TIM-5221 v1

García-Pérez, M. A. (2012). Statistical conclusion validity: Some common threats and simple remedies. Frontiers in Psychology, 3, 325.
This resource explains the concept of statistical conclusion validity and provides suggestions for increasing statistical conclusion validity.

Parker, R. M. (1993). Threats to the validity of research. Rehabilitation Counseling Bulletin, 36(3), 130–38.
This article provides an excellent overview of threats to validity in research design, which includes the four major types of validity (internal, external, statistical conclusion, and construct validity).

Universität Düsseldorf. (n.d.). G*Power [computer software].
This link takes you to the website where you can download the free G*Power software for statistical computing power and determining sample size requirements for a research study.

Universität Düsseldorf. (2014). G*Power 3. 1 manual.
This resource provides the manual for the free G*Power software to conduct power analyses, which indicate the minimum sample size required, given a set of inputs or research parameters. Ensuring you have a sufficient sample size helps to increase the statistical conclusion validity of your research.