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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
Daniel L. Oberski, Geert van Kollenburg, Jeroen K. Vermunt
Advances in Data Analysis and Classification (2013) Vol. 7, Iss. 3, pp. 267-279
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls
Pratik Sinha, Carolyn S. Calfee, Kevin Delucchi
Critical Care Medicine (2020) Vol. 49, Iss. 1, pp. e63-e79
Open Access | Times Cited: 527
Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1
Jeroen K. Vermunt, Jay Magidson
(2016)
Closed Access | Times Cited: 410
Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes
M.J. Alonso González, Sascha Hoogendoorn-Lanser, Niels van Oort, et al.
Transportation Research Part A Policy and Practice (2019) Vol. 132, pp. 378-401
Open Access | Times Cited: 212
Segmenting multichannel consumers across search, purchase and after-sales
Sean Sands, Carla Ferraro, Colin Campbell, et al.
Journal of Retailing and Consumer Services (2016) Vol. 33, pp. 62-71
Closed Access | Times Cited: 102
Residual Associations in Latent Class and Latent Transition Analysis
Tihomir Asparouhov, Bengt Muthén
Structural Equation Modeling A Multidisciplinary Journal (2014) Vol. 22, Iss. 2, pp. 169-177
Closed Access | Times Cited: 93
How to Perform Three-Step Latent Class Analysis in the Presence of Measurement Non-Invariance or Differential Item Functioning
Jeroen K. Vermunt, Jay Magidson
Structural Equation Modeling A Multidisciplinary Journal (2020) Vol. 28, Iss. 3, pp. 356-364
Open Access | Times Cited: 65
Patterns of polysubstance use and simultaneous co-use in high risk young adults
Allen J. Bailey, Eli Farmer, Peter R. Finn
Drug and Alcohol Dependence (2019) Vol. 205, pp. 107656-107656
Open Access | Times Cited: 50
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
Daniel L. Oberski
Advances in Data Analysis and Classification (2015) Vol. 10, Iss. 2, pp. 171-182
Open Access | Times Cited: 47
Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models
Daniel L. Oberski, Antje Kirchner, Stephanie Eckman, et al.
Journal of the American Statistical Association (2017) Vol. 112, Iss. 520, pp. 1477-1489
Open Access | Times Cited: 45
A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models
Marieke Visser, Sarah Depaoli
Structural Equation Modeling A Multidisciplinary Journal (2022) Vol. 29, Iss. 6, pp. 971-982
Closed Access | Times Cited: 20
Helicopter Parenting Is Unrelated to Student Success and Well-Being: A Latent Profile Analysis of Perceived Parenting and Academic Motivation During the Transition to University
Howard E. Barbaree, Sean Alexander, Leigh Dunn
Emerging Adulthood (2020) Vol. 10, Iss. 1, pp. 197-211
Closed Access | Times Cited: 29
Evidence That Growth Mixture Model Results Are Highly Sensitive to Scoring Decisions
James Soland, Veronica T. Cole, Stephen Tavares, et al.
Multivariate Behavioral Research (2025), pp. 1-22
Open Access
Perfectionistic strivings and conscientiousness as differential predictors of goal setting (in)flexibility in real-life situations: A mixture latent Markov approach
Tanja Lischetzke, Gloria Grommisch, Elisabeth Prestele, et al.
Journal of Research in Personality (2025), pp. 104587-104587
Closed Access
Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach
Leonie V. D. E. Vogelsmeier, Jeroen K. Vermunt, Anne Bülow, et al.
Multivariate Behavioral Research (2021) Vol. 58, Iss. 2, pp. 262-291
Open Access | Times Cited: 19
Assessing Model Fit in Latent Class Analysis When Asymptotics Do Not Hold
Geert van Kollenburg, Joris Mulder, Jeroen K. Vermunt
Methodology (2015) Vol. 11, Iss. 2, pp. 65-79
Open Access | Times Cited: 24
Developing a Cross-National Comparative Framework for Studying Labour Market Segmentation: Measurement Equivalence with Latent Class Analysis
Martin Lukac, Nadja Doerflinger, Valeria Pulignano
Social Indicators Research (2019) Vol. 145, Iss. 1, pp. 233-255
Closed Access | Times Cited: 21
Gender Ideology in Europe: Plotting Normative Types in a Multidimensional Space
Maike van Damme, Dimitris Pavlopoulos
Social Indicators Research (2022) Vol. 164, Iss. 2, pp. 861-891
Open Access | Times Cited: 12
Mostly Harmless Direct Effects: A Comparison of Different Latent Markov Modeling Approaches
Roberto Di Mari, Zsuzsa Bakk
Structural Equation Modeling A Multidisciplinary Journal (2017) Vol. 25, Iss. 3, pp. 467-483
Open Access | Times Cited: 21
Detecting Conditional Dependence Using Flexible Bayesian Latent Class Analysis
Jaehoon Lee, Kwanghee Jung, Jungkyu Park
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 17
The Detection and Modeling of Direct Effects in Latent Class Analysis
Jeroen H. M. Janssen, Saskia van Laar, Mark de Rooij, et al.
Structural Equation Modeling A Multidisciplinary Journal (2018) Vol. 26, Iss. 2, pp. 280-290
Open Access | Times Cited: 17
A typology of supervision in child welfare: Multilevel latent class and confirmatory analyses of caseworker–supervisor relationship type
Andrew Zinn
Children and Youth Services Review (2014) Vol. 48, pp. 98-110
Closed Access | Times Cited: 14
Goodness-of-fit of Multilevel Latent Class Models for Categorical Data
Erwin Nagelkerke, Daniel L. Oberski, Jeroen K. Vermunt
Sociological Methodology (2015) Vol. 46, Iss. 1, pp. 252-282
Closed Access | Times Cited: 14
Building Latent Class Trees, With an Application to a Study of Social Capital
Mattis van den Bergh, Verena D. Schmittmann, Jeroen K. Vermunt
Methodology (2017) Vol. 13, Iss. Supplement 1, pp. 13-22
Open Access | Times Cited: 14
On Lagrange Multiplier Tests in Multidimensional Item Response Theory: Information Matrices and Model Misspecification
Carl F. Falk, Scott Monroe
Educational and Psychological Measurement (2017) Vol. 78, Iss. 4, pp. 653-678
Open Access | Times Cited: 14
Power and Type I Error of Local Fit Statistics in Multilevel Latent Class Analysis
Erwin Nagelkerke, Daniel L. Oberski, Jeroen K. Vermunt
Structural Equation Modeling A Multidisciplinary Journal (2016) Vol. 24, Iss. 2, pp. 216-229
Open Access | Times Cited: 11
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