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1

Wijsen, Lisa D., and Denny Borsboom. "Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents." Psychometrika 86, no. 1 (March 2021): 327–43. http://dx.doi.org/10.1007/s11336-021-09752-7.

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AbstractIn this article, we present the findings of an oral history project on the past, present, and future of psychometrics, as obtained through structured interviews with twenty past Psychometric Society presidents. Perspectives on how psychometrics should be practiced vary strongly. Some presidents are psychology-oriented, whereas others have a more mathematical or statistical approach. The originally strong relationship between psychometrics and psychology has weakened, and contemporary psychometrics has become a diverse and multifaceted discipline. The presidents are confident psychometrics will continue to be relevant but believe psychometrics needs to become better at selling its strong points to relevant research areas. We recommend for psychometrics to cherish its plurality and make its goals and priorities explicit.
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2

McDowall, Almuth, and Rainer Kurz. "Making the most of psychometric profiles – effective integration into the coaching process." International Coaching Psychology Review 2, no. 3 (November 2007): 299–309. http://dx.doi.org/10.53841/bpsicpr.2007.2.3.299.

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This practical paper is based on a skills session as delivered at the first International Coaching Psychology Conference held in 2006. It commences by discussing the use of psychometrics in general by emphasising the four psychometric principles as hallmarks of a good test; and outlining some of the advantages and potential limitations of psychometrics. In this paper a contemporary instrument, the Saville Consulting Wave®is introduced and its application is discussed in relation to coaching, with particular reference to a performance coaching context at work. It is concluded that no psychometric test is a panacea for each and every situation, but that skilful use greatly enhances the coaching process.
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3

Vetter, Thomas R., and Catherine Cubbin. "Psychometrics." Anesthesia & Analgesia 128, no. 1 (January 2019): 176–81. http://dx.doi.org/10.1213/ane.0000000000003859.

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4

Panchapakesan, Vivek, Toni Zhong, Christopher R. Forrest, Andrea L. Pusic, and Achilles Thoma. "Psychometrics." Plastic and Reconstructive Surgery Global Open 2, no. 12 (December 2014): e280. http://dx.doi.org/10.1097/gox.0000000000000197.

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5

Browne, Michael W. "Psychometrics." Journal of the American Statistical Association 95, no. 450 (June 2000): 661–65. http://dx.doi.org/10.1080/01621459.2000.10474246.

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6

von Scoyoc, Susan. "Psychometrics." Counselling Psychology Review 35, no. 1 (June 2020): 33–37. http://dx.doi.org/10.53841/bpscpr.2020.35.1.33.

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7

Sireci, Stephen G., Howard Wainer, and Henry Braun. "PSYCHOMETRICS." ETS Research Report Series 1998, no. 1 (June 1998): i—56. http://dx.doi.org/10.1002/j.2333-8504.1998.tb01763.x.

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8

Ruud, T., R. E. Drake, and G. R. Bond. "Measuring Fidelity to Evidence-Based Practices: Psychometrics." Administration and Policy in Mental Health and Mental Health Services Research 47, no. 6 (July 31, 2020): 871–73. http://dx.doi.org/10.1007/s10488-020-01074-7.

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Abstract This special section presents the psychometric properties of fidelity scales used in a national mental health services project in Norway to improve the quality of care of people with psychoses. Across Norway, 39 clinical units in six health trusts participated. The project provided education, implementation support and fidelity assessments. The papers in the section address the psychometrics of fidelity measurement for the specific evidence-based practices: illness management and recovery, family psychoeducation, physical healthcare and antipsychotic medication management. Another paper analyzes the psychometrics of a scale measuring individualization and quality improvement that may be used in conjunction with fidelity scales for specific evidence-based practices. The first paper in the section presents the development and field of fidelity scales, and the two final papers with comments add some additional perspectives and discuss fidelity scales in a wider context. The psychometrics of the five scales were good to excellent. Fidelity assessment is a necessary and effective strategy for quality improvement.
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9

Barrett, Paul. "Beyond psychometrics." Journal of Managerial Psychology 18, no. 5 (August 2003): 421–39. http://dx.doi.org/10.1108/02683940310484026.

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10

Decker, Scott L. "Intervention Psychometrics." Assessment for Effective Intervention 34, no. 1 (May 21, 2008): 52–61. http://dx.doi.org/10.1177/1534508408314177.

