Articles
<![CDATA[Perbandingan Properti Psikometris Skala Kesehatan Mental (SKM) antara Metode Administrasi Paper-and-Pencil dan Web-Based ]]>
<![CDATA[Mikael Reno Prasasto]]>;
<![CDATA[Wahyu Widhiarso]]>
<![CDATA[ Gadjah Mada Journal of Professional Psychology (GamaJPP) Vol 2, No 1 (2016) ]]>
Publisher : <![CDATA[Faculty of Psychology, Universitas Gadjah Mada ]]>
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DOI: 10.22146/gamajpp.32317
<![CDATA[Advancements on information technology had helped scientific development.For example, now we could present a test using computers rather than using printedpapers. This research compares the differences between the psychometric properties of apaper-and-pencil test (PPT) and web-based test (WBT). This research used Skala KesehatanMental (SKM) which was given to 544 junior and senior high-school grade school. Thescale has 32 items and administered with either paper or on a website. The result showedthat each method has a different but not significant psychometric properties. Compared toPPT, WBT was able to deliver fewer cases of outliers and higher item-total correlation.Reliability coefficient on both method were satisfying and able to stay unidimensional onfactor analysis. Item endorsability does not appear to have significant differences. Moreresearch on this topic is needed to further examine the effect between each method on testresults.]]>
<![CDATA[ESTIMASI RELIABILITAS PENGUKURAN DALAM PENDEKATAN MODEL PERSAMAAN STRUKTURAL ]]>
<![CDATA[Wahyu Widhiarso]]>
<![CDATA[ Buletin Psikologi Vol 17, No 1 (2009) ]]>
Publisher : <![CDATA[Faculty of Psychology Universitas Gadjah Mada ]]>
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DOI: 10.22146/bpsi.11480
<![CDATA[The utility of Structural Equation Modelling (SEM) approach into research in psychology, especially in psychometrics development have not yet been fully explored. The proportion of utilization between SEM sub models in research field (i.e. structural model and measurement model) was unbalance. Numerous researcher has used SEM only to test their structural model but avoid to use SEM to identify its measurement model. This article explain SEM function to estimate reliability of measurement. The reliability coeffcient such as composite reliability, construt reliability and maximal reliability are outlined.]]>
<![CDATA[Accommodating Method Effects in Testing Construct Validity Through Confirmatory Factor Analysis ]]>
<![CDATA[Wahyu Widhiarso]]>
<![CDATA[ Psikologia : Jurnal Psikologi Vol 1 No 1 (2016): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/psikologia.v1i1.478
<![CDATA[Literatures in the field of psychometrics recommend researchers to employvarious of methods on measuring individual attributes. Ideally,each methods are complementary and measuresthe construct designed to be measured. However, some problems arise when among the methods is unique and unrelated to the construct being measured. The uniqueness of method can lead what is called the method effect. In testing construct validity using confirmatory factor analysis, the emergence of this effect tend to reducing the goodness of fit indices of the model. There are many ways to solve these problem, one of themis controling the method effects and accommodate it to the model. This paper introduces how to accommodate method effecton the confirmatory factor analysis using structural equation modeling. In the application section, author identify the emergence of method effects due to the differences item writing direction (favorable-unfavorable). The analysis showed that method effectemerge from different writing direction.]]>
<![CDATA[Fitur Non Konten dan Intensitas Konten Ukur pada Butir Skala Psikologi ]]>
<![CDATA[Wahyu Widhiarso]]>;
<![CDATA[Safirah Hanifa]]>
<![CDATA[ Intuisi : Jurnal Psikologi Ilmiah Vol 14, No 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Jurusan Psikologi, Fakultas Ilmu Pendidikan, Universitas Negeri Semarang ]]>
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DOI: 10.15294/intuisi.v14i2.37616
<![CDATA[Selain mengukur suatu konten tertentu berdasarkan konstruk yang diukur, sebuah butir dalam skala psikologi memiliki berbagai macam atribut atau fitur yang tidak berkaitan dengan konten ukur (fitur non konten). Penelitian ini mengeksplorasi salah satu klasifikasi berdasarkan fitur non konten butir berupa ciri sifat dimanifestasikan (misalnya, aksi dan afeksi). Penelitian ini bertujuan untuk menemukan kaitan antara fitur non konten tersebut dengan intensitas atau kedalaman ukur suatu butir pada skala psikologi. Penelitian ini menggunakan data dari Projek SAPA yang aktif melakukan penelitian terkait pengukuran kepribadian (N = 54.855). Hasil analisis menunjukkan bahwa tidak didapatkan keterkaitan antara fitur non konten (aksi, kognisi, afeksi, preferensi) dengan intensitas pengukuran yang menunjukkan