Psychological Methods

Article	Citations
Comparing network structures on three aspects: A permutation test.	332
Effect size guidelines for cross-lagged effects.	193
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.	166
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.	153
Reporting standards for psychological network analyses in cross-sectional data.	140
Dynamic fit index cutoffs for confirmatory factor analysis models.	129
Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.	118
Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers.	102
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn.	101
Toward a principled Bayesian workflow in cognitive science.	83
A tutorial on assessing statistical power and determining sample size for structural equation models.	68
Composite reliability of multilevel data: It’s about observed scores and construct meanings.	61
A tutorial on bayesian networks for psychopathology researchers.	60
Ten frequently asked questions about latent transition analysis.	59
Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.	57
Centering categorical predictors in multilevel models: Best practices and interpretation.	49
What is a Bayes factor?	48
Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.	46
Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.	46
Modeling psychopathology: From data models to formal theories.	44
Measurement invariance testing using confirmatory factor analysis and alignment optimization: A tutorial for transparent analysis planning and reporting.	42
Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.	40
Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.	39
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.	39
The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.	37

Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations.	37
Using anticlustering to partition data sets into equivalent parts.	37
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	33
Workflow techniques for the robust use of bayes factors.	31
Partitioning variation in multilevel models for count data.	31
A structural after measurement approach to structural equation modeling.	30
Investigating the feasibility of idiographic network models.	30
One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.	30
Missing data: An update on the state of the art.	27
The measurement of the mediator and its influence on statistical mediation conclusions.	27
Flexplot: Graphically-based data analysis.	26
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.	26
Latent transition analysis with random intercepts (RI-LTA).	26
Routinely randomize potential sources of measurement reactivity to estimate and adjust for biases in subjective reports.	25
A tutorial on regression-based norming of psychological tests with GAMLSS.	25
A general Monte Carlo method for sample size analysis in the context of network models.	25
The dire disregard of measurement invariance testing in psychological science.	23
Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.	22
Refining the causal loop diagram: A tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling.	22
Avoiding bias from sum scores in growth estimates: An examination of IRT-based approaches to scoring longitudinal survey responses.	22
Deep learning: A primer for psychologists.	21
A bifactor approach to subscore assessment.	21
Beneath the surface: Unearthing within-person variability and mean relations with Bayesian mixed models.	20
The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial.	20
Equivalent approaches to dealing with unobserved heterogeneity in cross-lagged panel models? Investigating the benefits and drawbacks of the latent curve model with structured residuals and the random	20
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.	19
The meaning of scientific objectivity and subjectivity: From the perspective of methodologists.	19
Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and Cambridge gambling tasks.	18
New measures of effect size in moderation analysis.	17
Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.	17
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	17
Missing data in experiments: Challenges and solutions.	16
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.	16
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.	16
Out of bounds? The boundary specification problem for centrality in psychological networks.	16
Psychometric and machine learning approaches for diagnostic assessment and tests of individual classification.	16
We need to change how we compute RMSEA for nested model comparisons in structural equation modeling.	16
A constrained factor mixture analysis model for consistent and inconsistent respondents to mixed-worded scales.	16
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.	15
A causal theory of error scores.	15
Interrelationships between latent state-trait theory and generalizability theory within a structural equation modeling framework.	15
The within-between dispute in cross-lagged panel research and how to move forward.	15
Cubic response surface analysis: Investigating asymmetric and level-dependent congruence effects with third-order polynomial models.	15
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.	14
A review of applications of the Bayes factor in psychological research.	14
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.	13
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of psychopathology.	13
Troubleshooting Bayesian cognitive models.	13
Reconsidering statistical methods for assessing replication.	13
Local minima and factor rotations in exploratory factor analysis.	13

Some researchers wear yellow pants, but even fewer participants read consent forms: Exploring and improving consent form reading in human subjects research.	13
A partially confirmatory approach to scale development with the Bayesian Lasso.	13
Sample size planning for replication studies: The devil is in the design.	13
Subtypes of the missing not at random missing data mechanism.	12
Practical challenges and methodological flexibility in prior elicitation.	12
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).	12
A tutorial on the meta-analytic structural equation modeling of reliability coefficients.	12
Dimensionality assessment in bifactor structures with multiple general factors: A network psychometrics approach.	12
The impact of measurement error and omitting confounders on statistical inference of mediation effects and tools for sensitivity analysis.	12
Parsimony in model selection: Tools for assessing fit propensity.	11
