans, 2014).  During this economic growth of the BVI, Graham (1969) labeled the BVI as the Sunny Success Story because of the fast growth that was noted in any other British Caribbean islands. Therefore, it is vital that the BVI maintain and continue the transformation of tourism-based economy in the BVI.

 

 

Transition

Section 1 began with a discussion on the importance of understanding tourist satisfaction for leaders can improve the BVI tourism industry.  However, some tourism officials and managers in the British Virgin Islands (BVI) do not know whether a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  Therefore, I will use a quantitative correlational study to examine if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  According to Oliver (1980) theory expectancy-disconfirmation theory, an individual will act in a certain way due to the expectation that the act will be followed by a certain outcome.

Section 2 outlined the role of the researcher, lists eligibility criteria for participants, and describes research method chosen for the proposed study.  The section provides information on the sampling technique used; a discussion of the data collection, the instrument used for data collection, and its reliability and validity; and, finally, the data analysis.  Section 3 includes a presentation of the findings, a discussion regarding the applicability to professional practice, information on the implications for social change, recommendations for action and further research, reflections, and the conclusion of the study. 

Section 2: The Project

Section 2, begins with a restatement of the purpose of the study, followed by the role of researcher, the study participants, the research method, and the population and sample strategy.  I also discuss issues associated with conducting ethical research, the instrumentation, and the data collection and analysis techniques.  The section ends with a discussion of study validity.

 

Purpose Statement

The purpose of the quantitative correlation study is to examine if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.  The first predictor variable is destination image.  Push and pull motives is a construct consisting of thirteen predictor variables: Push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, and pull natural resources.  The criterion variable is tourist satisfaction. I will study the population of departing tourists in the BVI for the period of October 2016 to December 2016, which is the peak of the tourist season at all ports of entry in the British Virgin Islands.  The implication for positive social change is to contribute to the economic enhancement of the British Virgin Islands, which will help to generate employment and entrepreneurship opportunities for residents.  

Role of the Researcher

In a quantitative study, the role of the researcher may include (a) gather data, (b) analyze and interpret the data, and (c) present the study results (Eide & Showalter, 2012; Freire, Santos, & Sauer, 2016).  For the current study, data collection will occur using a survey; participants will receive a paper survey during the process of clearance upon entering the BVI.  Because I will not have direct access to the participants as they enter the BVI, a BVI government official (immigration officer) will distribute the survey at the time of each visitor’s arrival, reducing any potential bias towards the study (Moustakas, 1994).  Participants will complete a paper-and-pencil paper survey, anywhere convenient to them, because the likelihood that Internet service may not be available (McPeake, Bateson, & O’Neill, 2014). 

Working in various sectors of the tourism industry before 2015, I read documents where authors suggested some tourists may not be satisfied with the BVI tourism product.  Numerous external factors in the BVI contribute to tourists’ experience, which includes sea and land-based activities.  As a resident of the BVI, either a professional or personal relationship or interaction with any of the participants of the study will not be permitted. 

Participants

To participate in the study, participants must meet specific eligibility criteria.  The participants must be non-citizens or non-resident visitors of the BVI entering at any port of entry into the BVI.  Only individuals 18 or older can participate in the study as a measure of protection to the participants.  The participants must be tourists departing the BVI during the period of October 2016 to December 2016.  Having visual aid will help in encouraging visitors to participate (Alameda-Pineda et al, 2016; Kumer, Recker & Mendling, 2016; Farrell et al, 2014).  To gain access to the participants, all monitors located at all ports of entry will display several advertisements informing the visitors about the survey.  The advertisements will include a description of the survey purpose, the benefits of participating, the eligibility criteria, the directions for survey completion and return, and directions for obtaining a survey.   The advertisement will also include a statement that all participants must read the implied consent form prior to completing the survey (See Appendix B).  Because direct access to the participants may be limited, a BVI government official (immigration officer) will provide eligible individuals with a paper survey, which will include written instructions guiding participants how to complete the survey and where to return upon completion at the end of their visit.  Participants may misplace their survey, therefore, alternate avenues where visitors can collect a survey (Khan et al, 2013; Edelman et al, 2013; Kaur Mann & Kaur, 2016).    In the event of any misplaced surveys, participants will also have the opportunity to obtain a survey from either ferry terminals or airport departure lounges.  Participants will have the option to withdraw from the study at any time, either by not completing or by not turning the survey into a lock box at any port of departure.   

