PSYC 501

Spring 2021 All Classes

All Classes

Best Psych Research Practices

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Credit: 2 TO 4 hours.

Explores topics concerning the best research practices used in the different areas of psychology. Examination of recent advances in research design, analysis, and reporting will hone methodological and statistical intuitions. Students will investigate the growing literature on problematic practices, consider proposed solutions, and construct and evaluate simulations to enhance their understanding of the best methodologies so they can contribute to a more open and reproducible psychological science.

2 to 4 graduate hours. No professional credit. May be repeated up to 8 graduate hours, if topics vary.

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PSYC 501 class schedule data for spring 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	67778	Online Discussion	A	9:00AM -10:50AM	W	n.a.	Fraley, R Tancredy, C	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 2 hours Restriction(s): Restricted to MS: Psychological Science-UIUC.
	70377	Online Discussion	B	2:00PM -4:50PM	T	n.a.	Briley, D	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Info: Section Title: Applied Structural Eq Modeling Section Info: Structural equation modeling (SEM) is a highly flexible suite of statistical tools. Researchers most often use SEM to analyze latent variables, to incorporate multiple dependent variables simultaneously, to model longitudinal change, to investigate mediation and moderation, or to specify an exact conceptual model. Beyond these common uses, SEM can also be used with experimental, meta-analytic, and diary data. Parametric and nonparametric models are available. Simulation studies to estimate power with complex designs are feasible. SEM is applicable for just about any type of psychologist, and it can likely make your statistical life much easier. In this course, we will discuss how to make the most of SEM and apply the techniques to your data. We will begin with the basics of path and factor analysis, building up to more complex models. The focus will be on implementing the techniques with real data.