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Module

PSY2010 : Statistics for Empirical Psychology (Inactive)

  • Inactive for Year: 2024/25
  • Module Leader(s): Dr Daniel Henderson
  • Owning School: Psychology
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System

Aims

To provide an understanding of statistical methods relating to Analysis of Variance and Regression and Correlation. The methods will include parametric and non-parametric techniques and will include appropriate computational methods.

In the modern age advanced analysis and interpretation of data has become universally important. The aim of the course is to enhance levels of both statistical literacy and numeracy. It will enable students to analyse their own experiments and interpret the reports of others.

Outline Of Syllabus

Review of t-tests and Non-Parametric Methods for comparing two populations. One-Way and Two-Way Analysis of Variance. Design and Analysis of Experiments. Planned Comparisons and Post Hoc Tests. Non-parametric Methods for Comparing Several Populations (Kruskal-Wallis & Friedman). Correlation, Simple Regression Analysis, Multiple Regression Analysis.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture111:0011:00Present in person
Guided Independent StudyAssessment preparation and completion341:0034:00N/A
Scheduled Learning And Teaching ActivitiesPractical102:0020:00Present in person
Scheduled Learning And Teaching ActivitiesDrop-in/surgery11:001:00Present in person
Guided Independent StudyIndependent study341:0034:00N/A
Total100:00
Teaching Rationale And Relationship

Practical materials enable students to apply statistical methods and provide an opportunity for students to clarify any misunderstandings about the methods taught in the lectures. Calculations are carried out both by hand and on computer using SPSS and they are intended to enable students to develop their computing skills. The lectures will provide the students with worked examples and theory which they will then apply in the practical sessions.

There will be continuous formative practice offered throughout the semester, much of which is in the Numbas platform, allowing for instant feedback to students.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1201A807 questions (5 short, 2 long), unseen, present in person
Other Assessment
Description Semester When Set Percentage Comment
Computer assessment1M10Approx 3 questions via Numbas
Computer assessment1M10Approx 3 questions via Numbas
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Computer assessment1MApprox 3 questions via Numbas prior to the first summative computer assessment
Assessment Rationale And Relationship

The examination assesses knowledge and understanding of statistical methods and will require an ability to draw on material from throughout the course. In the case an in-person exam is not possible, a fall back “virtual” exam will replace it.

The computer assessments will be equally spaced across the semester to help to avoid over-assessment of the students at the end of the semester in week 9. Each computer assessment will be in the online platform Numbas, will be relatively short, and will contain by hand calculation, SPSS work and short discursive work. The formative computer assessment will take place prior to the first assessed computer assessment, to provide the students with feedback before the first weight carrying assessment.

Reading Lists

Timetable