some are relevant.. Attached is all I have to check in this section. When I finish the literature review I should have about 100-150 more to check.

References

Agyemang, C. B., Nyanyofio, J. G., & Gyamfi, G. D. (2014). Job stress, sector of work, and shift-work pattern as correlates of worker health and safety: A study of a manufacturing company in Ghana. International Journal of Business and Management, 9(7), 59–69. doi:10.5539/ijbm.v9n7p59

Alameda-Pineda, X., Staiano, J., Subramanian, R., Batrinca, L., Ricci, E., Lepri, B., . . . Sebe, N. (2016). SALSA: A novel dataset for multimodal group behavior analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE, 38(8), 1707-1720. doi:10.1109/tpami.2015.2496269

Al-Jarrah, O. Y., Yoo, P. D., Muhaidat, S., Karagiannidis, G. K., & Taha, K. (2015). Efficient machine learning for big data: A Review. Big Data Research, 2(3), 87–93. doi:10.1016/j.bdr.2015.04.001

Almeida, A. T., Ferreira, R. J., & Cavalcante, C. A. (2015). A review of the use of multicriteria and multi-objective models in maintenance and reliability. IMA Journal of Management Mathematics, 26(3), 249-271. doi:10.1093/imaman/dpv010

Altunel, M. C., & Erkut, B. (2015). Cultural tourism in Istanbul: The mediation effect of tourist experience and satisfaction on the relationship between involvement and recommendation intention. Journal of Destination Marketing & Management, 4(4), 213-221. doi:10.1016/j.jdmm.2015.06.003

Amini, M., & Roozbeh, M. (2016). Least trimmed squares ridge estimation in partially linear regression models. Journal of Statistical Computation and Simulation, 86(14), 2766–2780. doi:10.1080/00949655.2015.1128433

Ardhapurkar, P. M., Sridharan, A., & Atrey, M. D. (2014). Prediction of temperature distribution in heat exchanger for mixed refrigerant Joule–Thomson cryocooler. Indian Journal of Cryogenics, 39(1), 169. doi:10.5958/2349-2120.2014.00821.8

Asendorpf, J. B., Conner, M., De Fruyt, F., De Houwer, J., Denissen, J. J., Fiedler, K., & Perugini, M. (2013). Recommendations for increasing replicability in psychology. European Journal of Personality, 27(2), 108-119. doi:10.1002/per.1919

Assaker, G., & Hallak, R. (2013). Moderating effects of tourists’ novelty-seeking tendencies on destination image, visitor satisfaction, and short-and long-term revisit intentions. Journal of Travel Research, 52(5), 600-613. doi:10.1177/0047287513478497

Aslam, M. (2014). Using heteroscedasticity-consistent standard errors for the linear regression model with correlated regressors. Communications in Statistics - Simulation and Computation, 43(10), 2353-2373. doi:10.1080/03610918.2012.750354

Atchley, T. W., Wingenbach, G., & Akers, C. (2013). Comparison of course completion and student performance through online and traditional courses. The International Review of Research in Open and Distributed Learning, 14(4), 105-116. Retrieved from http://www.irrodl.org

Azzalini, A., & Menardi, G. (2016). Density-based clustering with non-continuous data. Computational Statistics, 31(2), 771–798. doi:10.1007/s00180-016-0644-8

Baker, R., Brick, J. M., Bates, N. A., Battaglia, M., Couper, M. P., Dever, J. A., ... & Tourangeau, R. (2013). Summary report of the AAPOR task force on non-probability sampling. Journal of Survey Statistics and Methodology, 1(2), 90-143. doi:10.1093/jssam/smt008

Bakrania, K., Edwardson, C. L., Bodicoat, D. H., Esliger, D. W., Gill, J. M., Kazi, A., . . . Yates, T. (2015). Associations of mutually exclusive categories of physical activity and sedentary time with markers of cardiometabolic health in English adults: A cross-sectional analysis of the Health Survey for England. BMC Public Health, 16(1). doi:10.1186/s12889-016-2694-9

Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255-278. doi:10.1016/j.jml.2012.11.001

Barry, A. E., Chaney, B., Piazza-Gardner, A. K., & Chavarria, E. A. (2013). Validity and reliability reporting practices in the field of health education and behavior: A review of seven journals. Health Education & Behavior, 41(1), 12-18. doi:10.1177/1090198113483139

Batista, M. D. G. C., Couto, J. P. A., Botelho, D. R., & Faias, C. (2014). Tourist satisfaction and loyalty in the hotel business: An application to the island of São Miguel, Azores. Tourism & Management Studies, 10(1), 16-23. Retrieved from http://tmstudies.net/index.php/ectms