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11

Fleck, Marcelo Pio de Almeida. "Clinical psychometrics." Revista Brasileira de Psiquiatria 35, no. 3 (September 2013): 333. http://dx.doi.org/10.1590/1516-4446-2013-3501.

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12

Østergaard, Søren Dinesen. "Clinical psychometrics." Acta Psychiatrica Scandinavica 126, no. 4 (September 13, 2012): 305. http://dx.doi.org/10.1111/j.1600-0447.2012.01915.x.

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13

Meier, Scott T. "Practical Psychometrics." Contemporary Psychology: A Journal of Reviews 42, no. 9 (September 1997): 837–38. http://dx.doi.org/10.1037/001349.

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14

Baldwin, Peter, Joseph Bernstein, and Howard Wainer. "Hip psychometrics." Statistics in Medicine 28, no. 17 (July 30, 2009): 2277–92. http://dx.doi.org/10.1002/sim.3616.

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15

Davies, Mark G., Michael J. Rowan, and John Feely. "Psychometrics in assessing hepatic encephalopathy – a brief review." Irish Journal of Psychological Medicine 8, no. 2 (September 1991): 144–46. http://dx.doi.org/10.1017/s0790966700015135.

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AbstractHepatic encephalopathy is a neuropsychiatric disorder usually associated with severe hepatic insufficiency. It may however be divided into clinical and subclinical groupings. Psychometric testing, serial EEG's, EEG spectral analysis and event related potentials are all presently being used to quantify and differentiate between the various stages of hepatic encephalopathy. We review the use of psychometrics in hepatic encephalopathy and discuss evidence that these findings are comparable with the more objective data of electrophysiological studies. An adequate, simple and inexpensive assessment may be carried out using a battery of psychometric tests which include number connection tests and five pointed star construction.
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16

Cumba-Avilés, Eduardo. "Systematic Review on the Use of the Children’s Depression Inventory-2 Among Hispanics." Hispanic Journal of Behavioral Sciences 42, no. 2 (April 29, 2020): 191–214. http://dx.doi.org/10.1177/0739986320915170.

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We systematically reviewed studies reporting the use of the Children’s Depression Inventory-2 (CDI-2) in samples with at least 30 children and significant Hispanics enrollment (≥14.5% of the sample and at least 20 Hispanics completing the scale). We grouped studies by form (short or full-length) and language used, developmental stage, report of psychometric data (particularly for Hispanics), and other characteristics. From 252 full-texts revised, 22 met selection criteria. Six reported psychometric data for Hispanics, either for the English full-length (α = .86–.92) and short form (α = .76–.81) or for the Spanish short form (α = .69–.80). Criterion-related validity was supported via correlation/regression or comparing group means, but not using another depression self-report scale. Current knowledge on the CDI-2 psychometrics among Hispanics is mostly based on studies with the English-language version. No study has reported the psychometrics of the full-length Spanish-language CDI-2 with Hispanics.
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17

Platts, Conall. "Psychometrics in Coaching: Using Psychological and Psychometric Tools for Development." Coaching Psychologist 5, no. 2 (December 2009): 152–54. http://dx.doi.org/10.53841/bpstcp.2009.5.2.152.

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18

McDonald, Angus S. "Psychometrics in Coaching: Using Psychological and Psychometric Tools for Development." Assessment and Development Matters 1, no. 1 (March 2009): 27–28. http://dx.doi.org/10.53841/bpsadm.2009.1.1.27.

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19

Verran, Joyce A., Barbara A. Mark, and Gerri Lamb. "Focus on psychometrics psychometric examination of instruments using aggregated data." Research in Nursing & Health 15, no. 3 (June 1992): 237–40. http://dx.doi.org/10.1002/nur.4770150310.

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20

Krahé, Barbara, and Gün R. Semin. "In search of explanations: A rejoinder to Borkenau." European Journal of Personality 3, no. 1 (March 1989): 15–18. http://dx.doi.org/10.1002/per.2410030103.

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The main points raised by Borkenau against our challenge of the 'intuitive psychometrics' view of personality judgements are discussed, in particular his example of the link between school grades and intelligence. It is argued that the semantic similarity interpretation advanced in our paper is more adequate and more parsimonious than explanations in terms of psychometric reasoning.
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21

Huggins-Manley, A. Corinne. "Psychometrics: An Introduction." Measurement: Interdisciplinary Research and Perspectives 20, no. 1 (January 2, 2022): 47–48. http://dx.doi.org/10.1080/15366367.2021.1976089.

