Psychological Methods

Papers
(The median citation count of Psychological Methods is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Relative importance analysis in multiple mediator models.603
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs346
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models231
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.203
The accuracy of reliability coefficients: A reanalysis of existing simulations.160
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.124
Multivariate analysis of covariance for heterogeneous and incomplete data.120
Correcting for collider effects and sample selection bias in psychological research.113
Supplemental Material for Subgroup Discovery in Structural Equation Models102
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.86
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect83
Bayesian regularization in multiple-indicators multiple-causes models.71
A simple recommendation for the analysis of matching data.66
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.55
Dynamic measurement invariance cutoffs for two-group fit index differences.55
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.53
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study52
Regression discontinuity designs in a latent variable framework.52
Evaluation of inequality constrained hypotheses using a generalization of the AIC.51
Subgroup discovery in structural equation models.50
Estimating time-varying treatment effects in longitudinal studies.48
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.48
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.47
Effect size guidelines for cross-lagged effects.47
Supplemental Material for Are Factor Scores Measurement Invariant?44
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.40
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.37
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.36
Supplemental Material for Assessing an Alternative for “Negative Variance Components”: A Gentle Introduction to Bayesian Covariance Structure Modeling for Negative Associations Among Patients With Per34
Supplemental Material for The Influence of Autoregressive Relation Strength and Search Strategy on Directionality Recovery in Group Iterative Multiple Model Estimation34
Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates34
Supplemental Material for Improved Confidence Intervals for Differences Between Standardized Effect Sizes33
Latent growth factors as predictors of distal outcomes.33
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models33
Improved confidence intervals for differences between standardized effect sizes.32
Causal inference for treatment effects in partially nested designs.30
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.28
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.27
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.27
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.26
Practical challenges and methodological flexibility in prior elicitation.25
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.25
Who is and is not “average”? Random effects selection with spike-and-slab priors.24
Reporting standards for psychological network analyses in cross-sectional data.24
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.24
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.24
The Bayesian reservoir model of psychological regulation.23
Reassessing the fitting propensity of factor models.23
Supplemental Material for New Computations for RMSEA and CFI Following FIML and TS Estimation With Missing Data23
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.22
So is it better than something else? Using the results of a random-effects meta-analysis to characterize the magnitude of an effect size as a percentile.22
Causal definitions versus casual estimation: Reply to Valente et al. (2022).22
Network science in psychology.22
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size22
Using natural language processing and machine learning to replace human content coders.22
Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines.21
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.21
Statistical power and optimal design for randomized controlled trials investigating mediation effects.20
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.20
Supplemental Material for Workflow Techniques for the Robust Use of Bayes Factors20
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.20
Supplemental Material for Comparing Network Structures on Three Aspects: A Permutation Test20
Supplemental Material for Model-Based Incremental Validity20
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation20
Supplemental Material for Iterated Community Detection in Psychological Networks19
Causal relationships in longitudinal observational data: An integrative modeling approach.19
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.19
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.19
Continuous-time structural equation model forests.18
What are the mathematical bounds for coefficient α?18
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.18
Evaluating avoidable heterogeneity in exploratory factor analysis results.18
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.17
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes17
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.17
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach17
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.17
Mixture multilevel vector-autoregressive modeling.17
Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations16
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores16
Power analysis to detect misfit in SEMs with many items: Resolving unrecognized problems, relating old and new approaches, and “matching” power analysis approach to data analysis approach.16
Using synthetic data to improve the reproducibility of statistical results in psychological research.15
Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling15
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error15
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox15
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.15
Are factor scores measurement invariant?15
Estimating causal effects on psychological networks using item response theory.14
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.14
Interpretable machine learning for psychological research: Opportunities and pitfalls.14
