IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0258459.html
   My bibliography  Save this article

Psychometric evaluation of the Danish language version of the field practice experiences questionnaire for students in teacher education (FPE-DK) using item analysis according to the Rasch model

Author

Listed:
  • Tine Nielsen

Abstract

The aim of the study was to conduct a first validation of three field practice experience scales intended to measure students’ opportunities to learn through observation of other teachers, own practice and feedback on own practice of 12 key teaching activities while in field practice placement as part of teacher education programs. The scales were translated and adapted from the elementary teaching candidate survey from the Development of Ambitious Instruction project. Items were adapted to refer to the teaching subject students were training in, and the response scale was modified. A four-step translation-back-translation strategy was used, and subsequently the Danish and a Norwegian and Icelandic translations were mutually adjusted for meaning to facilitate later cross-Nordic studies. Participants were 345 Danish students in the teacher education program from one university college, who had been in at least one field practice placement. Data were collected using a targeted online survey during one month immediately following field placement. Data was analysed using the Rasch model. Each of the three field experience scales fitted a Rasch model, with no evidence against overall homogeneity of scores for low versus high scoring students, local dependence between items, or DIF in relation to level of field practice, campus, type of teacher education program, gender or age. Reliability of each scale was excellent for most subgroups, while the targeting of the scales to the study sample was not very good, as there were too few teaching activities occurring rarely during field practice (i.e. too few difficult items). For all three scales there were significant differences in mean scores dependent on level of field practice placement. Thus, while the scales should be expanded to get better coverage of students’ opportunities to learn in relation to all the core teaching activities present in that are to be trained in the field practice placement, the very good psychometric properties of the three scales, shows promise for future research.

Suggested Citation

  • Tine Nielsen, 2021. "Psychometric evaluation of the Danish language version of the field practice experiences questionnaire for students in teacher education (FPE-DK) using item analysis according to the Rasch model," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-23, October.
  • Handle: RePEc:plo:pone00:0258459
    DOI: 10.1371/journal.pone.0258459
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0258459
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0258459&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0258459?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. Hendrikus Kelderman, 1984. "Loglinear Rasch model tests," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 223-245, June.
    2. 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. 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.
    2. 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.
    3. Betina Ristorp Andersen & Maria Birkvad Rasmussen & Karl Bang Christensen & Kirsten G Engel & Charlotte Ringsted & Ellen Løkkegaard & Martin G Tolsgaard, 2020. "Making the best of the worst: Care quality during emergency cesarean sections," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-13, February.
    4. Clemens Draxler, 2010. "Sample Size Determination for Rasch Model Tests," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 708-724, December.
    5. Clemens Draxler & Rainer Alexandrowicz, 2015. "Sample Size Determination Within the Scope of Conditional Maximum Likelihood Estimation with Special Focus on Testing the Rasch Model," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 897-919, December.
    6. Karl Klauer, 1991. "An exact and optimal standardized person test for assessing consistency with the rasch model," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 213-228, June.
    7. Alberto Maydeu-Olivares & Rosa Montaño, 2013. "How Should We Assess the Fit of Rasch-Type Models? Approximating the Power of Goodness-of-Fit Statistics in Categorical Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 78(1), pages 116-133, January.
    8. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    9. Daniela Raccanello & Giada Vicentini & Elena Trifiletti & Roberto Burro, 2020. "A Rasch Analysis of the School-Related Well-Being (SRW) Scale: Measuring Well-Being in the Transition from Primary to Secondary School," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
    10. 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.
    11. 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.
    12. Cees Glas, 1988. "The derivation of some tests for the rasch model from the multinomial distribution," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 525-546, December.
    13. Haruhiko Ogasawara, 2013. "Asymptotic properties of the Bayes modal estimators of item parameters in item response theory," Computational Statistics, Springer, vol. 28(6), pages 2559-2583, December.
    14. Timo Bechger & Gunter Maris, 2015. "A Statistical Test for Differential Item Pair Functioning," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 317-340, June.
    15. Karl Klauer & William Batchelder, 1996. "Structural analysis of subjective categorical data," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 199-239, June.
    16. 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.
    17. Ivo Poncny, 2000. "Exact person fit indexes for the rasch model for arbitrary alternatives," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 29-42, March.
    18. Mair, Patrick & Hatzinger, Reinhold, 2007. "Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i09).
    19. 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.
    20. Herbert Hoijtink & Ivo Molenaar, 1992. "Testing for DIF in a model with single peaked item characteristic curves: The parella model," Psychometrika, Springer;The Psychometric Society, vol. 57(3), pages 383-397, September.

    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:plo:pone00:0258459. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.