Statistics for Psychology, Global Edition

Texte du rabat

For courses in Statistics in Psychology. Emphasize meaning and concepts rather than symbols and numbers Statistics for Psychology emphasizes the logic behind statistics by placing definitional formulas center stage. For each procedure, the authors provide definitional formulas (in words) and computational formulas (in numbers and symbols). This approach discourages rote memorization and helps students master the statistical analysis skills they need.

Joining longtime authors Arthur and Elaine Aron, new co-author and prolific researcher Erin Cooley brings a fresh perspective to the 7th Edition. Her contributions include new examples focusing on social inequality, her area of expertise. Hallmark features of this title

• The authors provide a concise summary of definitional formulas mathematically, verbally and visually. This helps students understand the logic behind the procedure.
• Examples of how a statistical method is reported in contemporary journal articles help students understand this key skill.
• The inclusion of the most current statistical theory and applications helps students achieve an up-to-date understanding.
• How Are You Doing exercises for each chapter serve as a checkpoint for students.
• SPSS screen shots included within the text facilitate learning.

• The correlation chapter uses the more intuitive formula for calculating correlation coefficients based on Zscores. This better helps students understand the logic of correlation coefficients.New and updated features of this title

• NEW: Co-author Erin Cooley joins authors Arthur and Elaine Aron for the 7th Edition. An Associate Professor at Colgate University and a prolific researcher, Professor Cooley contributes impactful new examples, many focusing on social inequality, her area of expertise.
• UPDATED: The text's content, examples and coverage of controversies reflect the latest information. The inclusion of more than 50 references to research articles and texts published since 2020 ensures an up-to-date learning experience.
• UPDATED: Engaging fresh topics serve as examples in the closing chapter, The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles. These include whether wanting to spend time alone is necessarily a bad thing among adolescents, how certain resilience resources can contribute to student well-being, and how the music we listen to affects us emotionally.
• UPDATED: The text's Using SPSS sections have been updated to reflect SPSS 27.

Contenu

1. Displaying the Order in a Group of Numbers Using Tables and Graphs
2. Central Tendency and Variability
3. Some Key Ingredients for Inferential Statistics
4. Introduction to Hypothesis Testing
5. Hypothesis Tests with Means of Samples
6. Making Sense of Statistical Significance
7. Introduction to t Tests
8. The t Test for Independent Means
9. Introduction to the Analysis of Variance
10. Factorial Analysis of Variance
11. Correlation
12. Prediction
13. Chi-Square Tests
14. Strategies When Population Distributions Are Not Normal

15. The General Linear Model and Making Sense of Advanced Statistical Procedures in Research ArticlesAPPENDICESTablesSteps of Hypothesis Testing for Major ProceduresFormulasAnswers to Set 1 Practice ProblemsWEB CHAPTERS (Downloadable at Student Resource Page)

16. Overview of the Logic and Language of Psychology Research
17. Applying Statistical Methods in Your Own Research Project
18. Repeated Measures Analysis of Variance
19. Integration and the General Linear Model