IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v51y1986i1p53-56.html
   My bibliography  Save this article

Statistics, data analysis and Psychometrika: Major developments

Author

Listed:
  • Mark Appelbaum

Abstract

No abstract is available for this item.

Suggested Citation

  • Mark Appelbaum, 1986. "Statistics, data analysis and Psychometrika: Major developments," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 53-56, March.
  • Handle: RePEc:spr:psycho:v:51:y:1986:i:1:p:53-56
    DOI: 10.1007/BF02293998
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02293998
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02293998?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. J. Ramsay, 1969. "Some statistical considerations in multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 167-182, June.
    2. Harry Gollob, 1968. "A statistical model which combines features of factor analytic and analysis of variance techniques," Psychometrika, Springer;The Psychometric Society, vol. 33(1), pages 73-115, March.
    3. A. Hakstian & Thomas Whalen, 1976. "A k-sample significance test for independent alpha coefficients," Psychometrika, Springer;The Psychometric Society, vol. 41(2), pages 219-231, June.
    4. Erling Andersen, 1973. "A goodness of fit test for the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 123-140, March.
    Full references (including those not matched with items on IDEAS)

    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. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    2. Maria Jose Sanchez-Andrades & Maria Jesus Vinolo-Gil & María Jesús Casuso-Holgado & Javier Barón-López & Manuel Rodríguez-Huguet & Rocío Martín-Valero, 2023. "Measurement Properties of Self-Report Questionnaires for Amyotrophic Lateral Sclerosis: A Systematic Review and Meta-Analysis of Commonly Used Instruments," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    3. Brian K Miller & Kay M Nicols & Silvia Clark & Alison Daniels & Whitney Grant, 2018. "Meta-analysis of coefficient alpha for scores on the Narcissistic Personality Inventory," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
    4. David J. Hessen, 2023. "Fitting and Testing Log-Linear Subpopulation Models with Known Support," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 917-939, September.
    5. C. Glas & Anna Dagohoy, 2007. "A Person Fit Test For Irt Models For Polytomous Items," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 159-180, June.
    6. Ahakpaz, Farhad & Abdi, Hossein & Neyestani, Elyas & Hesami, Ali & Mohammadi, Behrouz & Mahmoudi, Kourosh Nader & Abedi-Asl, Gholamreza & Noshabadi, Mohammad Reza Jazayeri & Ahakpaz, Farzad & Alipour,, 2021. "Genotype-by-environment interaction analysis for grain yield of barley genotypes under dryland conditions and the role of monthly rainfall," Agricultural Water Management, Elsevier, vol. 245(C).
    7. Roger Girard & Norman Cliff, 1976. "A monte carlo evaluation of interactive multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 41(1), pages 43-64, March.
    8. Franck, Christopher T. & Nielsen, Dahlia M. & Osborne, Jason A., 2013. "A method for detecting hidden additivity in two-factor unreplicated experiments," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 95-104.
    9. Griffin, Maryclare & Hoff, Peter D., 2019. "Lasso ANOVA decompositions for matrix and tensor data," Computational Statistics & Data Analysis, Elsevier, vol. 137(C), pages 181-194.
    10. Leontitsis, Alexandros & Pagge, Jenny, 2007. "A simulation approach on Cronbach's alpha statistical significance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 73(5), pages 336-340.
    11. David Levine, 1978. "A monte carlo study of kruskal's variance based measure on stress," Psychometrika, Springer;The Psychometric Society, vol. 43(3), pages 307-315, September.
    12. Clemens Draxler, 2018. "Bayesian conditional inference for Rasch models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 245-262, April.
    13. Gerhard Tutz & Gunther Schauberger, 2015. "A Penalty Approach to Differential Item Functioning in Rasch Models," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 21-43, March.
    14. Luz Dary Upegui-Arango & Thomas Forkmann & Tine Nielsen & Nina Hallensleben & Heide Glaesmer & Lena Spangenberg & Tobias Teismann & Georg Juckel & Maren Boecker, 2020. "Psychometric evaluation of the Interpersonal Needs Questionnaire (INQ) using item analysis according to the Rasch model," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-21, August.
    15. Odette D. Weedon & Maria R. Finckh, 2019. "Heterogeneous Winter Wheat Populations Differ in Yield Stability Depending on their Genetic Background and Management System," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
    16. Georg Gittler & Gerhard Fischer, 2011. "IRT-Based Measurement of Short-Term Changes of Ability, With an Application to Assessing the “Mozart Effectâ€," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 33-75, February.
    17. Bijmolt, T.H.A. & Wedel, M., 1996. "A Monte Carlo Evaluation of Maximum Likelihood Multidimensional Scaling Methods," Research Memorandum 725, Tilburg University, School of Economics and Management.
    18. Robert Zwitser & Gunter Maris, 2015. "Conditional Statistical Inference with Multistage Testing Designs," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 65-84, March.
    19. Svend Kreiner & Karl Christensen, 2014. "Analyses of Model Fit and Robustness. A New Look at the PISA Scaling Model Underlying Ranking of Countries According to Reading Literacy," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 210-231, April.
    20. repec:jss:jstsof:34:i10 is not listed on IDEAS
    21. Leonard Feldt, 1980. "A test of the hypothesis that Cronbach's alpha reliability coefficient is the same for two tests administered to the same sample," Psychometrika, Springer;The Psychometric Society, vol. 45(1), pages 99-105, 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:spr:psycho:v:51:y:1986:i:1:p:53-56. 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.