Statistics for Psychology Research
eBook - ePub

Statistics for Psychology Research

A Short Guide Using Excel

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Statistics for Psychology Research

A Short Guide Using Excel

About this book

This book aims to help psychology students build their skills to conduct research and analyses using Microsoft Excel's Data Analysis Toolpak. Concise yet comprehensive, this accessible textbook walks students through basic research methodology, central tendency, variability, standardized scores, t-tests (independent and related samples), One-way Analysis of Variance (between-groups and repeated measures), the Pearson correlation, and Chi Square analyses. Each chapter includes examples of research questions to be addressed, the rationale for the analysis, a step-by-step analysis of the dataset in equation format and using Microsoft Excel, and how to present results in APA (7th Edition) style.

The extensive didactic material encompasses end-of-chapter questions, learning outcomes, sidebar boxes with common mistakes to avoid, and biographical sketches of those who developed research methods and statistical techniques. Students and instructors will also benefit from a companion website where PowerPoint slides and additional exercises, datasets, and resources are available. Ideal for undergraduate psychology courses, this textbook can also be of use for those interested in learning more about statistical research and its practical application at university and beyond.

Test your knowledge with questions and answers about the book with Springer Nature Flashcards.

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Yes, you can access Statistics for Psychology Research by Adam T. Hutcheson,Kristina Groce Brown in PDF and/or ePUB format, as well as other popular books in Social Sciences & Entreprise Applications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Basic Research Methods in Psychology
  4. 2. Central Tendency and Variability
  5. 3. Standardized Scores
  6. 4. Beginning Hypothesis Testing and Effect Size
  7. 5. The Independent Samples t-Test
  8. 6. The Related Samples t-Test
  9. 7. Analysis of Variance
  10. 8. Repeated Measures ANOVA
  11. 9. Correlation and Regression
  12. 10. Chi-Square
  13. Back Matter