Weeks 6 to 10: Quantitative

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Weeks 6 to 10: Quantitative

Day, Time & Location

Lecture 1: Monday 13:10-14:00, Teviot Lecture Theatre (Doorway 5), Medical School.

Lecture 2: Tuesday 13:10-14:00, Teviot Lecture Theatre (Doorway 5), Medical School.

Quant.1
Survey and Questionnaire Design
In this lecture will will introduce some key concepts in survey and questionnaire design, one of the main study design which yields data suitable for the methods discussed in this course.
Quant.2
Survey and Questionnaire Design
In this lecture will will introduce some key concepts in survey and questionnaire design, one of the main study design which yields data suitable for the methods discussed in this course.
Quant.3
Principal Components Analysis (PCA)
In this lecture we will introduce and discuss the first of our data reduction tools - PCA.
Quant.4
PCA and Exploratory Factor Analysis (EFA)
In this lecture we will finish going over PCA with an example, and introduce EFA, distinguishing it from PCA as a data reduction tool.
Quant.5
EFA 1
In this lecture we will talk about data checks and estimation of EFA.
Quant.6
EFA 2
In this lecture we will talk about the number of factors problem and factor rotation.
Quant.7
EFA 3
In this lecture we will talk about interpreting and modifying factor solutions, and demonstrate this with a full analysis example.
Quant.8
EFA 4
In this lecture we will talk about the estimation of scores for factors identified from EFA, and deal with the important topic of the reproducibility of factor solutions.
Quant.9
Reliability
In this lecture we will talk about the different forms of reliability, their practical uses and how to calculate them
Quant.10
Validity
In the last lecture, we will discuss the topic of the validity of scores for psychological constructs.