Alleviating estimation problems in small sample structural equation modeling—A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches.	11
Two-stage path analysis with definition variables: An alternative framework to account for measurement error.	11
Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.	11
How to develop, test, and extend multinomial processing tree models: A tutorial.	11
Using synthetic data to improve the reproducibility of statistical results in psychological research.	11
Using structural equation modeling to study traits and states in intensive longitudinal data.	10
Distributionally weighted least squares in structural equation modeling.	10
The accuracy of reliability coefficients: A reanalysis of existing simulations.	10
Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators.	10
Reliable network inference from unreliable data: A tutorial on latent network modeling using STRAND.	10
An introduction to model implied instrumental variables using two stage least squares (MIIV-2SLS) in structural equation models (SEMs).	10
How much bias results if a quasi-experimental design combines local comparison groups, a pretest outcome measure and other covariates?: A within study comparison of preschool effects.	10
Simulation-based sensitivity analysis for causal mediation studies.	10
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	10
A flexible moderated factor analysis approach to test for measurement invariance across a continuous variable.	10
Monte Carlo simulations using extant data to mimic populations: Applications to the modified linear probability model and logistic regression.	9
Heywood you go away! Examining causes, effects, and treatments for Heywood cases in exploratory factor analysis.	9
Deductive data mining.	9
Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods.	9
A structural equation modeling approach for modeling variability as a latent variable.	9
A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics.	9
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	9
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	9
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.	9
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	9
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	9
Factor analyzing ordinal items requires substantive knowledge of response marginals.	8
Ubiquitous bias and false discovery due to model misspecification in analysis of statistical interactions: The role of the outcome’s distribution and metric properties.	8
Demystifying omega squared: Practical guidance for effect size in common analysis of variance designs.	8
Applying multivariate generalizability theory to psychological assessments.	8
Using social network analysis in applied psychological research: A tutorial.	8
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.	8
Interrater reliability for multilevel data: A generalizability theory approach.	8
Using natural language processing and machine learning to replace human content coders.	8
Meta-analyzing the multiverse: A peek under the hood of selective reporting.	8
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	7
A multidimensional zero-inflated graded response model for ordinal symptom data.	7
Bayesian modeling of associations in bivariate piecewise linear mixed-effects models.	7
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.	7
How to think clearly about the central limit theorem.	7
Assessing the fitting propensity of factor models.	7
Misspecification and unreliable interpretations in psychology and social science.	7
Regression discontinuity designs in a latent variable framework.	7
Perspectives on Bayesian inference and their implications for data analysis.	7
The partial derivative framework for substantive regression effects.	7
Model-based incremental validity.	7
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	7
Causal mediation effects in single case experimental designs.	7
The search for causality: A comparison of different techniques for causal inference graphs.	7
Reliability and omega hierarchical in multidimensional data: A comparison of various estimators.	7
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	7
Estimating both directed and undirected contemporaneous relations in time series data using hybrid-group iterative multiple model estimation.	6
Interpretable machine learning for psychological research: Opportunities and pitfalls.	6
Meta-analytic criterion profile analysis.	6
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	6
Bayesian approaches to designing replication studies.	6
Comparing estimation methods for psychometric networks with ordinal data.	6
Intermittent faking of personality profiles in high-stakes assessments: A grade of membership analysis.	6
Estimating social influence in a social network using potential outcomes.	6
Sample size calculation and optimal design for regression-based norming of tests and questionnaires.	6
Evaluation of inequality constrained hypotheses using a generalization of the AIC.	6
Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.	6
Why overfitting is not (usually) a problem in partial correlation networks.	6
Regularized structural equation modeling with stability selection.	6
Reciprocal relations in categorical variables.	6
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	6
Nonconvergence, covariance constraints, and class enumeration in growth mixture models.	5
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	5
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	5
The sum of all fears: Comparing networks based on symptom sum-scores.	5

Compositional data analysis tutorial.	5
New computations for RMSEA and CFI following FIML and TS estimation with missing data.	5
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.	5
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?	5
Is replication possible without fidelity?	5
Estimating time-varying treatment effects in longitudinal studies.	5
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	5
Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.	5
Bayesian estimation and model selection in group-based trajectory models.	5
A regularization method for linking brain and behavior.	5
A tutorial on Bollen and Brand’s approach to modeling dynamics while attending to dynamic panel bias.	5
Situation strength as a basis for interactions in psychological models.	5
A tutorial on the analysis of experiments using BANOVA.	5
Intensive longitudinal mediation in Mplus.	5
Data-driven covariate selection for confounding adjustment by focusing on the stability of the effect estimator.	4
