IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v41y2016i2p226-233.html
   My bibliography  Save this article

A Review of Latent Variable Modeling With R

Author

Listed:
  • Daniel L. Oberski

    (Department of Methodology & Statistics Tilburg University, The Netherlands)

Abstract

No abstract is available for this item.

Suggested Citation

  • Daniel L. Oberski, 2016. "A Review of Latent Variable Modeling With R," Journal of Educational and Behavioral Statistics, , vol. 41(2), pages 226-233, April.
    • Handle: RePEc:sae:jedbes:v:41:y:2016:i:2:p:226-233
    DOI: 10.3102/1076998615621305
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/1076998615621305
    Download Restriction: no
    File URL: https://libkey.io/10.3102/1076998615621305?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
    2. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    3. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
    4. Andrews, Donald W K, 2001. "Testing When a Parameter Is on the Boundary of the Maintained Hypothesis," Econometrica, Econometric Society, vol. 69(3), pages 683-734, May.
    5. Rizopoulos, Dimitris, 2006. "ltm: An R Package for Latent Variable Modeling and Item Response Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i05).
    6. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    7. Mazza, Angelo & Punzo, Antonio & McGuire, Brian, 2014. "KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i06).
    8. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Terrence D. Jorgensen & Suzanne Jak, 2020. "Review of Gana & Broc’s Structural Equation Modeling with lavaan," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 373-377, June.
    2. Valerio Ghezzi & Valeria Ciampa & Tahira M. Probst & Laura Petitta & Ivan Marzocchi & Ilaria Olivo & Claudio Barbaranelli, 2022. "Integrated Patterns of Subjective Job Insecurity: A Multigroup Person-Centered Study," IJERPH, MDPI, vol. 19(20), pages 1-20, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francisco José Eiroa-Orosa & Laura Limiñana-Bravo, 2019. "An Instrument to Measure Mental Health Professionals’ Beliefs and Attitudes towards Service Users’ Rights," IJERPH, MDPI, vol. 16(2), pages 1-16, January.
    2. T. W. G. Meer & E. Ouattara, 2019. "Putting ‘political’ back in political trust: an IRT test of the unidimensionality and cross-national equivalence of political trust measures," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 2983-3002, November.
    3. Carlos Miguel Lemos & Ross Joseph Gore & Ivan Puga-Gonzalez & F LeRon Shults, 2019. "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-36, May.
    4. Cervantes, Víctor H., 2017. "DFIT: An R Package for Raju's Differential Functioning of Items and Tests Framework," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i05).
    5. Jenna Hicks & Jessica Dewey & Yaniv Brandvain & Anita Schuchardt, 2020. "Development of the Biological Variation In Experimental Design And Analysis (BioVEDA) assessment," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    6. Piotr Koc, 2021. "Measuring Non-electoral Political Participation: Bi-factor Model as a Tool to Extract Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 271-287, July.
    7. Jochen Ranger & Kay Brauer, 2022. "On the Generalized S − X 2 –Test of Item Fit: Some Variants, Residuals, and a Graphical Visualization," Journal of Educational and Behavioral Statistics, , vol. 47(2), pages 202-230, April.
    8. Braun, Erik & Zenker, Sebastian, 2022. "In governments we trust: A two-country Brexit field experiment on perceived uncertainty as mediator for consumer decisions," Journal of Business Research, Elsevier, vol. 138(C), pages 335-346.
    9. Claudia Marino & C. M. Hirst & C. Murray & A. Vieno & Marcantonio M. Spada, 2018. "Positive Mental Health as a Predictor of Problematic Internet and Facebook Use in Adolescents and Young Adults," Journal of Happiness Studies, Springer, vol. 19(7), pages 2009-2022, October.
    10. Tormod Bøe & Mari Hysing & Jens Christoffer Skogen & Kyrre Breivik, 2016. "The Strengths and Difficulties Questionnaire (SDQ): Factor Structure and Gender Equivalence in Norwegian Adolescents," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-15, May.
    11. André Pirralha & Wiebke Weber, 2020. "Correction for measurement error in invariance testing: An illustration using SQP," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    12. Yaël Drunen & Bram Spruyt & Filip Droogenbroeck, 2021. "The Salience of Perceived Societal Conflict in Europe: A 27 Country Study on the Development of a Measure for Generalized Conflict Thinking," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 595-635, December.
    13. Yang Liu & Ji Seung Yang, 2018. "Bootstrap-Calibrated Interval Estimates for Latent Variable Scores in Item Response Theory," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 333-354, June.
    14. Holendro Singh Chungkham & Michael Ingre & Robert Karasek & Hugo Westerlund & Töres Theorell, 2013. "Factor Structure and Longitudinal Measurement Invariance of the Demand Control Support Model: An Evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH)," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-11, August.
    15. Shenghai Dai & Dubravka Svetina & Xiaolin Wang, 2017. "Reporting Subscores Using R: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 42(5), pages 617-638, October.
    16. Ingmar Leijen & Hester van Herk, 2021. "Health and Culture: The Association between Healthcare Preferences for Non-Acute Conditions, Human Values and Social Norms," IJERPH, MDPI, vol. 18(23), pages 1-15, December.
    17. Jinshu Cui & Heather Rosoff & Richard S. John, 2017. "A Polytomous Item Response Theory Model for Measuring Near-Miss Appraisal as a Psychological Trait," Decision Analysis, INFORMS, vol. 14(2), pages 75-86, June.
    18. Lindsey W. Vilca & Evelyn L. Chambi-Mamani & Emely D. Quispe-Kana & Mónica Hernández-López & Tomás Caycho-Rodríguez, 2022. "Functioning of the EROS-R Scale in a Clinical Sample of Psychiatric Patients: New Psychometric Evidence from the Classical Test Theory and the Item Response Theory," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    19. Michal Ďuriník & Jakub Procházka & Hynek Cígler, 2018. "The Short Maximization Inventory," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(1), pages 123-136, January.
    20. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:41:y:2016:i:2:p:226-233. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.