Baumeister, S. E., Ricci, C., Kohler, S., Fischer, B., Töpfer, C., Finger, J. D., & Leitzmann, M. F. (2016). Physical activity surveillance in the European Union: Reliability and validity of the European Health Interview Survey-Physical Activity Questionnaire (EHIS-PAQ). International Journal of Behavioral Nutrition and Physical Activity, 13(1). doi:10.1186/s12966-016-0386-6

Bazneshin, S. D., Hosseini, S. B., & Azeri, A. R. K. (2015). The physical variables of tourist areas to increase the tourists’ satisfaction regarding the sustainable tourism criteria: Case Study of Rudsar Villages, Sefidab in Rahim Abad. Procedia-Social and Behavioral Sciences, 201, 128-135. doi:10.1016/j.sbspro.2015.08.141

Becken, S., & Wilson, J. (2013). The impacts of weather on tourist travel. Tourism Geographies, 15(4), 620-639. doi:10.1080/14616688.2012.762541

Begum, H., Er, A. C., Alam, A. F., & Sahazali, N. (2014). Tourist's perceptions towards the role of stakeholders in sustainable tourism. Procedia-Social and Behavioral Sciences, 144, 313-321. doi:10.1016/j.sbspro.2014.07.301

Behr, A. (2015). Stochastic data envelopment analysis. Production and Efficiency Analysis with R, 161-182. doi:10.1007/978-3-319-20502-1_7

Benner, P., Gugercin, S., & Willcox, K. (2015). A survey of projection-based model reduction methods for parametric dynamical systems. SIAM Review, 57(4), 483-531. doi:10.1137/130932715

Benredouane, S., Berrama, T., & Doufene, N. (2016). Strategy of screening and optimization of process parameters using experimental design: application to amoxicillin elimination by adsorption on activated carbon.Chemometrics and Intelligent Laboratory Systems, 155, 128-137. doi:10.1016/j.chemolab.2016.04.010

Bettoni, E., Ferriero, G., Bakhsh, H., Bravini, E., Massazza, G., & Franchignoni, F. (2014). A systematic review of questionnaires to assess patient satisfaction with limb orthoses. Prosthetics and Orthotics International, 40(2), 158-169. doi:10.1177/0309364614556836

Bleske-Rechek, A., & Kelley, J. A. (2014). Birth order and personality: A within-family test using independent self-reports from both firstborn and laterborn siblings. Personality and Individual Differences, 56, 15-18. doi:10.1016/j.paid.2013.08.011

Bornstein, M. H., Jager, J., & Putnick, D. L. (2013). Sampling in developmental science: Situations, shortcomings, solutions, and standards. Developmental Review, 33(4), 357-370. doi:10.1016/j.dr.2013.08.003

Breiby, M. A. (2015). Exploring aesthetic dimensions in nature-based tourist experiences. Tourism Analysis, 20(4), 369-380. doi:10.3727/108354215x14400815080361

Bromwich, M., & Scapens, R. W. (2016). Management accounting research: 25 years on. Management Accounting Research, 31, 1-9. doi:10.1016/j.mar.2016.03.002

Brown, J. D. (2014). Simple linear regression. Linear Models in Matrix Form, 39-67. doi:10.1007/978-3-319-11734-8_2

Buchanan, H., Siegfried, N., & Jelsma, J. (2015). Survey instruments for knowledge, skills, attitudes and behaviour related to evidence-based practice in occupational therapy: A systematic review. Occupational Therapy International, 23(2), 59-90. doi:10.1002/oti.1398

Button, K. S., Ioannidis, J. P., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S., & Munafò, M. R. (2013). Power failure: Why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14(5), 365-376. Retrieved from http://www.nature.com/nrn/index.html

Cai, L., & Zhu, Y. (2015). The challenges of data quality and data quality assessment in the big data era. Data Science Journal, 14, 1-10. doi:10.5334/dsj-2015-002

Chakraborty, N. M., Fry, K., Behl, R., & Longfield, K. (2016). Simplified asset indices to measure wealth and equity in health programs: A reliability and validity analysis using survey data from 16 countries. Global Health: Science and Practice, 4(1), 141-154. doi:10.9745/ghsp-d-15-00384

Chandra, S., & Sarkar, N. (2015). A restricted class estimator in the mixed regression model with autocorrelated disturbances. Statistical Papers, 57(2), 429-449. doi:10.1007/s00362-015-0664-4

Chirico, R. D., Frenkel, M., Magee, J. W., Diky, V., Muzny, C. D., Kazakov, A. F., ... & Brenneke, J. F. (2013). Improvement of quality in publication of experimental thermophysical property data: Challenges, assessment tools, global implementation, and online support. Journal of Chemical & Engineering Data, 58(10), 2699-2716. doi:10.1021/je400569s

