#ReadingList: Articles

Continuing from my previous post, here's are on journal articles:



Seminal Work on Methods, Measurements, and Analysis:

• Baran, G. R., Kiani, M. F., & Samuel, S. P. (2014). Science, Pseudoscience, and Not Science: How Do They Differ? In Healthcare and Biomedical Technology in the 21st Century (pp. 19-57). Springer, New York, NY.
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
• Braun V., Clarke V., Hayfield N., Terry G. (2019) Thematic Analysis. In Liamputtong P. (Eds.), Handbook of Research Methods in Health Social Sciences (pp. 843-860). Springer, Singapore. 
• Brislin, R. W. (1986). The wording and translation of research instruments. In W. J. Lonner & J. W. Berry (Eds.), Cross-cultural research and methodology series, Vol. 8. Field methods in cross-cultural research (pp. 137-164). Thousand Oaks, CA, US: Sage Publications, Inc.
• Denzin, N. K. (2012). Triangulation 2.0. Journal of Mixed Methods Research, 6(2), 80-88. 
• Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of Qualitative Research (pp. 105-117). Thousand Oaks, CA, US: Sage Publications, Inc.
• Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4),408-420.
• Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
• Krosnick, J. A., & Fabrigar, L. R. (1997). Designing rating scales for effective measurement in surveys. Survey Measurement and Process Quality, 141-164.
• Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575.
• Norman, G. (2010). Likert scales, levels of measurement and the “laws” of statistics. Advances in Health Sciences Education, 15(5), 625-632.
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
• Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569.
• Ryan, G. W., & Bernard, H. R. (2003). Techniques to identify themes. Field Methods, 15(1), 85-109.

Updated with New Additions:

• Green, J. P., Tonidandel, S., & Cortina, J. M. (2016). Getting through the gate: Statistical and methodological issues raised in the reviewing process. Organizational Research Methods, 19(3), 402-432. https://doi.org/10.1177/1094428116631417 
• Hulland, J., Baumgartner, H., & Smith, K. M. (2018). Marketing survey research best practices: Evidence and recommendations from a review of JAMS articles. Journal of the Academy of Marketing Science, 46(1), 92–108. https://doi.org/10.1007/s11747-017-0532-y 
• Memon, M. A., Ting, H., Ramayah, T., Chuah, F., & Cheah, J. H. (2017). A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario. Journal of Applied Structural Equation Modelling, 1(1), 1-13. https://jasemjournal.com/home/archive/vol-1-issue-1/ 
• Rowley, J. (2014). Designing and using research questionnaires Management Research Review, 37(3), 308-330. https://doi.org/10.1108/MRR-02-2013-0027