Research Method

The method for the proposed study is quantitative.  The quantitative research method is the appropriate method for studies when researchers gather numeric data to examine the relationship between or among variables when answering the research question(s) (Hargreaves Heap, Verschoor, & Zizzo, 2012; Rozin, Hormes, Faith, & Wansink, 2012; Zhang et al, 2016) or examine how one or more variables affect or influence other variables (Ott, Longnecker, & Ott, 2001; Pekar & Brabec, 2016; Seisonen, Vene & Koppel, 2016; Zhang et al, 2016).  Further, researchers use the quantitative method to test null hypotheses using parametric and non-parametric statistical tests (Rovai et al., 2013; Schneider, 2015; Zoë, & Hoe, 2013).  Quantitative researchers use statistical procedures to evaluate relationships among the various distinct variables in the study (Salehi & Golafshani, 2013; Schneider, 2015; Zoë, & Hoe, 2013).  Quantitative researchers also collect data from a sample, hoping to be able to generalize the results to a larger population (Cokley & Awad, 2013; Hitchcock & Newman, 2013; Schneider, 2015).  The proposed study involves examining the relationships that exist between destination image, push and pull motives to travel, and tourist satisfaction in the BVI.  Furthermore, within quantitative research, researchers statistically analyze numerical data (Turner, Balmer, & Coverdale, 2013; Venkatesh, Brown, & Bala 2013; Schneider, 2015).  Therefore, by using a quantitative method, the researcher will test whether a statistical relationship exists between destination image, push and pull motives to travel, and BVI tourist satisfaction.

This study will involve collecting numeric data using Likert-type items to examine the relationship (if any) between study variables.  A quantitative methodology is selected for this study, as the focus is on identifying any potential correlational relationship among variables and testing the null hypotheses (Rovai et al., 2013; Schneider, 2015; Zoë, & Hoe, 2013).  For this quantitative research, a deductive method is essential; therefore, a qualitative or mixed method would not be appropriate (Feisinger, 2013; Venkatesh et al., Zandvanian & Daryapoor, 2013).

Research Design

The design of the proposed study is correlational.  The correlational design is an appropriate design when the researcher is seeking to examine a non-causal relationship between or among variables (Bleske-Rechek, Morrison, & Heidtke, 2014; Croker, 2012; Mosing et al, 2016).  The study objective is to examine whether a non-causal relationship exists among two independent variables (push and pull motive to travel and destination image) and one dependent variable (tourist satisfaction).  The researcher cannot manipulate the independent variables, nor randomly assign participants to levels of the independent variable, supporting the requirements when conducting an experimental design (Al-Jarrah et al, 2015; Thorarensen, Kubiriza, & Imsland, 2015).  In this study, destination image, as well as the push and pull motive to travel cannot be manipulated, and people cannot be randomly assigned to each: therefore, the researcher cannot examine results using an experimental design (Chirico et al, 2013; Benredouane, 2016; Howard, Best & Nickels, 2014).  The comparative design is not an appropriate design, because the objective is not to make comparisons between variables (Atchley, Wingenbach, & Akers, 2013; Sharma, 2013; Yu-Jia, 2012).

Population and Sampling

The target population for this study includes BVI tourists for the period of October 2016 to December 2016.  The estimated population of tourists for this time period is 152,190 (development Planning Unit, 2015), which includes visitors from places such as the United States, Canada, the United Kingdom, France, Germany, Holland, Italy, Sweden, Spain, Argentina, Brazil, Venezuela, Organization of Eastern Caribbean States countries, the French West Indies, and the Netherland Antilles (Development Planning Unit, 2015). The population includes non-citizens or non-resident visitors entering at any of the 10 ports of entry in the BVI.  Individuals access the 10 ports of entry from Tortola (which has four air and seaports), Virgin Gorda (which has three air and seaports), Anegada (which has two air and seaports), and Jost Van Dyke (which has one seaport).

I will use a nonprobability convenience sampling technique to identify participants for the study, as opposed to a probability sampling method, using random selection (Azzalini, 2016; Baker et al., 2013; Gluth, Rieskamp, & Büchel, 2012).  Using a nonprobability sampling method, researchers unsystematically select participants; therefore, because not all members of the population are guaranteed to have an equal chance of inclusion in the sample (Azzalini, 2016; Baker et al., 2013; Skowronek & Duerr, 2009). 

The most common nonprobability sampling techniques are purposive and convenience sampling (Baker et al., 2013; Guest, Bunce, & Johnson, 2006; Ho, 2016).  Convenience sampling refers to the availability of potential participants or on the convenience of the researcher, which may not represent the target population (Baker et al., 2013; Guest et al., 2006; Wallace, Clark, & White, 2012).  Convenience sampling allows a researcher to make generalizations based on the sample studied; hence, one drawback is the internal bias by the researcher (Agyemang, Nyanyofio, & Gyamfi, 2014; Campos et al., 2011; Dutang, Goegebeur and Guillou, 2016).  Convenience sampling is the most used sampling techniques because it is fast and inexpensive, and the participants are more readily available (Bornstein, Jager, & Putnick, 2013; Dutang, Goegebeur and Guillou, 2016; Surnari, 2013).  In contrast, random sampling is relatively simple, but very costly, with results that are more generalizable (Asendorpf et al., 2013; Barr, Levy, Scheepers, & Tily, 2013; Janssen, 2013).