Cokley, K., & Awad, G. H. (2013). In defense of quantitative methods: Using the "Master's Tools" to promote social justice. Journal for Social Action in Counseling & Psychology, 5(2), 26-41. Retrieved from http://www.jsacp.tumblr.com

Correia, A., & Kozak, M. (2016). Tourists' shopping experiences at street markets: Cross-country research. Tourism Management, 56, 85-95. doi:10.1016/j.tourman.2016.03.026

Crnogaj, K., Rebernik, M., Bradac Hojnik, B., & Omerzel Gomezelj, D. (2014). Building a model of researching the sustainable entrepreneurship in the tourism sector. Kybernetes, 43(3/4), 377-393. doi:10.1108/k-07-2013-0155

Cronin-Gilmore, J. (2012). Exploring marketing strategies in small businesses. Journal of Marketing Development and Competitiveness, 6(1), 96. Retrieved from http://www.na-businesspress.com/jmdcopen.html

 Davies, N. M., Smith, G. D., Windmeijer, F., & Martin, R. M. (2013). Issues in the reporting and conduct of instrumental variable studies. Epidemiology, 24(3), 363-369. doi:10.1097/ede.0b013e31828abafb

Delorme, P., Micheaux, P. L., Liquet, B., & Riou, J. (2016). Type-II generalized family-wise error rate formulas with application to sample size determination. Statistics in Medicine, 35(16), 2687-2714. doi:10.1002/sim.6909

Development Planning Unit (2015).  BVI Statistics Economy. Published by the Central Statistics Office, Development Planning Unit

Dimoska, T., & Trimcev, B. (2012). Competitiveness strategies for supporting economic development of the touristic destination. Procedia-Social and Behavioral Sciences, 44, 279-288. doi:10.1016/j.sbspro.2012.05.031

Dios, K. D., Manibusan, A., Marsden, R., & Pinkstaff, J. (2013). Comparison of bioanalytical methods for the quantitation of PEGylated human insulin. Journal of Immunological Methods, 396(1-2), 1-7. doi:10.1016/j.jim.2013.07.007

Donneau, A., Mauer, M., Lambert, P., Lesaffre, E., & Albert, A. (2015). Testing the proportional odds assumption in multiply imputed ordinal longitudinal data. Journal of Applied Statistics, 42(10), 2257-2279. doi:10.1080/02664763.2015.1023704

Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carre, G., & Lautenbach, S. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36, 27-46. doi:10.1111/j.1600-0587.2012.07348.xFe

Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399-412. doi:10.1111/bjop.12046

Dutang, C., Goegebeur, Y., & Guillou, A. (2016). Robust and Bias-Corrected Estimation of the Probability of Extreme Failure Sets. Sankhya A, 78(1), 52-86. doi:10.1007/s13171-015-0078-3

Edelman, L. S., Yang, R., Guymon, M., & Olson, L. M. (2013). Survey methods and response rates among rural community dwelling older adults. Nursing Research, 62(4), 286-291. doi:10.1097/nnr.0b013e3182987b32

Eide, E. R., & Showalter, M. H. (2012). Methods matter: Improving causal inference in educational and social science research: A review article. Economics of Education Review, 31, 744-748. doi:10.1016/j.econedurev.2012.05.010

Eltorai, A. E., Naqvi, S. S., Ghanian, S., Eberson, C. P., Weiss, A. C., Born, C. T., & Daniels, A. H. (2015). Readability of Invasive Procedure Consent Forms. Clinical and Translational Science, 8(6), 830-833. doi:10.1111/cts.12364

Estrada, M. A., & Koutronas, E. (2016). Terrorist attack assessment: Paris November 2015 and Brussels March 2016. Journal of Policy Modeling, 38(3), 553-571. doi:10.1016/j.jpolmod.2016.04.001

Farrell, E. H., Whistance, R. N., Phillips, K., Morgan, B., Savage, K., Lewis, V., . . . Edwards, A. (2014). Systematic review and meta-analysis of audio-visual information aids for informed consent for invasive healthcare procedures in clinical practice. Patient Education and Counseling, 94(1), 20-32. doi:10.1016/j.pec.2013.08.019

Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149-1160. doi:10.3758/brm.41.4.1149

Fein, E. C., & Kulik, C. T. (2011). Safeguarding access and safeguarding meaning as strategies for achieving confidentiality. Industrial and Organizational Psychology, 4(04), 479-481. doi:10.1111/j.1754-9434.2011.01378.x

Feinsinger, P. (2013). Research methodologies in applied and basic ecology: which am I following, and why?. Revista Chilena De Historia Natural, 86(4), 385-402. Retrieved from https://revchilhistnat.biomedcentral.com/

