Research Methods in Psychology 5th Edition By Beth Morling
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Research Methods in Psychology 5th Edition By Beth Morling

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909
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About this ebook
Research Methods in Psychology: Evaluating a World of Information (5th Edition) by Beth Morling is structured into six core parts, 14 chapters, and three new supplemental chapters. The framework focuses on training students to be both consumers and producers of psychological research. It evaluates scientific data based on three types of claims and four types of validities. [1, 2]
The complete list of parts, chapters, and topics covered in the 5th Edition includes:
Part 1: Introduction to Scientific Reasoning (Chapters 1–3) [1]
  • Chapter 1: Covers the scientist-practitioner model, the theory-data cycle, and new 5th edition updates regarding participant sample diversity and qualitative methods. [1, 2, 3, 4]
  • Chapter 2: Explores the flaws of personal experience and intuition alongside strategies for finding and reading empirical literature. [1]
  • Chapter 3: Introduces variable definitions, the three scientific claims (frequency, association, and causal), and the four validities framework. [1]
Part 2: Research Foundations for Any Claim (Chapters 4–5) [1]
  • Chapter 4: Focuses on ethical guidelines, historical violations, the Belmont Report, and updated 5th edition Canadian/American code comparisons and nonhuman animal research guidelines.
  • Chapter 5: Details measurement scales, reliability metrics (such as Cronbach's alpha), and validity types. [1, 2]
Part 3: Tools for Evaluating Frequency Claims (Chapters 6–7) [1]
  • Chapter 6: Examines survey/poll construction, response shortcuts, observational designs, and qualitative data collection.
  • Chapter 7: Explores population-to-sample relationships, probability sampling, and nonprobability sampling techniques. [1, 2]
Part 4: Tools for Evaluating Association Claims (Chapters 8–9) [1]
  • Chapter 8: Interrogates bivariate correlations, statistical features, and updated effect size framing.
  • Chapter 9: Covers longitudinal designs, multiple regression, mediation, and moderation. [, 2]
Part 5: Tools for Evaluating Causal Claims (Chapters 10–12) [1]
  • Chapter 10: Introduces simple experiments, independent/dependent variables, and independent- vs. within-groups designs.
  • Chapter 11: Addresses internal validity threats (the "Dirty Dozen") and obscuring null effects.
  • Chapter 12: Explains factorial designs, main effects, and interaction interpretations. [1]
Part 6: Balancing Research Priorities (Chapters 13–14) [1]
  • Chapter 13: Reviews quasi-experimental designs and small-\(N\) clinical/behavioral approaches.
  • Chapter 14: Explores replication crises, open science movements, meta-analyses, and sample diversity. [1, 2]
Supplemental Chapters (S1–S3) [1]
  • Chapter S1: Reviews descriptive statistics.
  • Chapter S2: Balances Null Hypothesis Significance Testing with confidence intervals and exact effect sizes.
  • Chapter S3: Covers ethical bounds and proper citations for Generative AI tools in research writing. [1, 2, 4]

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Topics

Balancing Research Priorities ethical bounds and proper citations for Generative AI tools in research writing. ethical guidelines historical violations the Belmont Report internal validity threats (the "Dirty Dozen") and obscuring null effects Introduction to Scientific Reasoning measurement scales reliability metrics (such as Cronbach's alpha) Null Hypothesis Significance Testing with confidence intervals and exact effect sizes population-to-sample relationships probability sampling quasi-experimental designs and small-\(N\) clinical/behavioral approaches Research Foundations for Any Claim survey/poll construction response shortcuts the scientist-practitioner model the theory-data cycle the three scientific claims (frequency association and causal) Tools for Evaluating Association Claims Tools for Evaluating Causal Claims Tools for Evaluating Frequency Claims
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