PSY105 – Statistics in Psychology I

Bachelor of Science in Psychology

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Core Course

PSY105 – Statistics in Psychology I

Course Unit Code: PSY105

Type Of Unit: Compulsory 

Level of Course Unit: Undergraduate

Year of Study: Year 1

Semester: Semester 2

Number of ECTS Credits: 7.5

Class Contact Hours: 36

Mode of Delivery

Face to Face

Prerequisites

None

Course Objectives

The purpose of this course is to give students a thorough understanding of the essential statistical ideas and methods required for carrying out rigorous research in the field of psychology. Students who complete this course will have the knowledge and abilities needed to efficiently analyze, interpret, and come to reliable conclusions from psychological data. Students will be better equipped to evaluate existing research critically, create their own experiments, and expand our understanding of psychology by mastering these statistical methods.

Learning Outcomes

The following learning outcomes are expected, where students will:

Exhibit a firm grasp of the basic statistical principles and vocabulary that apply to psychology.

Use descriptive statistics to analyze and interpret psychological data.

Describe the fundamental ideas behind sampling and probability theory and their application in psychology.

Conduct statistical studies using statistical software and interpret results in the context of psychological research questions.

Communicate statistical findings effectively to both technical and non-technical audiences.

Course Content

Students should acquire a thorough understanding of the essential statistical ideas and methods required for carrying out rigorous research in the field of psychology. Students who complete this course will have the knowledge and abilities needed to efficiently analyze, interpret, and come to reliable conclusions from psychological data. Students will be better equipped to evaluate existing research critically, create their own experiments, and expand our understanding of psychology by mastering these statistical methods.

Week 1: Introduction to Statistics in Psychology

Week 2: Descriptive Statistics

Week 3: Data Visualization

Week 4: Probability and Sampling Distributions

Week 5: Introduction to Inferential Statistics

Week 6: Confidence Intervals

Week 7: Parametric Tests

Week 8: Nonparametric Tests

Week 9: Correlation and Regression

Week 10: Ethical Considerations in Statistical Analysis

Week 11: Practical Data Analysis with Statistical Software

Week 12: Critical Evaluation of Research Studies

Week 13: Application of Statistical Techniques

Week 14: Communicating Statistical ResultsTop of Form

Course Features

Teaching methodology: Lecture and labs

Assessment:

Midterm & Final Exam (30% & 30%): Mid-term and final exams will be conducted covering the entire course. Both exams will include multiple-choice, short-answer, and essay questions.

Group assignment (25%), where students will work together to analyse a provided dataset and present their findings.

Individual in-class assignment (5%), where students will be asked to perform specific analyses using statistical software.

Presence and Participation (10%): Students should be present and actively participate in in-class discussions.

Readings

Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. Sage Publications.Top of Form

PSY105 – Statistics in Psychology I

Bachelor of Science in Psychology

Return to the program

Core Course