Fernandes, M., Medeiros, M. C., & Veiga, A. (2014). A (semi)parametric functional coefficient logarithmic autoregressive conditional duration model. Econometric Reviews, 35(7), 1221-1250. doi:10.1080/07474938.2014.977071

Foss, N., & Hallberg, N. (2013). How symmetrical assumption advance strategic management research. Strategic Management Journal, 35, 903-913. doi:10.1002/smj.2130

Francq, B. G., & Govaerts, B. B. (2014). Measurement methods comparison with errors-in-variables regressions. From horizontal to vertical OLS regression, review and new perspectives. Chemometrics and Intelligent Laboratory Systems, 134, 123-139. doi:10.1016/j.chemolab.2014.03.006

Freire, J. R. D. S., Santos, I. C. D., & Sauer, L. (2016). Knowledge generation in agricultura research. Ciência Rural, 46(7), 1301-1307. doi:10.1590/0103-8478cr20150745

Gay, L. R., Millers, G. E., & Airasian, P. W. (2014). Educational research: Competencies for analysis and application (11^th ed.). New York, NY: Pearson.

Gluth, S., Rieskamp, J., & Büchel, C. (2012). Deciding when to decide: Time-variant sequential sampling models explain the emergence of value-based decisions in the human brain. The Journal of Neuroscience, 32(31), 10686-10698. doi:10.1523/jneurosci.0727-12.2012

Goodbody, L., & Burns, J. (2011). A disquisition on pluralism in qualitative methods: The troublesome case of a critical narrative analysis. Qualitative Research in Psychology, 8, 170-196. doi:10.1080/14780887.2011.575288

Granko, R. P., Wolfe, A. S., Kelley, L. R., Morton, C. S., & Delgado, O. (2014). Assessing the self-development potential of a pharmacy management practitioner through self-assessment survey. American Journal of Health-System Pharmacy, 72(2), 149-157. doi:10.2146/ajhp140004

Green, S. B., & Salkind, N. J. (2014). Using SPSS for windows and macintosh: Analyzing and understanding data (6th ed.). Upper Saddle River, NJ: Prentice Hall.

Grigaliūnaitė, V., & Pilelienė, L. (2014). Satisfaction and loyalty of Lithuanian rural tourists: Segmentation and managerial implications. Regional Formation and Development Studies, 14(3), 64-75. doi:10.15181/rfds.v14i3.864

Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field methods, 18(1), 59-82. doi:10.1177/1525822x05279903

Hajibaba, H., Gretzel, U., Leisch, F., & Dolnicar, S. (2015). Crisis-resistant tourists. Annals of Tourism Research, 53, 46-60. doi:10.1016/j.annals.2015.04.001

Harshman, J., & Yezierski, E. (2016). Test–retest reliability of the adaptive chemistry assessment survey for teachers: measurement error and alternatives to correlation. Journal of Chemical Education, 93(2), 239-247. doi:10.1021/acs.jchemed.5b00620

Hartley, J. (2016). Is time up for the Flesch measure of reading ease? Scientometrics, 107(3), 1523-1526. doi:10.1007/s11192-016-1920-7

Hallmann, K., Müller, S., Feiler, S., Breuer, C., & Roth, R. (2012). Suppliers' perception of destination competitiveness in a winter sport resort. Tourism Review, 67(2), 13-21. doi:10.1108/16605371211236105

Hesamian, G. (2015). One-way ANOVA based on interval information. International Journal of Systems Science, 47(11), 2682-2690. doi:10.1080/00207721.2015.1014449

Hesse-Biber, S. (2016). Doing interdisciplinary mixed methods health care research: working the boundaries, tensions, and synergistic potential of team-based research. Qualitative Health Research, 26(5), 649-658. doi:10.1177/1049732316634304

Hitchcock, J., & Newman, I. (2013). Applying an interactive quantitative-qualitative framework: How identifying common intent can enhance inquiry. Human Resource Development Review, 12, 36-52. doi:10.1177/153448431242127

Hohwü, L., Lyshol, H., Gissler, M., Jonsson, S. H., Petzold, M., & Obel, C. (2013). Web-based versus traditional paper questionnaires: a mixed-mode survey with a Nordic perspective. Journal of Medical Internet Research, 15(8), e173. doi:10.2196/jmir.2595

Holland-Letz, T., & Kopp-Schneider, A. (2015). Optimal experimental designs for dose–response studies with continuous endpoints. Archives of Toxicology, 89(11), 2059-2068. doi:10.1007/s00204-014-1335-2