The sample size should be large enough to satisfy the analysis used (Button et al., 2013; Laud & Dane, 2014; Thorarensen, Kubiriza, & Imsland, 2015).  A researcher must choose a population capable of providing a sample size adequate for generating sufficient data (Holland & Kopp-Schneider, 2015; Muskat, Blackman, & Muskat, 2012; Stokes, Davis, & Koch, 2012). Having a robust sample size is imperative for a researcher to interpret the study results accurately (Button et al., 2013; Holland & Kopp-Schneider, 2015; Meckstroth, 2012).  

To determine the needed sample size, I used a sample size calculator and conducted a power analysis.   The sample size calculator is G* Power, G*Power is a statistical software package researchers use to conduct an apriori sample size analysis (Faul, Erdfelder, Buchner, & Lang, 2009).  A power analysis, using G*Power version 3.1.9 software, was conducted to determine the appropriate sample size for the study. An apriori power analysis, assuming a medium effect size (f = .15), a = .05, indicated a minimum sample size of 135 participants is required to achieve a power of .80. Increasing the sample size to 236 will increase power to .99.  Therefore, the researcher will seek between 135 and 236 participants for the study.  Using a medium effect size (f = .15) and a = .05 is the appropriate for this proposed study as displayed in Figure 1.

 

 

Figure 1. Power as a function of a sample

Ethical Research

The researcher’s sole responsibility is to protect participants and to ensure the research results (Eide & Showalter, 2012).  In this study, to comply with the Belmont Report ethical guidelines, I will take specific steps to protect the rights and confidentiality of research participants (U.S. Department of Health and Human Services, 1979).  The first step is to ensure participants receive and read the information on the implied consent form prior to completing a survey.

I will not have direct access to the participants therefore, to gain access to the participants a BVI government official (immigration officer) will notify and confirm that all prospective participants are 18 years or older and that participant read the implied consent form before completing the survey.  The survey will include written instructions reminding the participants of when to complete the survey and where to return the completed survey at the end of their visit.  As participants stand in line waiting to be processed by an official at all ports of entry for admittance, visitors will be able to view several advertisements about the survey displayed on monitors.  The advertisements will establish ethical assurances by explaining rights of study participants and protecting the participants’ rights to privacy, ensuring confidentiality, and maintaining honesty (U.S. Department of Health and Human Services, 1979; Xie et al., 2012).

A BVI government staff (immigration officer) will notify all prospective participants that to participate, they must be over the age of 18 and must be identified as a non-citizen or non-resident visitor.  The implied consent letter indicates the measures I will follow when conducting my research (see Appendix B).  In the case of a misplaced survey, participants will also have the opportunity to receive an additional survey in the departure lounge either at ferry terminals or at airports. 

Participants will have the option to withdraw from the study at any time, either by not completing the survey, and or by not turning the survey in to the appropriate entity.  To avoid coercion, there will be no incentives associated with participating in this study.  I choose not to include incentives to ensure participants’ decision to participate in the study is not altered by financial gain (Fein & Kulik, 2011).

To help protect the rights of participants, data will be stored for 5 years on a secure computer.  The data collected will be password protected and only accessible to the researcher.  After 5 years, the data will be electronically erased from the computer.  In addition, I will keep the completed surveys and any printed information will be locked away and destroyed by secure shredding after 5 years (Cronin-Gilmore, 2012).

Data Collection Instruments

No existing instrument exists to gather data on all the variables for the study.  The variables in the study are not unobservable psychological constructs, and using an existing instrument is typically most appropriate when measuring such constructs (Slaney & Racine, 2013; Barry et al., 2013; Davies et al., 2013). Instead, I will create a self-developed survey, with individual survey items to measure the study variables.  Although thought to be more challenging and labor intensive to develop, there are certain advantages that come with developing a unique, purpose-specific survey.  For example, a self-developed survey ensures the inclusion of the variables and concepts a researcher must measure based on a detailed review of the literature (Buchanan, Siegfried & Jelsma, 2015; Bettoni et al, 2014; Granko et al, 2014).  Opting for a self-developed survey allows a researcher to prepare each question specific to the research questions of the study (Buchanan, Siegfried & Jelsma, 2015; Bettoni et al, 2014; Granko et al, 2014).  The instrument for the proposed study is a paper survey (see Appendix C).  In addition, a self-developed instrument can facilitate the ability to systematically address issues of validity and reliability explained under the Data Collection section. Table 2 includes a summary of the variables in the survey, listed in the order they will appear in the survey instrument.

 

 

 

 

 

 

Table 1   

Variable Measurement

Variable	Survey item #	Level of measurement
Demographic (gender)	1	Ordinal
Demographic (purpose of visit)	2	Ordinal
Demographic (islands to be visited)	3	Ordinal
Demographic variable (BVI arrival method)	4	Ordinal
Demographic variable (nationality)	5	Ordinal
Demographic (has been to the BVI before)	6	Ordinal
Demographic (household income)	7	Ordinal
Destination image (predictor variable)	8	Nominal
Push and pull motives to travel (predictor variable)	9	Nominal
Tourist satisfaction (criterion variable)	10	Ordinal

 

Demographic Survey Items

Structuring the format of the survey is crucial to the success of the study. The first section of the survey instrument includes demographic questions. The demographic information collected is gender, purpose of visit, islands to be visited, BVI arrival method, nationality, has been to the BVI before, household income.  I will measure each demographic variable using a single question at an ordinal level. 

