EDR-8502 v1

Irwing, P., Booth, T., & Hughes, D. J. (2018). The Wiley handbook of psychometric testing: A multidisciplinary reference on survey, scale and test development. John Wiley & Sons.
Supplementary textbook reading Chapters 4 and 5 (pages 95-111) discuss issues related to sampling.

Henry, G. T. (2009). Practical sampling. In L. Bickman, & D. J. Rog The SAGE handbook of applied social research methods (pp. 77-105). SAGE. doi:10.4135/9781483348858
This reading differentiates the various conceptions of “population,” including general population, target population, study population, and special population. It also provides an overview of probability and non-probability sampling methods and places the sampling methodology within the context of the nature of the study, differentiating exploratory, developmental, descriptive, and explanatory approaches.

Daniel, J. (2012). Sampling essentials: Practical guidelines for making sampling choices. SAGE. doi:10.4135/9781452272047
Retain this reference as a practical guide to making sampling choices. Read Chapters 1-5, which are relatively brief. Pay particular attention to Chapter 2 on the difference between taking a census and sampling as students often struggle with this in a practical sense.

G*Power: Statistical Power Analyses for Windows and Mac. (n.d.). G*Power: Statistical power analyses for Windows and Mac. HHU.
Download G*Power software from this resource, which is a statistical tool for sample size justification.

Kadam, P., & Bhalerao, S. (2010). Sample size calculation. International Journal of Ayurveda Research, 1(1), 55–57.
This resource will help explain the importance of and how to calculate sample size. *Note: a researcher can’t just ‘guess’ sample size. In a quantitative study you must statistically measure minimum sample size.

Lenth, R. V. (2001). Some practical guidelines for effective sample size determination. The American Statistician, 55(3), 187-193.
This resource will help you further your understanding of sample size justification.

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.
This resource provides you with a better understanding of sample issues such as sample size justification.

Kalkbrenner, M. T. (2021). A practical guide to instrument development and score validation in
the social sciences: The MEASURE Approach. Practical Assessment, Research, and Evaluation, 26(1), 1-18.
This is a practical resource on designing test instruments and scoring validation.

Lee, E. S., & Forthofer, R. N. (2011). Sample design and survey data. SAGE.

Hoenig, J. M., & Heisey, D. M. (2001). The abuse of power: The pervasive fallacy of power calculations for data analysis. The American Statistician, 55(1), 19-24.
This article includes an example of statistically supporting sample size. This resource discusses fallacies of power calculations that are important to consider.