IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v50y1985i1p37-49.html
   My bibliography  Save this article

A latent class model for rating data

Author

Listed:
  • Jürgen Rost

Abstract

No abstract is available for this item.

Suggested Citation

  • Jürgen Rost, 1985. "A latent class model for rating data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 37-49, March.
    • Handle: RePEc:spr:psycho:v:50:y:1985:i:1:p:37-49
    DOI: 10.1007/BF02294146
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02294146
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02294146?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    2. P. Bentler & Jeffrey Tanaka, 1983. "Problems with EM algorithms for ML factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 247-251, 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. Johann Bacher, 2000. "A Probabilistic Clustering Model for Variables of Mixed Type," Quality & Quantity: International Journal of Methodology, Springer, vol. 34(3), pages 223-235, August.
    2. Anton K. Formann & Thomas Kohlmann, 1998. "Structural Latent Class Models," Sociological Methods & Research, , vol. 26(4), pages 530-565, May.
    3. Bolck, A. & Croon, M.A. & Hagenaars, J.A.P., 1998. "On the use of latent class scores in causal models for categorical variables," WORC Paper 98.07.005/7, Tilburg University, Work and Organization Research Centre.
    4. Geofferey Masters, 1985. "A comparison of latent trait and latent class analyses of Likert-type data," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 69-82, March.
    5. Ulf Böckenholt & Ingo Böckenholt, 1991. "Constrained latent class analysis: Simultaneous classification and scaling of discrete choice data," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 699-716, December.

    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. Jürgen Rost, 1988. "Rating scale analysis with latent class models," Psychometrika, Springer;The Psychometric Society, vol. 53(3), pages 327-348, September.
    2. Kelly Bradley & Jessica Cunningham & Richard Gilman, 2014. "Measuring Adolescent Life Satisfaction: A Psychometric Investigation of the Multidimensional Students’ Life Satisfaction Scale (MSLSS)," Journal of Happiness Studies, Springer, vol. 15(6), pages 1333-1345, December.
    3. Eun-Young Park & Soojung Chae, 2020. "Rasch Analysis of the Korean Parenting Stress Index Short Form (K-PSI-SF) in Mothers of Children with Cerebral Palsy," IJERPH, MDPI, vol. 17(19), pages 1-11, September.
    4. P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.
    5. Ronald Schoenberg & Carol Richtand, 1984. "Application of the EM Method," Sociological Methods & Research, , vol. 13(1), pages 127-150, August.
    6. Chang, Hsin-Li & Yang, Cheng-Hua, 2008. "Explore airlines’ brand niches through measuring passengers’ repurchase motivation—an application of Rasch measurement," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 105-112.
    7. Ji Seung Yang & Xiaying Zheng, 2018. "Item Response Data Analysis Using Stata Item Response Theory Package," Journal of Educational and Behavioral Statistics, , vol. 43(1), pages 116-129, February.
    8. Sullivan, Joe H. & Warkentin, Merrill & Wallace, Linda, 2021. "So many ways for assessing outliers: What really works and does it matter?," Journal of Business Research, Elsevier, vol. 132(C), pages 530-543.
    9. Jing Cao & S. Lynne Stokes & Song Zhang, 2010. "A Bayesian Approach to Ranking and Rater Evaluation," Journal of Educational and Behavioral Statistics, , vol. 35(2), pages 194-214, April.
    10. Syed Abou Iltaf Hussain & Debasish Baruah & Bapi Dutta & Uttam Kumar Mandal & Sankar Prasad Mondal & Thuleswar Nath, 2019. "Evaluating the impact of service quality on the dynamics of customer satisfaction in the telecommunication industry of Jorhat, Assam," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(1), pages 31-53, May.
    11. Ivana Bassi & Matteo Carzedda & Enrico Gori & Luca Iseppi, 2022. "Rasch analysis of consumer attitudes towards the mountain product label," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-25, December.
    12. Jules Ellis & Brian Junker, 1997. "Tail-measurability in monotone latent variable models," Psychometrika, Springer;The Psychometric Society, vol. 62(4), pages 495-523, December.
    13. Christina Matz-Costa & Jacquelyn James & Larry Ludlow & Melissa Brown & Elyssa Besen & Clair Johnson, 2014. "The Meaning and Measurement of Productive Engagement in Later Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(3), pages 1293-1314, September.
    14. Antonio Caronni & Marina Ramella & Pietro Arcuri & Claudia Salatino & Lucia Pigini & Maurizio Saruggia & Chiara Folini & Stefano Scarano & Rosa Maria Converti, 2023. "The Rasch Analysis Shows Poor Construct Validity and Low Reliability of the Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 (QUEST 2.0) Questionnaire," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    15. Wanke, Peter Fernandes & Chiappetta Jabbour, Charbel José & Moreira Antunes, Jorge Junio & Lopes de Sousa Jabbour, Ana Beatriz & Roubaud, David & Sobreiro, Vinicius Amorim & Santibanez Gonzalez‬, Erne, 2021. "An original information entropy-based quantitative evaluation model for low-carbon operations in an emerging market," International Journal of Production Economics, Elsevier, vol. 234(C).
    16. Singh, Jagdip, 2004. "Tackling measurement problems with Item Response Theory: Principles, characteristics, and assessment, with an illustrative example," Journal of Business Research, Elsevier, vol. 57(2), pages 184-208, February.
    17. Hua-Hua Chang, 1996. "The asymptotic posterior normality of the latent trait for polytomous IRT models," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 445-463, September.
    18. Curt Hagquist & Lisa Hellström, 2014. "The Psychometric Properties of the Early Development Instrument: A Rasch Analysis Based on Swedish Pilot Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 301-317, May.
    19. Curt Hagquist & Raili Välimaa & Nina Simonsen & Sakari Suominen, 2017. "Differential Item Functioning in Trend Analyses of Adolescent Mental Health – Illustrative Examples Using HBSC-Data from Finland," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 673-691, September.
    20. Wang, Luming & Finn, Adam, 2014. "A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model," Australasian marketing journal, Elsevier, vol. 22(2), pages 93-102.

    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:spr:psycho:v:50:y:1985:i:1:p:37-49. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.