Supplemental Material for Thinking Clearly About Time-Invariant Confounders in Cross-Lagged Panel Models: A Guide for Choosing a Statistical Model From a Causal Inference Perspective14
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.14
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets14
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning14
Correcting bias in extreme groups design using a missing data approach.14
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.13
A tutorial on bayesian networks for psychopathology researchers.13
Supplemental Material for Generative Pretrained Transformer Models Can Function as Highly Reliable Second Screeners of Titles and Abstracts in Systematic Reviews: A Proof of Concept and Common Guideli13
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.13
Unidim: An index of scale homogeneity and unidimensionality.13
Tutorial: Artificial neural networks to analyze single-case experimental designs.13
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.13
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects12
How to develop, test, and extend multinomial processing tree models: A tutorial.12
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.12
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility12
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects12
Mediation analysis using Bayesian tree ensembles.12
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.11
Harnessing the power of excess statistical significance: Weighted and iterative least squares.11
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.11
Bayesian approaches to designing replication studies.10
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.10
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.10
Prior sensitivity of null hypothesis Bayesian testing.10
Coefficient of agreement between two raters corrected for category prevalence: Alternative to kappa.10
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.10
The sum of all fears: Comparing networks based on symptom sum-scores.10
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.10
Supplemental Material for Reconsideration of the Type I Error Rate for Psychological Science in the Era of Replication9
Acknowledgment of Ad Hoc Reviewers9
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors9
Supplemental Material for Factor Analyzing Ordinal Items Requires Substantive Knowledge of Response Marginals9
Supplemental Material for Coefficients of Determination Measured on the Same Scale as the Outcome: Alternatives to R2 That Use Standard Deviations Instead of Explained Variance9
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)9
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models.9
Improving inferential analyses predata and postdata.9
Local minima and factor rotations in exploratory factor analysis.9
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators9
Factorization of person response profiles to identify summative profiles carrying central response patterns.9
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models9
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.8
Supplemental Material for The Henseler-Ogasawara Specification of Composites in Structural Equation Modeling: A Tutorial8
The Bayes factor, HDI-ROPE, and frequentist equivalence tests can all be reverse engineered—Almost exactly—From one another: Reply to Linde et al. (2021).8
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.8
Supplemental Material for Testing Bipolarity8
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists8
Modeling individual differences in the timing of change onset and offset.8
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.8
Supplemental Material for Causal Relationships in Longitudinal Observational Data: An Integrative Modeling Approach8
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.7
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.7
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.7
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods7
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.7
Assessing the fitting propensity of factor models.7
Ten frequently asked questions about latent transition analysis.7
Supplemental Material for Which Estimation Method to Choose in Network Psychometrics? Deriving Guidelines for Applied Researchers7
Misspecification and unreliable interpretations in psychology and social science.7
A tutorial on assessing statistical power and determining sample size for structural equation models.7
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis7
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.6
Supplemental Material for Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice6
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.6
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.6
The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.6
A deep learning method for comparing Bayesian hierarchical models.6
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.6
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.6
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.6
Seeing the impossible: Visualizing latent variable models with flexplavaan.6
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.6
A simple Monte Carlo method for estimating power in multilevel designs.6
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models6
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.6
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.6
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.6
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.6
Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.6
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)6
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.5
Dynamic structural equation modeling with floor effects.5
A tool to simulate and visualize dyadic interaction dynamics.5
Scaling and estimation of latent growth models with categorical indicator variables.5
A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.5
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.5
Random item slope regression: An alternative measurement model that accounts for both similarities and differences in association with individual items.5
Supplemental Material for Empirical Selection of Referent Variables: Comparing Multiple-Indicator Multiple-Cause-Interaction Modeling and Moderated Nonlinear Factor Analysis5
Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach5
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.5
