Linear regression is a ubiquitous approach for analyzing relationships between variables, but it assumes that those relationships are linear, which may not always be the case with real-world data. Generalized additive models (GAMs) are a straightforward and flexible tool that extend linear and generalized linear models to allow non-linear relationships. This workshop provides an overview […]
Network analysis is a popular approach for discovering and understanding connections among people or variables within a group or system. Applications are diverse, including studying social networks among peers, relationships among questionnaire items, and patterns of brain activity. This workshop will introduce you to fundamental concepts in network analysis, including: Working with and constructing network […]
This workshop is intended for people who have taken an introductory statistic course and feel comfortable with the material covered in our Introductory Statistics Using Python workshop. This is a hands-on workshop and all methods will be demonstrated using the python language and libraries such as pandas and statsmodels.Topics that will be covered include: Chi-squared […]
Surveys are an important tool to gain insight on a specific population. Online platforms have become popular for distributing and disseminating surveys. However, there are many issues such as non-response bias and question misinterpretation that can arise with surveys. This workshop will introduce you to the basic principles of survey development and questionnaire design and […]
Qualtrics is a powerful survey tools that allows researchers to create and distribute surveys to gather research data. This workshop will cover methods and strategies to extract and manage data that originated in Qualtrics for further analysis in statistical software such as R and SPSS. This workshop will address some of the common issues researchers […]
Conjoint analysis is a set of survey and statistical methods for understanding people’s choice processes and the factors that influence them. This workshop will introduce the basic concepts of conjoint analysis and methods for statistical analysis of conjoint data. Methods will be illustrated through examples in R, and options for implementing conjoint analysis in other […]
Population surveys are often implemented using a complex sampling design which can include features such as stratification, clustering, multi-stage sampling, and weighting. The statistical analysis of such a survey may yield biased population estimates and incorrect variance estimates if the design is not properly taken into consideration in the analysis. The purpose of this workshop […]
Population surveys are often implemented using a complex sampling design which can include features such as stratification, clustering, multi-stage sampling, and weighting. The statistical analysis of such a survey may yield biased population estimates and incorrect variance estimates if the design is not properly taken into consideration in the analysis. In this hands-on workshop, we […]
Population surveys are often implemented using a complex sampling design which can include features such as stratification, clustering, multi-stage sampling, and weighting. The statistical analysis of such a survey may yield biased population estimates and incorrect variance estimates if the design is not properly taken into consideration in the analysis. In this hands-on workshop, we […]
Population survey analyses rely on using valid survey weights. Creating and adjusting these weights is critical to ensuring that analyses of survey data accurately reflect the population and yield correct conclusions. This workshop will introduce participants to methods for creating, adjusting, and applying survey weights, including: Creating base weights for probability and nonprobability samples Modifying […]