Workshop Series

2018 Summer

Using Stata on Long-Format Data
Instructor: Hsueh-Sheng Wu
Monday, May 21, 1:30–2:30 pm
CFDR Conference Room, 7C Williams Hall
        Social science data can be analyzed in wide or long format. Long format data have advantages over wide format data for creating aggregate-level variables from individual respondents and for the event history analysis. This workshop demonstrates how to use Stata to accomplish the following tasks: (1) reshape data between wide and long formats, (2) construct family-level variables from the information on all family members, and (3) create predictors, outcome variables, and person-year data for the event history analysis.

Introduction to Wave V Add Health Data     
Instructor: Hsueh-Sheng Wu
Monday, June 4, 1:30–2:30 pm
CFDR Conference Room, 7C Williams Hall
        The National Longitudinal Study of Adolescent to Adult Health, often called Add Health, first surveyed a nationally representative sample of 7th- through 12th-graders during the 1994-95 school year and followed them in years 1996, 2001-2002, 2008, and 2016-2018.  The Wave V of Add Health, collected in 2016-2018, provides a unique opportunity for researchers to look at how social, environmental, behavioral, and biological factors are associated with individual well-being and behavior when people transit from adolescence to young adulthood and then to midlife. This workshop will describe the availability and location of the data and codebook files of Wave V survey, the structure of the data, and how to locate and use some of the common variables in the data set.

Factor Analysis
Instructor: Hsueh-Sheng Wu
Monday, June 18, 1:30–2:30 pm
Bowen-Thompson Student Union, Room 314
        Social scientists often need to use multiple items to measure a construct of research interest. The sum score of these items is then used to represent the construct, and Cronbach alpha is used to evaluate the extent to which the sum score is a reliable estimate of the construct. This workshop is designed to explain what factor analysis is, why factor analysis serves as a theoretical foundation for the use of the sum score to represent the construct, how factor analysis is related to Cronbach alpha, how to conduct factor analysis using Stata, and what the limitations of factor analysis are.

Item Response Theory
Pre-registration is required as space is limited. Please contact the CFDR office to register.
Instructor: Dr. Tenko Raykov, Michigan State University
Monday and Tuesday, June 25 and 26, 9:00 am to 5:00 pm
1005 Business Administration Building Annex
        This two-day seminar provides a thorough introduction to Item Response Theory (IRT). IRT is an approach to evaluating the psychometric properties of instruments and scales used in research. Throughout the seminar, numerous empirical examples are utilized from the educational, behavioral, and social sciences. The popular packages Stata and Mplus are used in the examples, along with a detailed discussion of the needed command syntax and interpretation of the resulting output.

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