LibGuides: EDR-8500: Week 3 Resources

Week 3 Resources

An Applied Guide to Research Designs: Quantitative, Qualitative, and Mixed Methods by W. Alex Edmonds; Thomas D. Kennedy
ISBN: 9781483317274
Publication Date: 2016-05-30
Edmonds, W. A., & Kennedy, T. D. (2017). An applied guide to research designs: Quantitative, qualitative, and mixed methods (2nd ed.). SAGE.
This resource will explain randomization, pretest/posttest, time-series, or factorial design, population, and sample. Please read and focus on pp. 13-26, 29-92 this week.

* There is a "Show Page Numbers" function available when you access the book's chapters. It is above the title of the chapter, off to the right. This is an example:

G*Power: Statistical Power Analyses for Windows and Mac
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.
Sampling Design and Survey Data
Lee, E. S., & Forthofer, R. N. (2011). Sample design and survey data. SAGE.
G*Power
This page provides tutorials for downloading and using G*Power to calculate sample sizes.

Kaltura User Guide
National University (2023). Kaltura User Guide. Graduate Studies Support Center.
This resource includes instructions for recording and uploading videos into courses using Kaltura.

Optional Resources Week 3

An Introduction to Randomized Controlled Trials
Cho, S. (Academic). (2017). An introduction to randomized controlled trials [Video file]. SAGE.
This 12.5-minute video is about how randomization works in research.
Experimental Design
Salkind, N. J. (2010). Experimental design. In Encyclopedia of research design (Vols. 1-0). SAGE.
This is a good overview of research design in general and the various concepts discussed this week.
Factorial Design
Salkind, N. J. (2007). Factorial design. In Encyclopedia of measurement and statistics (Vols. 1-0). SAGE.
This is an entry about factorial designs.
Sample Size Calculation
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.
Some Practical Guidelines for Effective Sample Size Determination
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.
Statistical Power Analyses using G*Power 3.1: Tests for Correlation and Regression Analyses
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.
The Abuse of Power: The Pervasive Fallacy of Power Calculations for Data Analysis
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.