MATH 80667A

Experimental Designs and Statistical Methods

Subject
Mathematics
Program
PhD
Location
Côte-des-Neiges
Instruction mode
Credits
3
Description

Basic concepts for data collection planning; appropriate statistical analyses of these data and interpretation of results. Advantages and disadvantages of the various experimental designs. This course is designed for PhD students undertaking quantitative research in management.

This course has four main objectives: 1) to present the major experimental designs used for research in management and in the behavioral sciences; 2) to familiarize students with the statistical methods and a software (e.g., SPSS) to analyze experimental data; 3) to interpret and present results from the statistical analyses and discuss the validity and limits of the results; 4) to understand and to criticize the methodology and statistical results of published articles in the research fields of the students.

Themes covered

Basic principles of experimental designs
Completely randomized designs
Contrasts and multiple testing
Effect sizes and power
Blocked designs and analysis of covariance
Moderation and linear mediation analysis
Introduction to causal inference
Repeated measures designs and introduction to mixed models

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