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2.010 - PDC01: Analyzing Data from International Large-Scale Assessments Using R

Thu, April 4, 9:00am to 5:00pm, Metro Toronto Convention Centre, Floor: 700 Level, Room 711

Session Type: Professional Development Course

Abstract

This course will introduce participants to the procedures of analyzing data from international large-scale assessments (ILSAs) using NCES’ EdSurvey R Package. Public-use TIMSS data files will be used as example data sets. Participants will begin installing the R EdSurvey package and importing the data files into R. They will learn how to manipulate the data, including merging, subsetting, and recoding data. The participants will learn how to use the EdSurvey package to perform the statistical techniques used most often in ILSAs data analyses, including selecting an appropriate sample, estimating the mean scale scores for groups of students, benchmark analysis, gap analysis, linear regression, logistic regression and correlations. This course will introduce unique design features of ILSAs data to researchers and provide guidance in data analysis strategies that they require, including the selection and use of appropriate plausible values, sampling weights, and variance estimation procedures. There will be designated time for participants using EdSurvey to practice the techniques with the variables of their own interest.

This course is designed for individuals who are interested in learning how to analyze ILSAs data, especially TIMSS, using the EdSurvey package. Participants should have at least basic knowledge of statistical techniques including statistical inference and multiple regression. Having working knowledge of R software, Item Response Theory and sampling theory is preferred. Participants need to bring a laptop preloaded with the latest version of the R and RStudio software to participate in the hands-on portion.

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