Statistical Analysis in Psychological Research

Descripción

Gain a thorough understanding of statistical techniques used in psychology, from descriptive statistics to advanced inferential methods. This course equips learners with the skills to analyze, interpret, and draw meaningful conclusions from psychological data. Focusing on the quantitative side of psychological research, this course covers descriptive statistics, principles of statistical inference, and key statistical tests such as t-tests, correlation, ANOVA, and non-parametric methods. Learners will develop the ability to summarize data, test hypotheses, and interpret statistical results in the context of psychological studies. The course emphasizes both conceptual understanding and practical application, preparing learners to critically assess and conduct statistical analyses. Through a structured progression of readings, videos, and quizzes, the course builds statistical literacy and confidence. Learners are supported in developing a deep understanding of statistical reasoning and its application to real-world psychological research. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. This Specialization is based on the book Research Methods and Statistics in Psychology, by S Alexander Haslam and Craig McGarty. Copyright ©2019 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.