Prahastuti, Nurul F
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PENERAPAN KONTEKS BUDAYA DALAM PSIKOMETRIKA Andidar, Denestyar Rizki; Prahastuti, Nurul F
JURNAL TALENTA PSIKOLOGI Vol. 10 No. 2 (2021): Jurnal Talenta Psikologi Vol. X No. 2 Agustus 2021
Publisher : Universitas Sahid Surakarta

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The purpose of the study was to explain the meaning of the culture itself that has always been attached to the individual. An ideal measurement instrument is one that distinguishesone particular characteristic of an individual from another, and is accompanied by its inclusion. However, not everything in culture can be applied to psychometric studies, to avoid this irrelevance, researchers ask the fundamental question, namely what psychometric and cultural meanings are so that both are important to be applied in research and applicable professional work. This research is useful to be a reference because it discusses the fundamentals of the importance of paying attention to cultural contexts that rarely get attention in the field of psychometrics. The results of the study stated that in order for measurements to reach an accurate and relevant level, a process of conceptualizing measuring instruments that are culturally fair. , considering that a psychological measuring tool is used in various areas of research, diagnostic, selection, etc.
IDENTIFIKASI DIFFERENTIAL ITEM FUNCTIONING PADA TES PENGERTIAN MEKANIK (C4) DENGAN PENDEKATAN RASCH MODEL Prahastuti, Nurul F
JURNAL TALENTA PSIKOLOGI Vol. 11 No. 1 (2022): Jurnal Talenta Psikologi Vol. XI No.1 Februari 2022
Publisher : Universitas Sahid Surakarta

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Mechanical Reasoning Test (C4) was used in an assessment to measure the mechanical reasoning aptitude. Mechanical Reasoning Test has a quality of high-stakes exam, it has a major life consequence for the subject. Mechanical Reasoning Test needs to be re-tested to check whether its items’ usage are still justified or if it needs to be changed. Also, besides having good items qualities, it is also important to make sure that Mechanical Reasoning Test (C4) are not biased for one gender. An item indicated to be DIF will be beneficiary for one group of subjects, while biased against another. The purpose of this research was to test the quality of items and to identify the Differential Item Functioning (DIF) of Mechanical Reasoning Test using Rasch Model. Rasch Model was chosen because it has advantages in data analysis compared to classical model. Data analysis was done using the software Winstep 3.73. The amount of data gathered were 528 divided into M = 184 and F = 344. Respondents’ age range was 16 to 20 years old. The analysis showed that Mechanical Reasoning Test was a difficult test, because the difficulty level was much higher than subjects’ capability. The reliability score was .73, as such it can be considered reliable. All the questions in Mechanical Reasoning Test were fit and can show subjects’ true capability. There were 24 items indicated to be DIF and biased for one group of subjects.