Destination Image

The second section of the survey instrument includes questions to gather the data on the study’s independent and dependent variables (destination image, push and pull motives to travel, and tourist satisfaction).  I will measure the first independent variable, destination image, using a single question at the nominal level of measurement.  Assaker and Hallak (2013) and Stylidis, Belhassen, and Shani (2014) studied destination image and measured this variable using a single item because of the various dimensions of destination image.  The intent is to use a modified version of the single item Assaker and Hallak used to measure destination image.  Assaker and Hallak’s single item was, “How would you describe the image that you have of that destination before the experience”?  Participants provided answers using a 5-point Likert-type scale.  The scale ranged from 1 (not all satisfied) to 5 (extremely satisfied), with high scores indicating exceptional levels of destination image and lower scores indicating unsatisfactory levels of destination image.  Similar to previous studies, the emphasis will be on an overall evaluation of destination image, using the scale above, rather than analyzing the individual components of the destination image construct (Assaker & Hallak, 2013; Prayag et al., 2015; Zhang et al. 2014).

Push and Pull Motives to Travel

The second section of the survey instrument also includes questions, at the nominal level of measurement, to gather the data on study’s independent construct of push and pull motives to travel.  Kim, Oh, and Jogaratnam (2006) and Mohammad and Som’s (2010), studied push and pull motives to travel and measure the variable using multiple items. The intent is to use a modified version of Kim, Oh, and Jogaratnam and Mohammad and Som used to measure push and pull motive to travel to fit the needs of the BVI.  Push and pull motives consists of thirteen predictor variables: push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, and pull natural resources.   Participants will provide answers using a 5-point Likert-type scale.  The scale ranges from 1 (not at all satisfied) to 5 (extremely satisfied), with high scores indicating exceptional levels of push and pull motives to travel and lower scores indicating unsatisfactory levels of push and pull motives to travel.

Tourist Satisfaction

I will measure the dependent variable, tourist satisfaction, as a continuous variable at the ordinal level of measurement.  Assaker and Hallak (2013) studied tourist satisfaction and measured this variable using a single item to understand the visitor overall satisfaction with the visitor visit to a destination.  Assaker and Hallak’s satisfaction scale contained one item intended to measure the overall tourist satisfaction with visitors experience to the BVI.  This single item from Assaker and Hallak is, “How would you describe your overall satisfaction with your stay in that destination”?  Participants provide answers using an ordinal, 5-point Likert-type scale.  The scale will range from 1 (not all satisfied) to 7 (extremely satisfied), with high scores indicating exceptional levels of tourist satisfaction and lower scores indicating low levels of tourist satisfaction.

Instrument Reliability and Validity

                Because there is no existing survey instrument available for my study, no published reliability and validity information available.  Therefore, I will conduct a pilot test to assess validity and reliability of the instrument using specific methods described in the Data Collection Technique section below.

Data Collection Technique

I will use a paper survey to collect data. Some researcher has stated that data collection is often the most costly and time intensive portion of research (Baker et al., 2013; Dunn et al., 2015; Pires et al., 2016).  Paper surveys have the advantages of allowing participants to complete a survey anywhere, to reduce bias towards the researcher and paper responses are at a higher rate than web-based surveys (Hohwü et al., 2013; McPeake, Bateson, & O’Neill, 2014; Moustakas, 1994).  Disadvantage of using paper surveys is the high cost of printing not associated with using a web-based survey (Cahill et al., 2015; Sue & Ritter, 2012; Binu & Misbah, 2013). 

Following Walden’s Institutional Review Board (IRB) approval, but before distributing the survey to participants, I will conduct a field test and a pilot test to assess validity and reliability of the instrument.   Researchers use field test to assess the survey instrument for content validity (Chakraborty et al, 2016; Li, Scott & Walters, 2014; Harshman & Yezierski, 2016). The field test for this study will include four experts in the areas of academics and business practice to assess the survey instrument for content validity.  Leggett et al (2016), suggested the following guidelines for assessing questionnaire validity, the field test will involve gathering information to answer three questions:

1. Does the instrument look like a survey?

2. Is the survey appropriate for the study population?

3. Does the survey include all of the questions needed to answer the study research question and achieve the study objectives?

In addition, the field test involves a test for readability of the survey instrument.  Flesch Reading Ease and Flesch-Kincaid Grade Level tests are methods used for checking readability (Hartley, 2016; Eltorai et al, 2015; Lenzner, 2013). Because of the field test and readability tests, I will modify the survey instrument before conducting the pilot test to assess instrument reliability. 