Aberrant distortion of variance components in multilevel models under conflation of level-specific effects.	4
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	4
Evaluating avoidable heterogeneity in exploratory factor analysis results.	4
Model specification for nonlinearity and heterogeneity of regression in randomized pretest posttest studies: Practical solutions for missing data.	4
Error tight: Exercises for lab groups to prevent research mistakes.	4
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.	4
Using prior information to plan appropriately powered regression studies: A tutorial using BUCSS.	4
Improving the efficiency of surveys with randomized response models: A sequential approach based on curtailed sampling.	4
Seeing the impossible: Visualizing latent variable models with flexplavaan.	4
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	4
Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.	4
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	4
Assessing an alternative for “negative variance components”: A gentle introduction to Bayesian covariance structure modeling for negative associations among patients with personalized treatments.	4
Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.	4
Improving content validity evaluation of assessment instruments through formal content validity analysis.	4
A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity models.	4
A primer on sampling rates of ambulatory assessments.	4
Regularized continuous time structural equation models: A network perspective.	4
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	4
Distributional causal effects: Beyond an “averagarian” view of intervention effects.	3
A modified approach to fitting relative importance networks.	3
Evaluating multinomial order restrictions with bridge sampling.	3
Towards an encompassing theory of network models: Reply to Brusco, Steinley, Hoffman, Davis-Stober, and Wasserman (2019).	3
Measures of metacognitive efficiency across cognitive models of decision confidence.	3
Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations	3
Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.	3
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	3
Multilevel modeling in single-case studies with count and proportion data: A demonstration and evaluation.	3
Determining the number of factors using parallel analysis and its recent variants: Comment on Lim and Jahng (2019).	3
One-tailed tests: Let’s do this (responsibly).	3
Comparing theories with the Ising model of explanatory coherence.	3
Random item slope regression: An alternative measurement model that accounts for both similarities and differences in association with individual items.	3
Informing VAR(1) with qualitative dynamical features improves predictive accuracy.	3
Comparing revised latent state–trait models including autoregressive effects.	3
Meta-analysis of correlation coefficients: A cautionary tale on treating measurement error.	3
Selecting scaling indicators in structural equation models (sems).	3
Methods for estimating the sampling variance of the standardized mean difference.	3
Space-time modeling of intensive binary time series eye-tracking data using a generalized additive logistic regression model.	3
Evaluating classification performance: Receiver operating characteristic and expected utility.	3
Scoring assessments in multisite randomized control trials: Examining the sensitivity of treatment effect estimates to measurement choices.	3
A simple Monte Carlo method for estimating power in multilevel designs.	3
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	3
Modeling individual differences in the timing of change onset and offset.	2
Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.	2
Pooling methods for likelihood ratio tests in multiply imputed data sets.	2
Tutorial: Artificial neural networks to analyze single-case experimental designs.	2
A systematic review of and reflection on the applications of factor mixture modeling.	2
Mediation analysis using Bayesian tree ensembles.	2
Tangle: A metric for quantifying complexity and erratic behavior in short time series.	2
Linear equality constraints: Reformulations of criterion related profile analysis with extensions to moderated regression for multiple groups.	2
An introductory guide for conducting psychological research with big data.	2
Mixture multilevel vector-autoregressive modeling.	2
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.	2
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	2
Improved confidence intervals for differences between standardized effect sizes.	2
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	2
Causal effect analysis in nonrandomized data with latent variables and categorical indicators: The implementation and benefits of EffectLiteR.	2
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.	2
Learning to live with sampling variability: Expected replicability in partial correlation networks.	2
Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.	2
Multiplicity in multiple regression: Defining the issue, evaluating solutions, and integrating perspectives.	2
Subgroup discovery in structural equation models.	2
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	2
Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates.	2
Efficient alternatives for Bayesian hypothesis tests in psychology.	2
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	2
Correspondence measures for assessing replication success.	2
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	2
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	2
To detrend, or not to detrend, that is the question? The effects of detrending on cross-lagged effects in panel models.	2
Does every study? Implementing ordinal constraint in meta-analysis.	2
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.	2
Comparing methods for assessing a difference in correlations with dependent groups, measurement error, nonnormality, and incomplete data.	2
On the white, the black, and the many shades of gray in between: Our reply to Van Ravenzwaaij and Wagenmakers (2021).	2
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	2
A simple, general, and efficient method for sequential hypothesis testing: The independent segments procedure.	2
A systematic framework for defining R-squared measures in mediation analysis.	2
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	2
Cognitive and cultural models in psychological science: A tutorial on modeling free-list data as a dependent variable in Bayesian regression.	2
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.	2