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.