Develop essential it support & administration skills with expert instruction and practical examples.
Drawing on my BSc, MSc, and PhD degrees in psychology and neuroscience and over a decade of experience working with university students, especially those studying social sciences, I designed this course to cover the majority of analyses that students usually encounter in their first year. The Analyses Covered By the CourseThe course covers the following analyses: Independent t-tests, Mann-Whitney U tests, paired t-tests, Wilcoxon signed-rank tests, chi-squared goodness of fit tests, and chi-squared tests of independence. Additionally, the course covers how to process questionnaire data, focusing on entering data, identifying and labelling invalid responses, reverse coding, internal reliability, and creating mean (i.
e. , average) and sum (i. e.
, total) scores. What You'll LearnFor each of the analyses, you'll receive clear, step-by-step guidance on when to use them, how to enter the data, how to check assumptions, how to run the test, how to create a graph, how to interpret the results, and how to report the results in APA style. With this knowledge, you'll be a step ahead of your university peers.
ResourcesEach section of the course focuses on a different analysis and comes with a range of valuable resources, including the data files used in the videos, information sheets with key details about the analyses (e. g. , when to use them, example hypotheses, assumptions), and example APA results sections.
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