                Conducting test-retest procedures of the survey instrument will enhance the internal validity of the instrument based on any difficulties observed to gather evidence of reliability (Mello, Merchant, & Clark, 2013; Rickards, Magee, & Artino Jr, 2012; Van Teijlingen & Hundley, 2002).  I will then administer the survey to a small convenience sample from visiting tourist using the test-retest procedure using 5 days for test-retest interval.  Allowing the period longer than 5 days may make the factors I am measuring to change and may alter the scores in independent variable (tourist satisfaction) (Miller & Lovler, 2016; Becken & Wilson, 2013; Breiby, 2015).

Conducting test-retest procedures of the survey instrument will enhance the internal validity of the instrument based on any difficulties observed to gather evidence of reliability (Mello, Merchant, & Clark, 2013; Rickards, Magee, & Artino Jr, 2012; Van Teijlingen & Hundley, 2002).  Researchers use the Pearson’s correlation coefficient and Spearman’s Rho to measure instrument reliability (Karyadi, VanderVeen & Ciders, 2014; Baumester et al, 2016; Harshman & Yezierski, 2016).  I will calculate the reliability of Questions 8-9—the questions measuring each of the study variables—using the Pearson’s correlation coefficient for ratio variables and Spearman’s Rho for ordinal variables. 

Completion of the pilot study, I will publish and print the survey for distribution.  Individuals identified as non-citizens or non-resident visitors, who are 18 years and older and entering the BVI at any ports of entry will receive a paper survey from a BVI government official (immigration officer).  The paper survey will include written instructions guiding participants how to complete the survey and where to return upon completion at the end of their visit.  In addition, all monitors located at all ports of entry and departure lounges will display several advertisements informing the visitors about the survey.  Because many ports in the BVI are normally open for extended hours, reoccurring advertisements should motivate more visitors to participate in the surveys.  In the event of any misplaced surveys, participants will also have the opportunity to obtain a survey from either ferry terminals or airport departure lounges. 

Data Analysis

The research question for the proposed study is, What is the relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction? The hypotheses are below.

Null Hypothesis (H1₀)_: There is no statistically significant relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction.

 

Alternative Hypothesis (H1_a): There is a statistically significant relationship between destination image, push knowledge, push sightseeing variety, push adventure, push relax, push lifestyles, push family, pull event and activities, pull sightseeing variety, pull easy access and affordability, pull history and culture, pull variety seeking, pull adventure, pull natural resources, and BVI tourists’ satisfaction.

Statistical Analyses

For statistical data analysis, I will multiple regression.  Multiple linear regression is the appropriate method of quantitative data analysis when there are one interval dependent variable and more than one interval or categorical independent variable (Donneau et al, 2015; Mehmood & Ahmed, 2016; Wang, Chiou, & Muller, 2016).  The criterion variable in this study is tourist satisfaction, which will have an ordinal level of measure.  The predictor variables in this study are destination image and push and pull motives to travel, which have ordinal measurement levels.  Therefore, because this study involves more than two continuous variables, simple regression analysis cannot be used (Bakrania et al, 2015; Luchman, 2014; Rybak, Sternberg & Pfeiffer, 2013). Multiple regression analysis will help determine how much independent variables explain the variation in the dependent variable and the independent variable will improve the accuracy in predicting the values of the dependent variable (Luchman, 2014; Nimon & Owsald, 2013; Simon, 2013).

Simple linear regression and analysis of variance (ANOVA) are two types of quantitative statistics; however, they do not meet the needs for this study.  ANOVA is appropriate when we have categorical IVs and a continuous DV—where we compare means (Dios et al, 2013; Hesamian, 2015; Pekar & Braver, 2016).  Also, in ANOVA, the researchers seek to find the means among groups (Dios et al, 2013; Hesamian, 2015; Thorarensen, Kubiriza, & Imsland, 2015), which is not an objective of this study.  With simple linear regression, the goal is to predict the value of a dependent variable based on the value of an independent variable (Ardhakupar, Sridhar & Atrey, 2014; Brown, 2014; Wang, Chiou, & Muller, 2016).  This study includes examination of the relationship (if any) between two independent variables and a dependent variable; therefore, simple linear regression cannot be considered for this study. 

Assumptions

Researchers proposed five assumptions to be tested when using multiple regression analysis: (a) measurement error, (b) normality, (c) linearity, (d) multicollinearity, and (e) homoscedasticity (Dormann et al., 2013; Kim, Sugar, & Belin, 2015; Kock & Lynn, 2012).  Next is a discussion of each assumption of multiple regression.

Measurement error.  Conducting multiple regression analysis may include the assumption of no error in the measure of variables.  Cronbach’ alpha is a common test for measurement when measuring multiple items (Osborne & Water, 2002; Tonetto & Desmet, 2016; Valim et al, 2014). Therefore, for the variable push pull motives to travel, I will perform Cronbach’ alpha test for measurement of error.

