This course concerns statistical analysis and design for experiments in Psychology to the level required for British Psychological Society graduate membership.

Course Objectives

1. To impart basic statistical skills for the analysis of data obtained in psychological experiments.

2. To teach the key characteristics of experimental design.

3. To develop statistical skills using computer packages.

4. To develop report writing skills.

Curriculum organisation and delivery

The course will be taught across a whole academic year using lectures and practical classes involving computers. It will start from an elementary level and develop quickly to advanced statistics based on the general linear model used in analysis of variance. Students will carry out a personal experimental project that will be discussed in the computer practical lab sessions.

Module outline

Lecture 1 Introduction to the module and psychology research 1

Lecture 2 Introduction to psychology research 2

Lecture 3 Introduction to psychology research 3

Lecture 4 Introduction to psychology research 4

Lecture 5 Introduction to psychology research 5

Lecture 6 Inferential statistics 1: Samples and population

Lecture 7 Inferential statistics 2: Probability

Lecture 8 Inferential statistics 3: Hypothesis testing

Lecture 9 Hypothesis testing: comparing two means 1

Lecture 10 Hypothesis testing: comparing two means 2

Lecture 11 Correlation and regression 1

Lecture 12 Correlation and regression 2

Lecture 13 Correlation and regression 3

Lecture 14 Single factor ANOVA 1

Lecture 15 Single factor ANOVA 2

Lecture 16 Single factor ANOVA 3

Lecture 17 Single factor ANOVA 4

Lecture 18 Factorial ANOVA 1

Lecture 19 Factorial ANOVA 2

Lecture 20 Factorial ANOVA 3

Course Objectives

1. To impart basic statistical skills for the analysis of data obtained in psychological experiments.

2. To teach the key characteristics of experimental design.

3. To develop statistical skills using computer packages.

4. To develop report writing skills.

Curriculum organisation and delivery

The course will be taught across a whole academic year using lectures and practical classes involving computers. It will start from an elementary level and develop quickly to advanced statistics based on the general linear model used in analysis of variance. Students will carry out a personal experimental project that will be discussed in the computer practical lab sessions.

Module outline

Lecture 1 Introduction to the module and psychology research 1

Lecture 2 Introduction to psychology research 2

Lecture 3 Introduction to psychology research 3

Lecture 4 Introduction to psychology research 4

Lecture 5 Introduction to psychology research 5

Lecture 6 Inferential statistics 1: Samples and population

Lecture 7 Inferential statistics 2: Probability

Lecture 8 Inferential statistics 3: Hypothesis testing

Lecture 9 Hypothesis testing: comparing two means 1

Lecture 10 Hypothesis testing: comparing two means 2

Lecture 11 Correlation and regression 1

Lecture 12 Correlation and regression 2

Lecture 13 Correlation and regression 3

Lecture 14 Single factor ANOVA 1

Lecture 15 Single factor ANOVA 2

Lecture 16 Single factor ANOVA 3

Lecture 17 Single factor ANOVA 4

Lecture 18 Factorial ANOVA 1

Lecture 19 Factorial ANOVA 2

Lecture 20 Factorial ANOVA 3

- Module Supervisor: Maxwell Roberts