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22

Figueroa, R. A. "Bilingualism and Psychometrics." Diagnostique 17, no. 1 (October 1991): 70–85. http://dx.doi.org/10.1177/153450849101700107.

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23

Passmore, Jonathan. "Psychometrics in Coaching." NHRD Network Journal 3, no. 2 (April 2010): 81–82. http://dx.doi.org/10.1177/0974173920100215.

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24

Cooper, Colin. "A Psychometrics Primer." Personality and Individual Differences 31, no. 2 (July 2001): 277–78. http://dx.doi.org/10.1016/s0191-8869(00)00107-0.

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25

Boodoo, Gwyneth. "IQ and Psychometrics." Contemporary Psychology: A Journal of Reviews 36, no. 6 (June 1991): 532. http://dx.doi.org/10.1037/029857.

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26

Norman, Geoff. "Is psychometrics science?" Advances in Health Sciences Education 21, no. 4 (August 8, 2016): 731–34. http://dx.doi.org/10.1007/s10459-016-9705-6.

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27

Sijtsma, Klaas. "Future of Psychometrics: Ask What Psychometrics Can Do for Psychology." Psychometrika 77, no. 1 (December 3, 2011): 4–20. http://dx.doi.org/10.1007/s11336-011-9242-4.

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28

Dai, Shenghai. "Handling Missing Responses in Psychometrics: Methods and Software." Psych 3, no. 4 (November 19, 2021): 673–93. http://dx.doi.org/10.3390/psych3040043.

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The presence of missing responses in assessment settings is inevitable and may yield biased parameter estimates in psychometric modeling if ignored or handled improperly. Many methods have been proposed to handle missing responses in assessment data that are often dichotomous or polytomous. Their applications remain nominal, however, partly due to that (1) there is no sufficient support in the literature for an optimal method; (2) many practitioners and researchers are not familiar with these methods; and (3) these methods are usually not employed by psychometric software and missing responses need to be handled separately. This article introduces and reviews the commonly used missing response handling methods in psychometrics, along with the literature that examines and compares the performance of these methods. Further, the use of the TestDataImputation package in R is introduced and illustrated with an example data set and a simulation study. Corresponding R codes are provided.
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29

Kabalski, Przemysław, and Marta Nowak. "The potential of using psychometric tests in Polish accounting research." Zeszyty Teoretyczne Rachunkowości 47, no. 4 (December 18, 2023): 91–116. http://dx.doi.org/10.5604/01.3001.0054.0885.

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Purpose: To demonstrate the rationale for using psychometric tests in accounting research and show the spectrum of possibilities for such research in the context of skepticism towards them in Polish academia. Methodology/approach: Deduction and a scoping literature review. Findings: We confirm that personality traits and states of the human mind affect the accounting process, and psychometrics is a field with strong theoretical foundations and well-developed empirical tools. This means that the use of psychometric tests in accounting research indisputably makes sense. Thereby, the skepticism towards psychometric research in accounting in Polish academic accounting society is questioned. Originality/value: We conducted an extensive review of the accounting research that used psychometric tests. We demonstrate the rationale for the use of psychometric testing in accounting.
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30

McNally, Richard J. "Points of contact between network psychometrics and experimental psychopathology." Journal of Experimental Psychopathology 14, no. 1 (January 2023): 204380872311515. http://dx.doi.org/10.1177/20438087231151505.

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Experimental psychology has long embodied the quest to identify the causes of psychopathology. This venerable tradition has been joined in this quest by network theory, a novel approach to conceptualizing episodes of disorder as emerging from complex systems characterized by dynamic interactions of symptoms. Although issuing from the correlational, psychometric tradition rather than the experimental one, it nevertheless offers methods for identifying symptom targets for clinical experimental intervention. The purpose of this article is to sketch the points of contact between network psychometrics and experimental psychopathology.
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31

Pearce, Jacob. "In defence of constructivist, utility‐driven psychometrics for the ‘post‐psychometric era’." Medical Education 54, no. 2 (December 22, 2019): 99–102. http://dx.doi.org/10.1111/medu.14039.