Normal distribution.  I will have to perform a visual inspection and create a histogram of each variable to test the assumption of normal distribution.  Conducting a Shapiro-Wilk test will determine whether normal distribution of each variable exists.  In the research, the assessment of normality will determine the specific statistical tests researchers utilize; parametric or non-parametric (Punzo, Browne & McNicholas, 2016).  Parametric test produces a bell-shaped curve versus a non-parametric (Fernandes, Madeiros & Veiga, 2014; Punzo, Browne & McNicholas, 2016; Rovai, Baker, & Ponton, 2013).  Researchers can use bootstrapping procedures when the data failed to meet the statistical assumption of normality.

Linear relationship.  Another assumption for multiple regression that determines whether a linear relationship exists between variables.  To test for linearity assumption, I will create and inspect a scatter plotter of predicted and residual values for each variable (Singh et al, 2016; Yan & Zhang, 2015; Li, 2015).  If linear relationships do not exist, researchers can use bootstrapping procedures to examine any possible influence of assumption violations.

Homoscedasticity.  Conducting a scatterplot analysis will help test for assumptions of homoscedasticity (Francq & Govaerts, 2014; Punzo, Browne & McNicholas, 2016; Urbano, 2015).  To test whether a violation of homogeneity exists, I will conduct a Goldfeld-Quandt test for homogeneity of variance (Francq & Govaerts, 2014; Punzo, Browne & McNicholas, 2016; Urbano, 2015).

Multicollinearity.  Multicollinearity exists when a possible predictor-predictor redundancy phenomenon occurred (Amini & Roozbeh, 2016; Kock & Lynn, 2012; Chandra & Sarkar, 2015).  Using a normal probability plot (P-P) of the regression standardized residual tested for multicollinearity (Amini & Roozbeh, 2016; Aslam, 2014; Chandra & Sarkar, 2015).

Violation of assumptions.  Violating assumptions can result in errors.  There are two types of errors, which can occur when using inferring statistical significance of the analysis.  Type I error when the researchers reject the true null hypothesis and Type II error results when the researchers do not reject a false null hypothesis (Delorme et al, 2016; Li & Mei, 2016; Liu et al, 2015).  For example decreasing the p value, from .05 to .01, reduces the possibility of a Type I error, but also increases the likelihood of a Type II error (Delorme et al, 2016; Li & Mei, 2016; Liu et al, 2015). If the violation of an assumption exists, Mooney and Duval (1993) suggested that researcher should use of bootstrapping procedures.  Therefore, I will use the bootstrapping procedure to mitigate any violations of assumptions.

Interpreting Results

Descriptive designs examine the current condition of a situation or circumstance (Borbasi & Jackson, 2012; Ingham-Broomfield, 2014; Montilla & Kromrey, 2016; Revicki, & Schwartz, 2014).  I will use descriptive statistics to examine the distribution of data. Some of the measures included the standard deviation, mean, and variance.  I will use a pre-established probability standard of .05 for the alpha, or p value, which is common in tourist satisfaction (Correia & Kozak, 2016; Liu, Horng et al, 2016; Olya & Altinay, 2016). The related confidence interval for an alpha of .05 is 95%.  A medium effect size (f ² = .15) is appropriate based on a review of 29 articles where tourist satisfaction, as measured by destination image or motivation to travel, was the outcome measurement (Correia & Kozak, 2016; Li, Scott & Walters, 2014; Olya & Altinay, 2016).

Software and Data

Common software researchers use to analyze statistical data include Statistical Package for the Social Sciences (SPSS), Statista, and Microsoft Excel (Kim & Kim, 2015; Liat, Mansori, & Huei, 2014; Maloletko et al., 2015). Because SPSS is commonly use by tourism industry researchers, I will use SPSS (e.g., Bajs, 2015; Kim & Kim 2015; Ogucha et al., 2015; Pearce & Wu, 2016). 

Before conducting data analysis, researchers visually inspect the survey data for missing, incomplete, or unusual information (Cai & Zhu, 2015; Kim, Sugar & Belin, 2015; Zvoch, 2014;).  The purpose of data clean is to detect errors and remove these errors for quality improvement (Cai & Zhu, 2015; Kim, Sugar & Belin, 2015; Zvoch, 2014).  Data cleaning is important in statistical analyses (Cai & Zhu, 2015; Kim, Sugar & Belin, 2015; Zvoch, 2014). To address missing data, the most popular method used is deletion of any cases that have missing data (Kim & Kim, 2015; Kim, Sugar & Belin, 2015; Zvoch, 2014). Because the use of paper survey the likelihood of missing data is minimal, therefore, I will adopt this procedure for any missing data.

Study Validity

Study validity is the final consideration of the project.  Validity is an important aspect of the study, which involves the integrity of conclusions drawn from the research (Barry et al, 2013; Baumeister et al, 2016; Chakraborti et al, 2016).  There are two types of validity: internal validity and external validity (Baumeister et al, 2016; Chakraborti et al, 2016; Pericci & Pereira, 2016).   

 Internal Validity

                Le Borgne et al (2016) stated some internal validity can occur in instrumentation, statistical regression, selection, and testing. Graham (2016) stated that internal validity supports the notion that observed covariation correlates to a causal relationship.  This study is a correlational study, and therefore, there are no threats to the internal validity.