Howard, D., Best, W., & Nickels, L. (2014). Optimising the design of intervention studies: Critiques and ways forward. Aphasiology, 29(5), 526-562. doi:10.1080/02687038.2014.985884

Hsieh, H. J., & Kung, S. F. (2013). The linkage analysis of environmental impact of tourism industry. Procedia Environmental Sciences, 17, 658-665. doi:10.1016/j.proenv.2013.02.082

Hultman, M., Skarmeas, D., Oghazi, P., & Beheshti, H. M. (2015). Achieving tourist loyalty through destination personality, satisfaction, and identification. Journal of Business Research, 68(11), 2227-2231. doi:10.1016/j.jbusres.2015.06.002

Karyadi, K. A., Vanderveen, J. D., & Cyders, M. A. (2014). A meta-analysis of the relationship between trait mindfulness and substance use behaviors. Drug and Alcohol Dependence, 143, 1-10. doi:10.1016/j.drugalcdep.2014.07.014

Kaur Mann, A., & Kaur, N. (2016). Survey of Web Database Clustering Techniques. IJSR International Journal of Science and Research, 5(2), 685-688. doi:10.21275/v5i2.nov161214

Kim, K., Sun, J., Jogaratnam, G., & Oh, I. K. (2006). Market segmentation by activity preferences: Validation of cultural festival participants. Event Management, 10(4), 221-229. doi:10.3727/152599507783948666

Kim, K., Uysal, M., & Sirgy, M. J. (2013). How does tourism in a community impact the quality of life of community residents? Tourism Management, 36, 527-540. doi:10.1016/j.tourman.2012.09.005

Kim, S., Sugar, C. A., & Belin, T. R. (2015). Evaluating model‐based imputation methods for missing covariates in regression models with interactions. Statistics in Medicine, 34(11), 1876-1888. doi:10.1002/sim.6435

Khan, W. Z., Xiang, Y., Aalsalem, M. Y., & Arshad, Q. (2013). Mobile phone sensing systems: A survey. IEEE Communications Surveys & Tutorials, 15(1), 402-427. doi:10.1109/surv.2012.031412.00077

Khorsan, R., & Crawford, C. (2014). How to assess the external validity and model validity of therapeutic trials: A conceptual approach to systematic review methodology. Journal of Evidence-Based Complementary and Alternative Medicine, 2014, 1-12. doi:10.1155/2014/694804

Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13, 546–580. Retrieved from http://aisel.aisnet.org/jais/

Kratochwill, T. R., & Levin, J. R. (2014). Meta- and statistical analysis of single-case intervention research data: Quantitative gifts and a wish list. Journal of School

Psychology, 52, 231–235. doi:10.1016/j.jsp.2014.01.003

Kummer, T., Recker, J., & Mendling, J. (2016). Enhancing understandability of process models through cultural-dependent color adjustments. Decision Support Systems, 87, 1-12. doi:10.1016/j.dss.2016.04.004

Laud, P. J., & Dane, A. (2014). Confidence intervals for the difference between independent binomial proportions: comparison using a graphical approach and moving averages. Pharmaceutical Statistics, 13(5), 294-308. doi:10.1002/pst.1631

Le Borgne, F., Giraudeau, B., Querard, A. H., Giral, M., & Foucher, Y. (2015). Comparisons of the performance of different statistical tests for time‐to‐event analysis with confounding factors: practical illustrations in kidney transplantation. Statistics in Medicine. 35(7), 1103–1116. doi:10.1002/sim.6777

Leedy, P. D., & Ormrod, J. E. (2013). Practical research: Planning and design (10th ed.). Upper Saddle River, NJ: Pearson Education.

Leggett, L. E., Khadaroo, R. G., Holroyd-Leduc, J., Lorenzetti, D. L., Hanson, H., Wagg, A., . . . Clement, F. (2016). Measuring resource utilization. Medicine, 95(10), E2759. doi:10.1097/md.0000000000002759

Lenzner, T. (2013). Are readability formulas valid tools for assessing survey question difficulty? Sociological Methods & Research, 43(4), 677-698. doi:10.1177/0049124113513436

Leung, D., Woo, G. J., & Ly, T. P. (2013). The effects of physical and cultural distance on tourist satisfaction: A case study of local-based airlines, public transportation, and government services in Hong Kong. Journal of China Tourism Research, 9(2), 218-242. doi:10.1080/19388160.2013.784572

Li, C. (2015). A test for the linearity of the nonparametric part of a semiparametric logistic regression model. Journal of Applied Statistics, 43(3), 461-475. doi:10.1080/02664763.2015.1070803

Li, S., Scott, N., & Walters, G. (2014). Current and potential methods for measuring emotion in tourism experiences: A review. Current Issues in Tourism, 18(9), 805-827. doi:10.1080/13683500.2014.975679

