everything.study
BUS 715

Experimental Methods for Behavioural Science

3 units

Winter 2026

Topics

  • Introduction, what is an experiment Due before class 2:
Winter 2021

Topics

  • Basic principles of experimental research
  • Formulation of research question and hypothesis development
  • Experimental paradigms
  • Design and manipulation
  • Measurement
  • Factorial designs
  • Implementation of experiments
  • Data analysis and reporting of results
  • Advanced methods and complex experimental designs
  • Ethical issues
  • Tentative. To be confirmed with enrolled students

Readings

  • Abdi, Edelman, Valentin, and Dowling (2009), Experimental Design and Analysis for
    recommended
  • Psychology, Oxford University Press
    recommended
  • Field and Hole (2003), How to Design and Report Experiments, Sage
    recommended
  • Keppel and Wickens (2004), Design and Analysis: A Researcher's Handbook, Pearson
    recommended
  • Kirk (2013), Experimental Design: Procedures for the Behavioral Sciences, Sage
    recommended
  • Martin (2007), Doing Psychology Experiments, Wadsworth
    recommended
  • Oehlert (2010), A First Course in Design and Analysis of Experiments, available online at: http://users.stat.umn.edu/~gary/book/fcdae.pdf ↗
    recommended
  • Oppenheimer, Meyvis, and Davidenko (2009), “Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power,” Journal of Experimental Social Psychology, 45, 867-872
    recommended
  • Zhao, Lynch, and Chen (2010), “Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis,” Journal of Consumer Research, 37, 197-206
    recommended
  • Spiller, Fitzsimons, Lynch, and McClelland (2013), “Spotlights, Floodlights, and the Magic Number Zero: Simple Effects Tests in Moderated Regression,” Journal of Marketing Research, 50, 277-288
    recommended
  • Cumming, Geoff (2014), “The New Statistics: Why and How,” Psychological Science, 25, 1, 7
    recommended
  • Elrod, Häubl, and Tipps (2012), “Parsimonious Structural Equation Models for Repeated Measures Data, With Application to the Study of Consumer Preferences,” Psychometrika, 77, 2, 358-387
    recommended
  • Simmons, Nelson, and Simonsohn (2011), “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant,” Psychological Science, 22, 11, 1359-1366
    recommended
  • Simonsohn, Nelson, and Simmons (2014), “P-Curve: A Key to the File-Drawer,” Journal of Experimental Psychology: General, 143, 2, 534-547
    recommended
  • Goodman and Paolacci (2017), “Crowdsourcing Consumer Research,” Journal of Consumer Research, 44, 1, 196-210
    recommended
  • McShane and Böckenholt (2017), “Single-Paper Meta-Analysis: Benefits for Study Summary, Theory Testing, and Replicability,” Journal of Consumer Research, 43, 6, 1048-1063
    recommended
  • Morales, Amir, and Lee (2017), “Keeping It Real in Experimental Research—Understanding
    recommended
  • When, Where, and How to Enhance Realism and Measure Consumer Behavior,” Journal of Consumer Research, 44, 2, 465-476
    recommended
  • Pieters (2017), “Meaningful Mediation Analysis: Plausible Causal Inference and Informative
    recommended
Sources