Statistical conclusion validity.  In statistical conclusion of validity, there are two types of errors Type I and Type II.  Rejection of a true null hypotheses is Type I error and non-rejection of a false null hypotheses is when Type II error occurs (Kratochwill & Levin, 2014; Le Borgne et al., 2016; Pericci & Pereira, 2016).  Three statistical conclusion of validity are instrument validity, data assumption, and sample size.

Reliability of the instrument.  Research study reliability mirrors the consistency of the study and instrument, therefore the researchers should verify the survey instrument for reliability (Bhattacherjee, 2012; Peikari, Zakaria, Yasin, Shah, & Elhissi, 2013; Rickards, Magee, & Artino Jr., 2012).  Reliability increases the trustworthiness of the measurement tool and enabled subsequent researchers to reach similar conclusions in replications (Almeida, Ferreira & Cavalcante, 2015; Cook et al., 2014; Peikari et al., 2013).  To ensure reliability of the proposed study, I will compute Cronbach’s alpha using the variable push and pull motives to travel.  Because Cronbach’s Alpha is relevant when there are multiple items within the scale (Osborne & Water, 2002; Tonetto & Desmet, 2016; Valim et al, 2014).

Data assumption.  Five assumption was identified in the Data Analysis section: normal distribution of variables, a linear relationship between the dependent variables, homoscedasticity and lack of collinearity among the independent variables, and measurement error (Behr, 2015; Kim, Sugar, & Belin, 2015; Osborne & Water, 2002).  Therefore, a violation of assumptions can results in errors, resulting in the use of a nonparametric procedure such as discriminant analysis to analyze the data (Benner, Gugercin & Willcox, 2015; Behr, 2015; Saart, Gao & Kim, 2013).  Bootstrapping procedures will address violations of assumptions (Mooney & Duval, 1993).  Again, I will use bootstrapping to address violations of assumptions.

Sample size.  Barends, Jassen, and ten Have (2013) stated that statistical validity depends on the sample size.  Having an insufficient sample size for this study may result in an incorrect inference about the study.  For this study, I will conduct a G*Power 3.1.9.2 analysis to calculate a sufficient sample size (Faul et al., 2009).  A priori power analysis indicates a minimum sample size of 135 assuming a medium effect size (f = .15), with a = .05 to achieve a power of .80 while power of .99 requires a sample size of 236.  Therefore, a sample size of between 135 and 236 participants is appropriate for the study

External Validity

                External validity is the ability of generalization to the larger population (Trochim & Donnelly, 2008).  External validity refers to an instrument’s ability to measure attributes of the study’s constructs (Walls et al., 2011).  Threats to external validity represent factors that reduce the ability to generalize the study results within a larger population of study (Graham, 2016; Khorsan & Crawford, 2014; Trochim & Donnelly, 2008).  Therefore, using nonprobability sampling may limit the ability to generalize the results of the study to other population.  Whereas, probability sampling assumes that each participant of the population has the same equal chances for selection and is the preference for making statistical inferences to the population (Graham, 2016; Sarais et al, 2016; Uprichard, 2013). 

Transition and Summary

Section 2 began with role of the researcher and the participants, who are visitors to the BVI.  The research method and design is a quantitative correlational study using a paper survey to collect data through convenience sampling.  Section 2 concluded with a discussion on data analysis process using multiple linear regression and methods I will use to test the study’s validity.

Section 3 includes a presentation of the findings, a discussion regarding the applicability to professional practice, information on the implications for social change, recommendations for action and further research, reflections, and the conclusion of the study. 

 

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Chapter 7 of the Publication Manual of the American Psychological Association, sixth edition, includes numerous examples of reference list entries. For more information on references or APA style, consult the APA website or the Walden Writing Center website.

Appendix A: National Institutes of Health Training Certificate

 

 

 

 

 

 

 

 

 

 

 

 

 

Appendix B: Implied Consent Form

Motives to Travel, Destination Image, and British Virgin Islands Tourists’ Satisfaction

 

You are invited to take part in a research study about whether a relationship exists between destination image, push and pull motives to travel, and BVI tourists’ satisfaction. The researcher is inviting non-citizen or non-resident visitors to the British Virgin Islands, who are at least 18 years of age. This part of a process for “implied consent” to provide you information about the study and what your participation will entail.

 

This study is being conducted by a researcher named Sherrine Augustine, who is a doctoral student at Walden University, is conducting a correlation study.

 

Background Information:

The purpose of this study is to examine if a relationship exists between destination image, push and pull motives to travel, and tourists’ satisfaction.

  

Procedures:

If you agree to be in this study, you will be asked to:

·         The study is expected to take no more than 5-7 minutes to complete the survey;

·         Be sure to complete the survey after your travel experience to the BVI is complete.

 

Here are some sample questions:

 

On a scale from 1 to 5 (one being “Not at all satisfied” and seven “Extremely satisfied” please rate how you feel about the following statements by an indication of a tick (ü) to each statement.