Li, Y., & Mei, Y. (2016). Effect of bivariate data’s correlation on sequential tests of circular error probability. Journal of Statistical Planning and Inference, 171, 99-114. doi:10.1016/j.jspi.2015.11.001

Liu, C., Horng, J., Chou, S., Chen, Y., Lin, Y., & Zhu, Y. (2015). An empirical examination of the form of relationship between sustainable tourism experiences and satisfaction. Asia Pacific Journal of Tourism Research, 21(7), 717-740. doi:10.1080/10941665.2015.1068196

Luchman, J. N. (2014). Relative importance analysis with multicategory dependent variables: An extension and review of best practices. Organizational Research Methods, 17(4), 452-471. doi:10.1177/1094428114544509

Luft, J., & Shields, M. D. (2014). Subjectivity in developing and validating causal explanations in positivist accounting research. Accounting, Organizations and Society, 39, 550-558. doi:10.1016/j.aos.2013.09.001

McPeake, J., Bateson, M., & O’Neill, A. (2014). Electronic surveys: how to maximise success. Nurse researcher, 21(3), 24-26. doi:10.7748/nr2014.01.21.3.24.e1205

Mehmood, T., & Ahmed, B. (2016). The diversity in the applications of partial least squares: an overview. Journal of Chemometrics, 30(1), 4-17. doi:10.1002/cem.2762

Mello, M. J., Merchant, R. C., & Clark, M. A. (2013). Surveying emergency medicine. Academic Emergency Medicine, 20(4), 409-412. doi:10.1111/acem.12103

Mohammad, B. A. M. A. H., & Som, A. P. M. (2010). An analysis of push and pull travel motivations of foreign tourists to Jordan. International Journal of Business and Management, 5(12), 41. doi:10.5539/ijbm.v5n12p41

Mohamad, M., Ab Ghani, N. I., Mamat, M., & Mamat, I. (2014). Satisfaction as a mediator to the relationships between destination image and loyalty. World Applied Sciences Journal, 30, 1113-1123. Retrieved from http://www.wasj.org/

Montilla, J. M., & Kromrey, J. (2016). Construct Validity of the Scale: Students' Choice Process. Case at the University of Los Andes, Venezuela. Ciencia e Ingenieria, 37(1), 19-27. Retrieved from http://erevistas.saber.ula.ve/cienciaeingenieria

Mosing, M. A., Madison, G., Pedersen, N. L., & Ullén, F. (2015). Investigating cognitive transfer within the framework of music practice: Genetic pleiotropy rather than causality. Developmental Science. 19(3), 504–512. doi:10.1111/desc.12306

Moustakas, C. (1994). Phenomenological research methods. Sage Publications.

Muskat, M., Blackman, D. A., & Muskat, B. (2012). Mixed methods: Combining expert interviews, Cross-impact analysis and scenario development. The Electronic Journal of Business Research Methods, 10(1), 09-21. doi:10.2139/ssrn.2202179

Nimon, K. F., & Oswald, F. L. (2013). Understanding the results of multiple linear regression beyond standardized regression coefficients. Organizational Research Methods, 16(4), 650-674. doi:10.1177/1094428113493929

 Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 460-469. doi:10.2307/3150499

Olya, H. G., & Altinay, L. (2016). Asymmetric modeling of intention to purchase tourism weather insurance and loyalty. Journal of Business Research, 69(8), 2791-2800. doi:10.1016/j.jbusres.2015.11.015

Osborne, J. W., & Waters, E. (2002). Four assumptions of multiple regression that researchers should always test. Practical Assessment, Research & Evaluation, 8(2). Retrieved from http://pareonline.net/

Ott, L., Longnecker, M., & Ott, R. L. (2001). An introduction to statistical methods and data analysis (Vol. 511). Pacific Grove, CA: Duxbury.

Pekár, S., & Brabec, M. (2016). Marginal Models Via GLS: A Convenient Yet Neglected Tool for the Analysis of Correlated Data in the Behavioural Sciences. Ethology, 122(8), 621-631. doi:10.1111/desc.12306

Pericchi, L., & Pereira, C. (2016). Adaptative significance levels using optimal decision rules: Balancing by weighting the error probabilities. Brazilian Journal of Probability and Statistics, 30(1), 70-90. doi:10.1214/14-bjps257

Pires, I. M., Garcia, N. M., Pombo, N., & Flórez-Revuelta, F. (2016). From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices. Sensors, 16(2), 184. doi:10.3390/s16020184

Pratminingsih, S. A., Rudatin, C. L., & Rimenta, T. (2014). Roles of motivation and destination image in predicting tourist revisit intention: A case of Bandung–Indonesia. International Journal of Innovation, Management and Technology, 5(1), 19-24. doi:10.7763/ijimt.2014.v5.479

