175746

Psychological Research: Quantitative Data Analysis

An examination of how psychologists use quantitative data analysis techniques to address complex research problems involving multiple variables. Techniques including multiple regression, factor analysis and structural equation modelling are explored, with an emphasis on the relationships between analyses, research questions and design issues.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.

175746

Level

The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).

700-level

Credits

Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.

15

Subject

Psychology

Course planning information

Course notes

No prior exposure to statistics beyond that usually obtained as part of an undergraduate psychology degree is assumed.

General progression requirements

You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Interpret the statistical output produced by a range of quantitative data analysis techniques (e.g., from journal articles or printouts produced by computer programs).
  • 2 Identify and evaluate the appropriateness of potential quantitative data analysis strategies given information about the aims, measurement procedures and design of a psychological study.
  • 3 Critically evaluate the validity of conclusions reached on the basis of quantitative data analyses (e.g., as reported in journal articles in psychology).

Learning outcomes can change before the start of the semester you are studying the course in.

Assessments

Assessment Learning outcomes assessed Weighting
Written Assignment 1 2 3 30%
Written Assignment 1 2 3 30%
Exam College/GRS-based (not centrally scheduled) 1 2 3 40%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
Participation
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Portfolio
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Simulation
Technology-based or experience-based simulations.
Test
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

Textbooks can change. We recommend you wait until at least seven weeks before the semester starts to buy your textbooks.

Compulsory

DISCOVERING STATISTICS USING IBM SPSS STATISTICS (5ND EDITION)

Author
FIELD, ANDY
ISBN
9781526419521..
Edition
2017 (5TH ED.)
Publisher
SAGE

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