| 1. |
- Andersson, Carolyn J., et al.
(författare)
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Stories of successful careers in psychometrics and what we can learn from them
- 2020
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Ingår i: Quantitative psychology. - New York : Springer. - 9783030434687 - 9783030434694 ; , s. 1-17
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Bokkapitel (refereegranskat)abstract
- This paper was inspired by the presentations and discussions from the panel "Successful Careers in Academia and Industry and What We Can Learn from Them”" that took place at the IMPS meeting in 2019. In this paper, we discuss what makes a career successful in academia and industry and we provide examples from the past to the present. We include education and career paths as well as highlights of achievements as researchers and teachers. The paper provides a brief historical context for the representation of women in psychometrics and an insight into strategies for success for publishing, for grant applications and promotion. The authors outline the importance of interdisciplinary work, the inclusive citation approaches, and visibility of research in academia and industry. The personal stories provide a platform for considering the needs for a supportive work environment for women and for work-life balance. The outcome of these discussions and reflections of the panel members are included in the paper.
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| 2. |
- Wallin, Gabriel, et al.
(författare)
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Selecting a presmoothing model in kernel equating
- 2020
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Ingår i: Quantitative psychology. - New York : Springer. - 9783030434687 - 9783030434694 ; , s. 111-120
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Bokkapitel (refereegranskat)abstract
- In the kernel method of test score equating, the first step of the procedure is to presmooth the score distributions. The most common way of doing so is by fitting a log-linear model to the observed-score distributions. In this way, irregularities in the score distributions are smoothed, yielding a more stable estimated equating transformation. Within the kernel equating framework, an alternative way of presmoothing by using item response theory models has recently been suggested. There are furthermore several model selection criteria available for both of these classes of models. Here the model selection criteria are studied for both log-linear and item response theory models. Specifically, the likelihood ratio, AIC, and BIC measures are compared using real admissions data. Results show that the different model selection criteria result in equated scores that have real impact differences.
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| 3. |
- Wiberg, Marie, 1976-, et al.
(författare)
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Practical implementation of test equating using R
- 2020
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Ingår i: Quantitative psychology. - New York : Springer. - 9783030434687 - 9783030434694 ; , s. 121-133
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Bokkapitel (refereegranskat)abstract
- Test equating methods are widely used in order to make comparable different test forms administered at different occasions to different test takers. Although software for test equating is currently available, in this paper we focus the attention on four different R packages which can facilitate test equating for researchers and test developers. This paper list the different R packages which are available at the moment. Examples are provided for the equate, equateIRT, kequate, and the SNSequate packages. Additional features of these packages are discussed as well.
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