Statistical Training Program

Formulating Close-ended Questions for Surveys
10 Nov

Formulating Close-ended Questions for Surveys

This workshop provides an overview to the formulation, wording and sequencing of close-ended questions (CEQs), within the context of the logics and practicalities of constructing a questionnaire to support research. We cover the "do's and don'ts" of writing close-ended survey questions, including tips on the wording and placement of demographic and sensitive questions.
Interviewing Skills as part of Mixed Methods
03 Nov

Interviewing Skills as part of Mixed Methods

This workshop provides a set of practical skills, most relevant to conducting semi-structured interviews, while also applicable to other kinds of interviews, and as part of a mixed methods study.
An Introduction to multiple regression with a focus on the model
01 Nov

An Introduction to multiple regression with a focus on the model

Regression is at the foundation of many advanced statistical modelling methods, so it is important to gain a firm foundation in regression with multiple predictor variables.
Formulating Open-ended Questions for Interviews within Mixed Methods
26 Oct

Formulating Open-ended Questions for Interviews within Mixed Methods

This workshop provides a practical guide to the formulation, wording and sequencing of open-ended questions (OEQs), in the context of a semi-structured interview, and as part of a mixed methods study.
Regression - an introduction with a focus on the model
24 Oct

Regression - an introduction with a focus on the model

This workshop introduces regression, from the perspective of modern statistical emphasis on modelling rather than null hypothesis testing. Using a worked example, we will step you through the process of specifying a simple linear regression model, and evaluating the fit using summary statistics as well as diagnostics.
Multinominal Regression
21 Oct

Multinominal Regression

This workshop comes fifth in a series of workshops on the statistical analysis of Likert-scaled survey data. Although all of these workshops use R, we focus on interpretation of outputs, which are similar across packages. So participants can ignore the "R" code and sit next to someone else producing the outputs.