 

1.        How would you describe the image that you have of that destination before the experience?

2.        How would you describe your overall satisfaction with your stay in that destination?

 

Voluntary Nature of the Study:

This study is voluntary. Everyone will respect your decision of whether or not you choose to be in the study. No one will treat you differently if you decide not to be in the study. If you decide to participate in the study, you can withdraw from the study at any time, either by not completing or by not turning the survey into a lock box at any departing port of departure.

 

Risks and Benefits of Being in the Study:

Being in this type of study involves some risk of the minor discomforts that can be encountered in daily life, such as stress or becoming upset. Being in this study would not pose risk to your safety or wellbeing. The study could potentially benefit the British Virgin Islands tourism industry by providing information that may improve tourist satisfaction among its visitors.

 

Payment:

While there is no compensation for your participation, I, as well as the tourism industry, will be grateful for your selflessness and decision to participate in this short survey.

 

Privacy:

Any information you provide will be kept anonymous. The researcher will not use your personal information for any purposes outside of this research project. Also, the researcher will not include your name or anything else that could identify you in the study reports. Data will be kept secure in a locked cabinet that will only be accessible to the researcher. Data will be kept for a period of at least 5 years, as required by the university. After 5 years all data collected will be shredded.

 

Contacts and Questions:

You may ask any questions you have now. Or if you have questions later, you may contact the researcher via sherrine.augustine@waldenu.edu or 1-284-441-0407. If you want to talk privately about your rights as a participant, you can call Dr. Leilani Endicott at 612-312-1210 or 1-800-925-3368 extension 3121210. She is the Walden University representative who can discuss this with you. Walden University’s approval number for this study is IRB will enter approval number here and it expires on IRB will enter expiration date.

 

Please keep this consent form for your records.

 

Statement of Implied Consent

 

I have read the above and I feel I understand the study well enough to make a decision about my involvement. By returning the survey into a lock box at any departing port of departure, I understand

That I am agreeing to the terms describe above.

 

 

Regards,

 

 

 

Sherrine Augustine

Appendix C: Survey Questions

Make a selection to the following statements by an indication of a tick (ü) to each statement

Gender

Male	o
Female	o

Purpose of Visit

Vacation	o
Business	o
Seeking Work	o
Other	o

Which island will you be visiting?

Tortola	o
Virgin Gorda	o
Anegada	o
Jost Van Dkye	o
Other	o

You arrived to the BVI by

Air	o
Private Air	o
Cruise Ship	o
Ferry	o
Private Charter	o

Nationality ___________________________

Has you been to the BVI before?

Yes	o
No	o

Which category best describes your household income?

Less than $20,000	o
$20,000-$39.999	o
$40,000-$59,000	o
$60,000-$79,999	o
$80,000-$99.999	o
$100,000-$149,999	o
$150,000-$199,999	o
Above $200,000	o

 

Please indicate your level of satisfaction with the following statement regarding your travel experience in the BVI (choose the response that most closely applies to your level of satisfaction):

 

Destination image.  How would you describe the image that you have of that destination before the experience?

Not at all satisfied	Slightly Satisfied	Unsure	Very Satisfied	Extremely Satisfied
o	o	o	o	o

Push Motives of motivation to travel.                                

               

		Not at all satisfied		Slightly Satisfied		Unsure		Very Satisfied		Extremely Satisfied
Knowledge
Learning new things or increasing knowledge
Experiencing new and different lifestyle
Seeing as much as possible
Seeing and experiencing a foreign destination
Travelling to historical places
Sight seeing
Sightseeing Variety
To fulfill my dream of visiting a foreign land/country
To sightsee touristic spots
To explore cultural resources
Adventure
Finding thrill or excitement
Having fun or being entertained
Being darling and adventuresome being free to act the way I feel
Reliving past good times
Relax
Doing nothing at all
Getaway from demand of home
Change from busy jobs
Escaping from the ordinary
Lifestyles
Experiencing simple lifestyle
Rediscovering myself Travel bragging
Talking about a trip after returning home Indulging in luxury
Going places friends have not been
Family
Visiting friends or relatives
Family togetherness
Visit places family came from home
Feeling a home away from home

Pull Motives of motivation to travel.

 

	Not at all satisfied	Slightly Satisfied	Unsure	Very Satisfied	Extremely Satisfied
Event and activities
Activities for entire family
Festivals and event
Sightseeing Variety
To fulfill my dream of visiting a foreign land/country
To sightsee touristic spots
To explore cultural resources
Easy Access and affordable
Affordable tourist destination Safe destination
Value of money
History and culture
National Park Culture and traditions
Outstanding scenery
Variety seeking
Traditional food Outdoor activities Exotic atmosphere
Adventure
Weather/climate
Natural resources
Natural reserves Beautiful beaches

 

Tourist satisfaction.  How would you describe your overall satisfaction with your stay in that destination?

Not at all satisfied	Slightly Satisfied	Unsure	Very Satisfied	Extremely Satisfied
o	o	o	o	o