Path analysis is a form of a structural equation model in which all the variables in the model are observed and all the paths of the model are estimated simultaneously. Simply put, path analysis is a series of linear regressions. Hence, the same assumptions that we have for linear regression hold for path analysis. Path […]
Choice models can be used to describe how any individual makes a choice between a discrete set of choice alternatives. These methods are widely used in many fields including social sciences, economics, marketing, transportation, health, and animal behavior. This workshop will consist of a detailed description of the multinomial logit model, and the related conditional […]
Penalized regression is a modern statistical method that has gained much attention over the last decade as researchers in many fields are able to measure far more variables than ever before. Linear regression suffers in two important ways as the number of predictors becomes large. First, overfitting may occur, meaning that the fitted model does […]
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 […]
A major principle of the scientific method is replication, or the ability of an experiment or study to be duplicated. A similar idea is “reproducible research,” – that the results of a study can be reproduced given the raw data and the analysis protocols or methods (usually in code, script, or syntax form). With full […]
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 […]
Population surveys are often implemented using a complex design which can include features such as stratification, clustering, multi-stage sampling, and weighting. The statistical analysis of such a survey will yield incorrect results if the design is not properly taken into consideration in the analysis. The purpose of this workshop is to offer participants an overview […]
Population surveys are often implemented using a complex design which can include features such as stratification, clustering, multi-stage sampling, and weighting. The statistical analysis of such a survey will yield incorrect results if the design is not properly taken into consideration in the analysis. In this hands-on workshop, we will demonstrate how to analyze complex […]
Population surveys are often implemented using a complex design which can include features such as stratification, clustering, multi-stage sampling, and weighting. The statistical analysis of such a survey will yield incorrect results if the design is not properly taken into consideration in the analysis. In this hands-on workshop, we will demonstrate how to analyze complex […]
The workshop is intended to introduce participants to the principles of designing experiments and the reasons for adhering to these principles. We will explore methods for controlling extraneous variation in experiments, such as blocking and randomization using specific examples from a variety of fields.