Prayag, G., Hosany, S., Muskat, B., & Del Chiappa, G. (2015). Understanding the relationships between tourists’ emotional experiences, perceived overall image, satisfaction, and intention to recommend. Journal of Travel Research, doi:10.1177/0047287515620567

Punzo, A., Browne, R. P., & Mcnicholas, P. D. (2016). Hypothesis testing for mixture model selection. Journal of Statistical Computation and Simulation, 86(14), 2797-2818. doi:10.1080/00949655.2015.1131282

Rahimi, R. (2016). Tourism and violence. Tourism Management, 55, 238-239. doi:10.1016/j.tourman.2016.02.018

Rajaratnam, S. D., Munikrishnan, U. T., Sharif, S. P., & Nair, V. (2014). Service quality and previous experience as a moderator in determining tourists’ satisfaction with rural tourism destinations in Malaysia: A partial least squares approach. Procedia-Social and Behavioral Sciences, 144, 203-211. doi:10.1016/j.sbspro.2014.07.288

Rickards, G., Magee, C., & Artino Jr, A. R. (2012). You can't fix by analysis what you've spoiled by design: Developing survey instruments and collecting validity evidence. Journal of Graduate Medical Education, 4, 407–410. doi:10.4300/JGME-D-12-00239.1

Ridderstaat, J., Croes, R., & Nijkamp, P. (2014). Tourism and long‐run economic growth in Aruba. International Journal of Tourism Research, 16, 472-487. doi:10.1002/jtr.1941

Rozin, P., Hormes, J. M., Faith, M. S., & Wansink, B. (2012). Is meat male? A quantitative multimethod framework to establish metaphoric relationships. Journal of Consumer Research, 39, 629-643. doi:10.1086/664970

Rybak, M. E., Sternberg, M. R., & Pfeiffer, C. M. (2013). Sociodemographic and lifestyle variables are compound- and class-specific correlates of urine phytoestrogen concentrations in the U.S. Population. Journal of Nutrition, 143(6), 986S-994S. doi:10.3945/jn.112.172981

Saart, P., Gao, J., & Kim, N. H. (2013). Semiparametric methods in nonlinear time series analysis: A selective review. Journal of Nonparametric Statistics, 26(1), 141-169. doi:10.1080/10485252.2013.840724

Sarais, V., Reschini, M., Busnelli, A., Biancardi, R., Paffoni, A., & Somigliana, E. (2016). Predicting the success of IVF: External validation of the van Loendersloot's model. Human Reproduction, 31(6), 1245-1252. doi:10.1093/humrep/dew069

Schneider, J. W. (2015). Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations. Scientometrics, 102(1), 411-432. doi:10.1007/s11192-014-1251-5.

Seisonen, S., Vene, K., & Koppel, K. (2016). The current practice in the application of chemometrics for correlation of sensory and gas chromatographic data. Food Chemistry, 210, 530-540. doi:10.1016/j.foodchem.2016.04.134

Sharma, D., & Kibria, B. G. (2013). On some test statistics for testing homogeneity of variances: a comparative study. Journal of Statistical Computation and Simulation, 83(10), 1944-1963. doi:10.1080/00949655.2012.675336

Singh, P., Engel, J., Jansen, J., de Haan, J., & Buydens, L. M. C. (2016). Dissimilarity based Partial Least Squares (DPLS) for genomic prediction from SNPs. BMC Genomics, 17(1), 1. doi:10.1186/s12864-016-2651-0

Skowronek, D., & Duerr, L. (2009). The convenience of nonprobability Survey strategies for small academic libraries. College & Research Libraries News, 70(7), 412-415.

Stokes, M. E., Davis, C. S., & Koch, G. G. (2012). Categorical data analysis using SAS. SAS institute.

 Stylidis, D., Belhassen, Y., & Shani, A. (2014). Three Tales of a City Stakeholders’ Images of Eilat as a Tourist Destination. Journal of Travel Research, 4(6) 702-716. doi: 10.1177/0047287514532373.

