Psychological Methods

Papers
(The TQCC of Psychological Methods is 6. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
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
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.39
Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.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
A general Monte Carlo method for sample size analysis in the context of network models.25
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
The dire disregard of measurement invariance testing in psychological science.23
Avoiding bias from sum scores in growth estimates: An examination of IRT-based approaches to scoring longitudinal survey responses.22
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
A bifactor approach to subscore assessment.21
Deep learning: A primer for psychologists.21
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 random20
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
The meaning of scientific objectivity and subjectivity: From the perspective of methodologists.19
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.19
Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and Cambridge gambling tasks.18
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.17
New measures of effect size in moderation analysis.17
Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.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
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
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
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
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
Using synthetic data to improve the reproducibility of statistical results in psychological research.11
How to develop, test, and extend multinomial processing tree models: A tutorial.11
Parsimony in model selection: Tools for assessing fit propensity.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
Alleviating estimation problems in small sample structural equation modeling—A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches.11
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
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
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
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 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
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
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
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
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
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
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