Testing similarity in longitudinal networks: The Individual Network Invariance Test.5
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.5
Regression with reduced rank predictor matrices: A model of trade-offs.5
Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices5
Comparing theories with the Ising model of explanatory coherence.5
Supplemental Material for Correcting Bias in Extreme Groups Design Using a Missing Data Approach5
Supplemental Material for Regularized Continuous Time Structural Equation Models: A Network Perspective5
Supplemental Material for Centering Categorical Predictors in Multilevel Models: Best Practices and Interpretation5
A causal theory of error scores.5
Supplemental Material for Unlocking Nonlinear Dynamics and Multistability From Intensive Longitudinal Data: A Novel Method5
Reconsideration of the type I error rate for psychological science in the era of replication.5
Supplemental Material for Multivariate Analysis of Covariance for Heterogeneous and Incomplete Data5
Neural text embeddings in psychological research: A guide with examples in R.5
Reliability in unidimensional ordinal data: A comparison of continuous and ordinal estimators.5
Supplemental Material for Factor Score Estimation in Multimethod Measurement Designs With Planned Missing Data5
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.4
Supplemental Material for How Do Unobserved Confounding Mediators and Measurement Error Impact Estimated Mediation Effects and Corresponding Statistical Inferences? Introducing the R Package ConMed fo4
One step at a time: A statistical approach for distinguishing mediators, confounders, and colliders using direction dependence analysis.4
Supplemental Material for Inference With Cross-Lagged Effects—Problems in Time4
Bayesian (non)linear random effects mediation models: Evaluating the impact of omitting confounders.4
Workflow techniques for the robust use of bayes factors.4
Meta-analyzing the multiverse: A peek under the hood of selective reporting.4
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.4
True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?4
Supplemental Material for Investigating the Feasibility of Idiographic Network Models4
Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).4
Learning to live with sampling variability: Expected replicability in partial correlation networks.4
How should we model the effect of “change”—Or should we?4
Evaluating multinomial order restrictions with bridge sampling.4
How to conduct an integrative mixed methods meta-analysis: A tutorial for the systematic review of quantitative and qualitative evidence.4
Missing data in experiments: Challenges and solutions.4
Improving the probability of reaching correct conclusions about congruence hypotheses: Integrating statistical equivalence testing into response surface analysis.4
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.4
Supplemental Material for Dynamic Factor Analysis With Multivariate Time Series of Multiple Individuals: An Error-Corrected Estimation Method4
Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizes.4
Data-driven covariate selection for confounding adjustment by focusing on the stability of the effect estimator.4
Spurious inference in consensus emergence modeling due to the distinguishability problem.4
Testing informative hypotheses in factor analysis models using bayes factors.4
Supplemental Material for A Sensitivity Analysis for Temporal Bias in Cross-Sectional Mediation4
Correcting for the multiplicative and additive effects of measurement unreliability in meta-analysis of correlations.4
Causal inference with binary treatments from randomization versus binary treatments from categorization.3
Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.3
Supplemental Material for A Factored Regression Model for Composite Scores With Item-Level Missing Data3
Supplemental Material for One Step at a Time: A Statistical Approach for Distinguishing Mediators, Confounders, and Colliders Using Direction Dependence Analysis3
Supplemental Material for Better Power by Design: Permuted-Subblock Randomization Boosts Power in Repeated-Measures Experiments3
Regularized continuous time structural equation models: A network perspective.3
Supplemental Material for Two-Stage Path Analysis With Definition Variables: An Alternative Framework to Account for Measurement Error3
Supplemental Material for Experiments in Daily Life: When Causal Within-Person Effects Do (Not) Translate Into Between-Person Differences3
New measures of effect size in moderation analysis.3
Bayes factors for logistic (mixed-effect) models.3
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of p3
Daily dynamics and weekly rhythms: A tutorial on seasonal autoregressive–moving average models combined with day-of-the-week effects.3
Supplemental Material for Applying Multivariate Generalizability Theory to Psychological Assessments3
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?3
Supplemental Material for The Text-Package: An R-Package for Analyzing and Visualizing Human Language Using Natural Language Processing and Transformers3
A systematic review of and reflection on the applications of factor mixture modeling.3
Supplemental Material for Correcting Bias in the Meta-Analysis of Correlations3
Interim design analysis using Bayes factor forecasts.3
Addressing heterogeneous populations in latent variable settings through robust estimation.3
Supplemental Material for Mixture Multilevel Vector-Autoregressive Modeling3
Supplemental Material for Improving Hierarchical Models of Individual Differences: An Extension of Goldberg’s Bass-Ackward Method3
The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs.3
Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.3
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.3
Sample size planning for replication studies: The devil is in the design.3
Supplemental Material for Demystifying Omega Squared: Practical Guidance for Effect Size in Common Analysis of Variance Designs2
Embrace the heterogeneity in exploratory factor analysis but be transparent about what you do—A commentary on Manapat et al. (2023).2
A peculiarity in psychological measurement practices.2
Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.2
Supplemental Material for Moving From Exploratory to Confirmatory Network Analysis: An Evaluation of Structural Equation Modeling Fit Indices and Cutoff Values in Network Psychometrics2
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