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Module

PSY2010 : Statistics for Empirical Psychology

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Kevin Wilson
  • Owning School: Psychology
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

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 z-tests, t-tests and Non-Parametric Methods for comparing two populations. One 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

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion401:0040:00N/A
Structured Guided LearningLecture materials220:3011:00Non-synchronous online - Explanation of techniques, worked examples and software demonstrations
Scheduled Learning And Teaching ActivitiesPractical21:002:00Present in person session
Structured Guided LearningAcademic skills activities140:307:00Non-synchronous online - By hand and SPSS exercises
Scheduled Learning And Teaching ActivitiesDrop-in/surgery41:004:00Synchronous online - Prior to each assessment date
Guided Independent StudyIndependent study351:0035:00N/A
Scheduled Learning And Teaching ActivitiesModule talk11:001:00Synchronous online- Introduction to module
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 lecture materials. Calculations are carried out both by hand and on computers using SPSS and they are intended to enable students to develop their computing skills. The lecture materials will provide the students with worked examples and theory which they will then apply in the academic skills activities.

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

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

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

Other Assessment
Description Semester When Set Percentage Comment
Computer assessment1M34Approx 3 questions via Numbas
Computer assessment1M33Approx 3 questions via Numbas
Computer assessment1M33Approx 3 questions via Numbas
Assessment Rationale And Relationship

The computer assessments will be equally spaced across the semester to help to avoid over-assessment of the students 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.

Reading Lists

Timetable