Statistics

On this page, you can find Karin’s favorite academic resources related to statistical analysis and psychophysiological measurement.

Statistical analysis

General

• Website: http://quantpsy.org/
  Quantpsy.org is Dr. Preacher’s website, where he shares a LARGE number of useful publications and online utilities, such as how to probe interaction effects and regions of significance. Very good stuff.
• Website: www.afhayes.com and www.processmacro.org
  Two websites by Dr. Hayes that also provide a lot of useful resources related to moderation and mediation analysis.
• Website: http://www.john-uebersax.com/stat/agree.htm
  I appreciate this website for listing explanations and different statistical methods to verify agreement between measures. There’s much more to it than you might think!

Multilevel modeling

• Article: A primer on multilevel modeling (Hayes, 2006). A really readable introduction on multilevel modeling in communication science.
• Book: An introduction to multilevel modeling techniques – MLM and SEM approaches using Mplus (Heck & Thomas, 2015). This is a really useful book if you (like me) wish to learn more about running more advanced (multilevel) analyses in Mplus. I found this book very clear and helpful, providing both information about the analysis itself as well as how to write the input for Mplus.
  
• Article: Multilevel models for repeated measures research designs in psychophysiology: An introduction to growth curve modeling. (Kristjansson et al., 2007). Very clear paper on how you can use multilevel modeling to analyze repeated measures data (such as psychophysiological data).
• Article: On multi-level modeling of data from repeated measures designs: a tutorial (Quené & van den Bergh, 2004).
• Article: Children’s Prototypic Facial Expressions During Emotion-Eliciting Conversations With Their Mothers (Castro et al., 2018). In this article, multilevel modeling is applied to repeated measures data of children’s facial expressions. The Results section includes a very clear description of the statistical models, which is helpful when you would like to apply the theory of MLM to the practice of analyzing your own data.

Longitudinal modeling

• Article: New developments in latent variable panel analyses of longitudinal data.
  A very clear paper by Little, Preacher, Selig, & Card about the theory behind testing longitudinal measurement invariance and cohort effects.

(Zero-Inflated) Poisson Regression

• Article: Rethinking How Family Researchers Model Infrequent Outcomes: A Tutorial on Count Regression and Zero-Inflated Models
• Article: The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives

 Bayesian analysis

• Article: A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research.
• Article: How much evidence is p > .05? Stimulus Pre-Testing and Null Primary Outcomes in Violent Video Games Research.
  Very clear application of Bayesian analysis to the contentious field of media violence research.
• Software: JASP Stats. A free program to conduct classic frequentist and Bayesian analysis in an easy way.

Psychophysiological measurement

• Cacioppo, Tassinary & Berntson (2007). Handbook of Psychophysiology.
• Potter & Bolls (2012). Psychophysiological measurement and meaning: Cognitive and emotional processing of media. (Accessible via your university network).
• Ravaja (2004). Contributions of Psychophysiology to Media Research: Review and Recommendations. Media Psychology.

 

Do you have any useful resources of your own to share? Please email me at k.m.fikkers [at] uu.nl!

Note: These resources are provided as inspiration only – whether or how you use them is your own responsibility.