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32

Zétényi, Tamás. "Creativity, psychometrics and thinking." Magyar Pszichológiai Szemle 65, no. 2 (June 1, 2010): 233–42. http://dx.doi.org/10.1556/mpszle.65.2010.2.5.

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Az előadás áttekintést ad a kreatív képességek mérésének módszereiről és az elmúlt fél évszázadban elért eredményeiről. Beszámol az agyféltekék funkcionális dominanciájának szerepéről a kreativitás vizsgálatában. Összefüggésbe hozza a standard idegrendszeri hálózatokat a gondolkodással. Az újabb kognitív idegtudományi kutatások eredményei alapján választ próbál adni arra a kérdésre, hogy mit csinál az idegrendszer akkor, amikor „nem csinálunk semmit”, és ez hol történik. Példát ad a perceptuális stílus, a személyiségsajátosságok és a kreatív produkció összefüggéséről. Bemutatja, hogy a REM-szakaszt is tartalmazó alvás hogyan „hasznosítja” a kreativitásfeladat megoldását segítő ingereket az ébredés után.
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33

Yokouchi, Mitsuko. "An overview of psychometrics." Journal of the Japanese Society of Intensive Care Medicine 14, no. 4 (2007): 555–61. http://dx.doi.org/10.3918/jsicm.14.555.

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34

Davison, Mark L., Fred Damarin, and Fritz Drasgow. "Psychometrics and graduate education." American Psychologist 41, no. 5 (May 1986): 584–86. http://dx.doi.org/10.1037/0003-066x.41.5.584.

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35

Cipresso, Pietro, Aleksandar Matic, Dimitris Giakoumis, and Yuri Ostrovsky. "Advances in Computational Psychometrics." Computational and Mathematical Methods in Medicine 2015 (2015): 1–2. http://dx.doi.org/10.1155/2015/418683.

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36

Lipovetsky, Stan. "Modern Psychometrics With R." Technometrics 62, no. 1 (January 2, 2020): 135–37. http://dx.doi.org/10.1080/00401706.2019.1708675.

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37

Blinkhorn, Steve. "Psychometrics at the trot." Nature 314, no. 6006 (March 1985): 35. http://dx.doi.org/10.1038/314035b0.

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38

Pine, D., M. Rish, D. Shaffer, C. Busner, M. Davies, J. Fried, and E. Charney. "Psychometrics of Soft Signs." Journal of the American Academy of Child & Adolescent Psychiatry 33, no. 6 (July 1994): 918. http://dx.doi.org/10.1097/00004583-199407000-00033.

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39

Lokke, Claire, Irvine Gersch, Hilda M'gadzah, and Norah Frederickson. "The Resurrection of Psychometrics." Educational Psychology in Practice 12, no. 4 (January 1997): 222–33. http://dx.doi.org/10.1080/0266736970120408.

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40

Nowland, Trisha, Alissa Beath, and Simon Boag. "Objectivity, realism, and psychometrics." Measurement 145 (October 2019): 292–99. http://dx.doi.org/10.1016/j.measurement.2019.05.038.

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41

Crocker, Linda. "Editorial: Cross-Cultural Psychometrics." Educational Measurement: Issues and Practice 16, no. 1 (October 25, 2005): 4. http://dx.doi.org/10.1111/j.1745-3992.1997.tb00579.x.

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42

Stanney, Kay M., and Robert S. Kennedy. "The psychometrics of cybersickness." Communications of the ACM 40, no. 8 (August 1997): 66–68. http://dx.doi.org/10.1145/257874.257889.

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43

Hintze, John M. "Psychometrics of Direct Observation." School Psychology Review 34, no. 4 (December 1, 2005): 507–19. http://dx.doi.org/10.1080/02796015.2005.12088012.

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44

Michell, Joel. "Is Psychometrics Pathological Science?" Measurement: Interdisciplinary Research & Perspective 6, no. 1-2 (May 29, 2008): 7–24. http://dx.doi.org/10.1080/15366360802035489.

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45

Datta, Sumona. "Modern Practices in Psychometric Test Construction and Validation: The Indian Scenario." Psychology & Psychological Research International Journal 7, no. 3 (2022): 1–4. http://dx.doi.org/10.23880/pprij-16000309.

