Survey Research

2017 Summer Courses in Survey Research

Sharpen Your Survey Research Skills During the Summer

PP 5376 Applied Quantitative Methods (May 31 - July 1)

A review of basic statistics, designed to develop an intuitive and practical understanding of statistical techniques that will enable students to understand, evaluate, generate, and present data. The course will review the following key elements of statistics: descriptive statistics, exploratory data analysis, probability theory, statistical inference, hypothesis testing, and regression analysis. By the end of the semester, students will have basic facility with describing a data set, using it to make inferences about the world, and to begin analyzing management, public policy, program evaluation, or public opinion issues. 3 Credits - $2,250

PP 5397 Introduction to Multipopulation Survey Research Methods  (June 12 - August 19)

This course provides an introduction to methods for designing multilingual and multicultural survey research projects. It will also introduce some of the key considerations for designing multinational surveys. Students will be introduced to unique methodological considerations for multilingual/multicultural studies throughout the project lifecycle, including: sampling, questionnaire design, fielding, data interpretation and analysis. 3 Credits - $2,250

Contact Us for More Information

PP 5397 Applied Survey Analysis with SPSS (June 5 - June 30)

This one-credit short course provides an introduction to SPSS. Students will manage a data set in SPSS, define missing values, and create new variables. Students will also run frequency tables and crosstabs, conduct chi-square-tests in SPSS and build scales assessing Cronbach’s alpha. Further, we will compare means in SPSS using t-tests and Analysis of Variance (ANOVA). Students will learn how to specify OLS regression models and dichotomous or ordered logit or multinomial logit for categorical dependent variables that typically exist in survey data sets. 1 Credit - $750

PP 5397 Applied Survey Analysis with R (July 3 - July 28)

This one-credit short course is an introduction to R. Students will manage a data set in R, define missing values, and create new variables. Students will also run frequency tables and crosstabs, conduct chi-square-tests in R and build scales assessing Cronbach’s alpha. Further, we will compare means in R using t-tests and Analysis of Variance (ANOVA). Students will learn how to specify OLS regression models and dichotomous or ordered logit or multinomial logit for categorical dependent variables that typically exist in survey data sets. 1 Credit - $750

PP 5397 Applied Survey Analysis with Stata (July 31 - Aug 25)

This s one-credit short course gives an introduction to Stata. Students will manage a data set in Stata, define missing values, and create new variables. Students will also run frequency tables and crosstabs, conduct chi-square-tests in Stata and build scales assessing Cronbach’s alpha. Further, we will compare means in Stata using t-tests and Analysis of Variance (ANOVA). Students will learn how to specify OLS regression models and dichotomous or ordered logit or multinomial logit for categorical dependent variables that typically exist in survey data sets. 1 Credit - $750

Contact Us for More Information