Description

Carefully crafted from all lecture content, online videos and selected key points from tutorials, these complete subject notes act as a high-quality resource for revising and studying this subject well. Essential definitions, external research and tables have also been incorporated for further clarity and to enhance an overall understanding of course material. These notes have been organised in a manner whereby each section (weeks 1 to 10, where the usual 12 weeks were staggered into 10 weeks for this subject) contain detailed lecture and R video material and critical points from tutorials deemed to improve further understanding of the weekly topic. Certain phrases or words have been coloured for the purpose of drawing attention to important definitions, ideas or themes. Code that can be used as R input has also been coloured in blue. As an added bonus, three critical 'cheat sheets' (personal notes that were allowed for assessments in 2020) have been specially created to help with R content and understanding different kinds of statistical tests. Topics covered: Week 1: Introduction to Research Methods Week 2: Basics of R Week 3: Data Manipulation Week 4: Graphs & Plotting Week 5: Statistical Theory Week 6: Chi-Squared Tests Week 7: T-Tests Week 8: Analysis of Variance Week 9: Psychological Assessment 1 & Regression Week 10: Psychological Assessment 2 & Revision Bonus: Cheat Sheets Disclaimer: although these notes have been specifically crafted and revised to improve understanding of relevant course material in an organised manner, it should not be solely relied on. Students of this subject should develop their own notes through lectures, readings and tutorials because subject material may change yearly.


UniMelb

Semester 1, 2020


74 pages

22,897 words

$29.00

81

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