Quantitative Research in Psychology

Jeremy Miles, RAND Corporation, USA.

VOLUME ONE: STATISTICAL HYPOTHESIS TESTING AND POWER What Is Statistical Significance? - Ralph Tyler Bayesian Statistical Inference for Psychological Research - Ward Edwards, Harold Lindman and Leonard Savage Statistical Difficulties of Detecting Interactions and Moderator Effects - Gary McClelland and Charles Judd The Earth Is Round (p < 0.05) - Jacob Cohen Power Analysis and Determination of Sample Size for Covariance Structure Modeling - Robert MacCallum, Michael Browne and Hazuki Sugawara Computing Contrasts, Effect Sizes, and Counternulls on Other People's Published Data: General Procedures for Research Consumers - Ralph Rosnow and Robert Rosenthal Statistical Significance Testing and Cumulative Knowledge in Psychology: Implications for the Training of Researchers - Frank Schmidt The Appropriate Use of Null Hypothesis Significance Testing - Robert Frick Controlling the Rate of Type I Error over a Large Set of Statistical Tests - H.J. Keselman, Robert Cribbie and Burt Holland Hypothesis Testing and Theory Evaluation at the Boundaries: Surprising Insights from Bayes's Theorem - David Trafimow Mindless Statistics - Gerd Gigerenzer An Alternative to Null-Hypothesis Significance Tests - Peter Killeen False-Positive Psychology Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant - Joseph Simmons, Leif Nelson and Uri Simonsohn VOLUME TWO: MEASUREMENT The Proof and Measurement of Association between Two Things - C. Spearman A Method of Scaling Psychological and Educational Tests - Louis Thurstone Multiple Factor Analysis - Louis Thurstone Coefficient Alpha and the Internal Structure of Tests - Lee Cronbach The Relation of Test Score to the Trait Underlying the Test - Frederic Lord Construct Validity in Psychological Tests - L. Cronbach and P. Meehl Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix - Donald Campbell and Donald Fiske The Axioms and Principal Results of Classical Test Theory - Melvin Novick A General Approach to Confirmatory Maximum Likelihood Factor Analysis - K. Joereskog Intraclass Correlations: Uses in Assessing Rater Reliability - Patrick Shrout and Joseph Fleiss Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm - R. Darrell Bock and Murray Aitkin A Taxonomy of Item Response Models - David Thissen and Lynne Steinberg The New Rules of Measurement - Susan Embretson The Concept of Validity - Denny Borsboom, Gideon Mellenbergh and Jaap van Heerden On the Use, the Misuse, and the Very Limited Usefulness of Cronbach's Alpha - Klaas Sijtsma A Two-Tier Full-Information Item Factor Analysis Model with Applications - Li Cai VOLUME THREE: RESEARCH DESIGN AND SAMPLING Statistical Power of Abnormal-Social Psychological-Research - A Review - Jacob Cohen Do Studies of Statistical Power Have an Effect on the Power of Studies? - Peter Sedlmeier and Gerd Gigerenzer A Power Primer - Jacob Cohen Optimal Design in Psychological Research - Gary McClelland Statistical Analysis and Optimal Design for Cluster Randomized Trials - Stephen Raudenbush Analysis of a Trial Randomised in Clusters - Sally Kerry and J. Martin Bland The Design and Analysis of Longitudinal Studies of Development and Psychopathology in Context: Statistical Models and Methodological Recommendations - John Willett, Judith Singer and Nina Martin Missing Data: Our View of the State of the Art - Joseph Schafer and John Graham Propensity Score Estimation with Boosted Regression for Evaluating Causal Effects in Observational Studies - Daniel McCaffrey, Greg Ridgeway and Andrew Morral The Persistence of Underpowered Studies in Psychological Research: Causes, Consequences, and Remedies - Scott Maxwell VOLUME FOUR: STATISTICAL TESTS The Scree Test for the Number of Factors - Raymond Cattell Graphs in Statistical Analysis - F.J. Anscombe Primary, Secondary, and Meta-Analysis of Research - Gene Glass The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic and Statistical Considerations - Reuben Baron and David Kenny Thirteen Ways to Look at the Correlation Coefficient - Joseph Lee Rodgers and Alan Nicewander Why Covariance: A Rationale for Using Analysis of Covariance Procedures in Randomised Studies - Matthew Taylor and Mark Innocenti Factor Analysis in the Development and Refinement of Clinical Assessment Instruments - Frank Floyd and Keith Widaman Fixed-and Random-Effects Models in Meta-Analysis - Larry Hedges and Jack Vevea How Many Discoveries Have Been Lost by Ignoring Modern Statistical Methods? - Rand Wilcox A Comparison of Methods to Test Mediation and Other Intervening Variable Effects - David MacKinnon et al. Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical Techniques - Daniel Bauer and Patrick Curran Discrete Time Survival Mixture Analysis - Bengt Muthen and Katherine Masyn A Better Lemon Squeezer? Maximum-Likelihood Regression with Beta-Distributed Dependent Variables - Michael Smithson and Jay Verkuilen Average Causal Effects from Nonrandomized Studies - Joseph Schafer and Joseph Kang VOLUME FIVE: COMPLEX MODELS Significance Tests and Goodness of Fit in the Analysis of Covariance Structures - P. Bentler and Douglas Bonett The Dimensionality of Tests and Items - Roderick McDonald Asymptotically Distribution-Free Methods for the Analysis of Covariance Structures - M. Browne Model Selection and Akaike's Information Criterion (AIC): The General Theory and Its Analytical Extensions - Hamparsum Bozdogan Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach - James Anderson and David Gerbing Comparative Fit Indexes in Structural Models - P. Bentler Model Selection in Covariance Structures Analysis and the "Problem" of Sample Size: A Clarification - Robert Cudeck and Susan Henly Bootstrapping Goodness-of-Fit Measures in Structural Equation Models - Kenneth Bollen and Robert Stine Modeling Incomplete Longitudinal and Cross-Sectional Data Using Latent Growth Structural Models - J. McArdle and Fumiaki Hamagami Growth Curve Analysis in Accelerated Longitudinal Designs - Stephen Raudenbush and Wing-Shing Chan Distinguishing between Moderator and Quadratic Effects in Multiple Regression - Robert MacCallum and Corinne Mar The Robustness of Test Statistics to Nonnormality and Specification Error in Confirmatory Factor Analysis - Patrick Curran, Stephen West and John Finch Cutoff Criteria for Fit Indices in Covariance Structure Analysis: Conventional Criteria versus New Alternatives - Li-tze Hu and Peter Bentler On Sensitivity of Structural Equation Modeling to Latent Relation Misspecifications - Tenko Raykov To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits - Todd Little et al. Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes - Daniel Bauer and Patrick Curran Autoregressive Latent Trajectory (ALT) Models: A Synthesis of Two Traditions - Keneth Bollen and Patrick Curran In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings - Herbert Marsh, Kit-Tai Hau and Zhonglin Wen Sufficient Sample Sizes for Multilevel Modeling - Cora Maas and Joop Hox An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models - Feinian Chen et al.