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Анотація:
Psychometric test construction and validation has come a long way in the past few decades. With the development of modern approaches to testing and applications of statistical softwares, this field of research has become highly sophisticated and enriched. The Indian scenario is however, a little different, pertaining to the acceptability of modern psychometric methods and their use in test development and validation. Although several new tests and questionnaires are being developed or validated in local cultural contexts, Indian researchers are yet to reach the state where psychometric test development and validation becomes a usual practice. Building a common platform for exchange of knowledge and expertise in psychometrics is highly recommended in order to facilitate such practices at a greater extent.
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46

Hackney, Alisha J., N. Jennifer Klinedinst, and Barbara Resnick. "Measuring Fatigue in Older Adults With Joint Pain: Reliability and Validity Testing of the PROMIS Fatigue Short Forms." Journal of Nursing Measurement 27, no. 3 (December 1, 2019): 534–53. http://dx.doi.org/10.1891/1061-3749.27.3.534.

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Background and PurposeLimited literature exists regarding the psychometric properties of the Patient-Reported Outcome Measurement Information System (PROMIS) Fatigue Short Form 8a. This study compared the psychometric properties of the 8a to the established PROMIS Fatigue Short Form 7a.MethodsThis was a cross-sectional study of 31 older adults with joint pain. Equivalent forms reliability and a Rasch analysis explored reliability (equivalent forms, internal consistency), validity (unidimensionality, item INFIT/OUTFIT), and additional psychometrics (item mapping).ResultsThe measures were equivalent in measuring fatigue (r = 0.75, p < .001) with good internal consistency (α = .87−.92). Both were unidimensional. Even though the 8a had better fitting items, neither measure could differentiate low levels of fatigue.ConclusionThe 8a has comparable psychometric properties to the 7a in this population. Future work is needed in larger, more diverse samples.
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47

Hillner, Adam, and Hal Shorey. "A Review of “Psychometrics in coaching: Using psychological and psychometric tools for development”." Journal of Personality Assessment 92, no. 4 (June 16, 2010): 371–72. http://dx.doi.org/10.1080/00223891.2010.482029.

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48

Oláh, Leslie Nabors, and André A. Rupp. "A Review of Psychometric Methods in Mathematics Education: Opportunities, Challenges, and Interdisciplinary Collaborations." Journal for Research in Mathematics Education 49, no. 3 (May 2018): 356–60. http://dx.doi.org/10.5951/jresematheduc.49.3.0356.

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Анотація:
In 2011, the editors of this volume convened 64 researchers in mathematics education and psychometrics to promote collaboration around the measurement of constructs relevant to mathematics education. This monograph codifies much of the knowledge shared during that conference with the purpose of informing mathematics education researchers about psychometric models that can address a wide range of research questions. The underlying premise is that many mathematics educators use and work with measurement but are potentially limited in their work if they do not understand its nuances.
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49

Robitzsch, Alexander. "To Check or Not to Check? A Comment on the Contemporary Psychometrics (ConPsy) Checklist for the Analysis of Questionnaire Items." European Journal of Investigation in Health, Psychology and Education 13, no. 10 (October 6, 2023): 2150–59. http://dx.doi.org/10.3390/ejihpe13100151.

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Анотація:
In a recent paper, the first version of the contemporary psychometrics (ConPsy) checklist for assessing measurement tool quality has been published. This checklist aims to provide guidelines and references to researchers to assess measurement properties for newly developed measurement instruments. The ConPsy checklist recommends appropriate statistical methods for measurement instrument evaluation to guide researchers in instrument development and to support peer review. In this opinion article, I critically review some aspects of the checklist and question the usefulness of certain psychometric analyses in research practice.
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50

Geranpayeh, Ardeshir. "Leveraging Computational Psychometrics for Language Testing." Language Teaching Research Quarterly 37 (November 2023): 204–12. http://dx.doi.org/10.32038/ltrq.2023.37.11.

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Анотація:
The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society. This paper posits that the application of computational psychometrics can enable the incorporation of technology into language assessment, enhancing test accessibility for learners while simultaneously elevating the precision of language proficiency evaluation. In this context, computational psychometrics is defined as a fusion of theory-based psychometrics and data-driven methodologies drawn from machine learning, artificial intelligence, natural language processing, and data science. This amalgamation offers a more robust and adaptable framework for analyzing intricate data, particularly within the contemporary landscape of learner-centric assessment. The paper concludes by emphasizing that the integration of computational psychometrics into language assessment opens up promising avenues for future research and practical applications, heralding an era of innovation in this field.
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