Thorarensen, H., Kubiriza, G. K., & Imsland, A. K. (2015). Experimental design and statistical analyses of fish growth studies. Aquaculture, 448, 483-490. doi:10.1016/j.aquaculture.2015.05.018

Tonetto, L. M., & Desmet, P. M. (2016). Why we love or hate our cars: A qualitative approach to the development of a quantitative user experience survey. Applied Ergonomics, 56, 68-74. doi:10.1016/j.apergo.2016.03.008

Turner, T. L., Balmer, D. F., & Coverdale, J. H. (2013). Methodologies and study designs relevant to medical education research. International Review of Psychiatry, 25, 301-310. doi:10.3109/09540261.2013.790310

Urbano, J. (2015). Test collection reliability: A study of bias and robustness to statistical assumptions via stochastic simulation. Information Retrieval Journal, 19(3), 313-350. doi:10.1007/s10791-015-9274-y

U.S. Department of Health and Human Services. (2014). Human subjects research (45 CFR 46). Retrieved from http://www.hhs.gov/ohrp/humansubjects/guidance/belmont.html

Valim, M. D., Marziale, M. H. P., Richart‐Martínez, M., & Sanjuan‐Quiles, Á. (2014). Instruments for evaluating compliance with infection control practices and factors that affect it: an integrative review. Journal of Clinical Nursing, 23(11-12), 1502-1519. doi:10.1111/jocn.12316

Van Vuuren, C., & Slabbert, E. (2012). Travel motivations and behaviour of tourists to a South African resort. Tourism & Management Studies, 13, 457–467. doi:10.1002/jtr.820

Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly, 37, 21-54. Retrieved from http://www.misq.org

Van Teijlingen, E., & Hundley, V. (2002). The importance of pilot studies. Nursing Standard, 16(40), 33-36. doi:10.7748/ns2002.06.16.40.33.c3214

Walls, J. L., Phan, P. H., & Berrone, P. (2011). Measuring environmental strategy: Construct development, reliability, and validity. Business & Society, 50(1), 71-115. doi:10.1177/0007650310394427

Wallace, S., Clark, M., & White, J. (2012). ‘It's on my iPhone’: attitudes to the use of mobile computing devices in medical education, a mixed-methods study. BMJ Open, 2(4), e001099. doi:10.1136/bmjopen-2012-001099

Wang, J. L., Chiou, J. M., & Müller, H. G. (2016). Functional Data Analysis. Annual Review of Statistics and Its Application, 3, 257-295. doi:10.1146/annurev-statistics-041715-033624

Webster, C., & Ivanov, S. (2014). Transforming competitiveness into economic benefits: Does tourism stimulate economic growth in more competitive destinations? Tourism Management, 40, 137-140. doi:10.1016/j.tourman.2013.06.003

Westerman, M. A. (2012). Conversation analysis and interpretive quantitative research on
psychotherapy process and problematic interpersonal behavior. Theory and
Psychology, 21(2), 155-178. doi:10.1177/0959354310394719

Whang, H., Yong, S., & Ko, E. (2015, in press). Pop culture, destination images, and visit intentions: Theory and research on travel motivations of Chinese and Russian tourists. Journal of Business Research. doi:10.1016/j.jbusres.2015.06.020

Yan, R., & Zhang, L. (2015). Linearity tests under the null hypothesis of a random walk with drift. Statistical Papers, 57(2), 407-418. doi:10.1007/s00362-015-0659-1

Yu-Jia, H. (2012). The moderating effect of brand equity and the mediating effect of marketing strategy on the relationship between service quality and customer loyalty: The case of retail chain stores in Taiwan. International Journal of Organizational Innovation, 5(1), 155-162. Retrieved from http://ijoi-online.org

Yüzbaşıoğlu, N., Topsakal, Y., & Çelik, P. (2014). Roles of Tourism Enterprises on Destination Sustainability: Case of Antalya, Turkey. Procedia-Social and Behavioral Sciences, 150, 968-976. doi:10.1016/j.sbspro.2014.09.109

Zandvanian, A., & Daryapoor, E. (2013). Mixed methods research: A new paradigm in educational research. Journal of Education and Management Studies, 3(4), 525-31. Retrieved from http://jems.science-line.com/

 Zehrer, A., & Hallmann, K. (2015). A stakeholder perspective on policy indicators of destination competitiveness. Journal of Destination Marketing & Management, 4(2), 120–126. doi:10.1016/j.jdmm.2015.03.003

Zhang, D., Yan, M., Niu, Y., Liu, X., van Zwieten, L., Chen, D., ... & Zheng, J. (2016). Is current biochar research addressing global soil constraints for sustainable agriculture?. Agriculture, Ecosystems & Environment, 226, 25-32. doi:10.1016/j.agee.2016.04.010

Zhang, H., Xiaoxiao, F., Liping, A. C., & Lin, L. (2014). Destination image and tourist loyalty: a meta-analysis. Tourism Management, 40, 213-223. doi:10.1016/j.tourman.2013.06.006

Zvoch, K. (2014). Modern Quantitative Methods for Evaluation Science Recommendations for Essential Methodological Texts. American Journal of Evaluation, 35(3), 430-440. doi:10.1177/1098214013514128