RESEARCH & EVALUATION METHODS COLLOQUIUM

Description

The REMC provides opportunities for students to engage in and lead focused discussions about and applications of research and evaluation methods in greater depth than is typically feasible in most classroom settings. By engaging in and leading focused discussions and applications of research and evaluation methods to both real and artificial problems, examples, and cases, students will be able to further develop, enhance, refine, and apply the methodological skills learned in their core research methods coursework. Quantitative, qualitative, and mixed method research and evaluation approaches and techniques will form the basis for most meetings including, but not limited to, design and measurement strategies for different types of problems, step-by-step analysis of quantitative and qualitative data, interpretation of findings, and working in both quantitative (e.g., SAS, SPSS, Mplus) and qualitative (e.g., MAXQDA, NVivo) data analysis applications. Problems and solutions will be examined from a variety of different disciplinary perspectives and traditions. Prior to each meeting students will be provided with a small set of problems, general instructions, and problem datasets. Each meeting will be led by a different student with assistance from the REMC moderator.

Contact the REMC Moderator

Dr. Chris L. S. Coryn

SCHEDULE

  • Friday, January 22 from 3:00-5:00 (Introduction)
  • Friday, February 5 from 3:00-5:00 (OLS Multiple Regression)
  • Friday, February 19 from 3:00-5:00 (2-B Factorial ANOVA)
  • Friday, March 12 from 3:00-5:00 (1-B 1-W ANOVA)
  • Friday, March 26 from 3:00-5:00 (ICC Method for Rater Reliability)
  • Friday, April 9 from 3:00-5:00 (Kappa Method for Rater Reliability)
  • Friday, April 23 from 3:00-5:00
  • Friday, May 7 from 3:00-5:00

PROBLEMS

All problems are available in .pdf format.

    OLS Multiple Regression (PDF)

    2-B Factorial ANOVA (PDF)

    1-B 1-W ANOVA (PDF)

    ICC Method for Rater Reliability (PDF)

    Kappa Method for Rater Reliability (PDF)

DATA SETS

Data sets are available in ASCII format for SAS and Mplus, .sav format for SPSS, and .xlsx format for general use.