probabilitas persetujuan responden terhadap pernyataan di dalam butir. Simpulan ini didukung dari hasil analisis yang dilakukan dengan menggunakan perbandingan parameter lokasi butir melalui analisis butir berbasis pemodelan Rasch. Hasil pengujian statistika menunjukkan tidak terdapat perbedaan dalam hal parameter lokasi butir dengan fitur non konten butir. Instead of assessing a specific content based on the construct being measured, item of a psychological scale has various attributes or features that are not related to the measured content (non-content related features). This study explores one of the classifications based on non-item content features in the form of how traits are manifested (e.g., action and affection). This study finds the relationship between these features and the intensity or depth of measurement of item on a psychological scale. This study uses data from the SAPA Project which is actively conducting research related to personality measurement across countries (N = 54,855). Analysis results show that there is no relationship between four item non-content features (action, cognition, affection, preference) and the item intensity that indicates the probability of respondents' agreement with the statements of item. This conclusion is supported by the finding the analysis carried out using a comparison of item location parameters obtained from modern item analysis based on Rasch modeling. The results of statistical tests show that there is no difference in terms of item location parameters with non-item content features.]]>
<![CDATA[PENERAPAN ANALISIS KELAS LATEN UNTUK MENGEKSPLORASI TIPOLOGI KEPRIBADIAN ]]>
<![CDATA[Wahyu Widhiarso]]>
<![CDATA[ Jurnal Psikologi Vol 5, No 2 (2012) ]]>
Publisher : <![CDATA[Universitas Gunadarma ]]>
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<![CDATA[Eksplorasi tipologi individu berdasarkan respons mereka pada alat ukur kini memungkinkandilakukan sejalan dengan munculnya teknik-teknik mutakhir di bidang psikometri. Salah satunyaadalah analisis kelas laten. Penelitian ini menerapkan teknik tersebut untuk mengeksplorasiadanya tipologi unik individu pada konstruk kepribadian lima faktor. Respons individu (N=397)pada skala kepribadian hasil adaptasi dari BFI-44 dapat dimodelkan menjadi 2 dan 3 kelas.Faktor emosi stabil menghasilkan 2 kelas sedangkan faktor ekstraversi, keramahan, ketelitian danketerbukaan menghasilkan 3 kelas. Perbandingan profil antar kelas pada tiap faktor kepribadianmenunjukkan adanya tipe-tipe unik individu. Tipe tersebut antara lain tipe aktif bicara pada faktorekstraversi, tipe keramahan dingin pada keramahan, tipe ketelitian tidak terorganisasi pada faktorketelitian dan tipe imajinatif pada faktor keterbukaan. Adanya tipe-tipe unik ini menunjukkanbahwa antar indikator pengukuran kepribadian lima faktor pada responden dengan tipe unik tidakmemiliki ekuivalensi ukur. Tidak ekuivalennya antar indikator terlihat dari hanya indikatortertentu saja yang melekat pada individu. Hal ini berbeda dengan konstruk psikologi yang idealyaitu semua indikator melekat pada individu secara berjenjang. Dari besar, sedang hingga kecil.Tiap tipe unik individu ini didiskusikan lebih lanjut di pembahasan.Kata Kunci: Analisis kelas laten, Tipologi individu, Kepribadian lima faktor]]>
<![CDATA[Dampak Kesalahan Penetapan Indikator Efek dan Kausal terhadap Indeks Ketepatan dalam Pemodelan Persamaan Struktural ]]>
<![CDATA[Wahyu Widhiarso]]>
<![CDATA[ Jurnal Ilmiah Psikologi MIND SET Vol 3 No 02 (2012): Juni ]]>
Publisher : <![CDATA[Fakultas Psikologi Universitas Pancasila ]]>
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DOI: 10.35814/mind set.v3i02.271
<![CDATA[Psychometrics theory has divided two types characteristics of indicators: effect indicator (reflective) and indicator causal (formative). In the structural equation modeling (SEM) approach, these differences were operated on different figure of analysis. Effect indicator is indicated by the direction of arrows from latent construct to its indicators, whereas the causal is vice versa. this study aimed to compare fit indices between models that accommodate these differences, and did not. Data analysis was conducted on secondary data from three studies that measured individual level of stress. One study involving causal indicators and three studies involving effect indicators. Two models, model with the causal and effect indicator were fitted to the data. The analysis suggests that both models reveal high fit indices and match with expected criteria. However, the model which accommodated the indicator characteristics reveals higher fit indices. This study recommends that researcher should accommodate the characteristics of construct indicators when into model in order to obtain higher fit indices.]]>
<![CDATA[Eksplorasi Kemunculan Efek Metode dalam Tes Potensi Kemampuan Kognitif ]]>
<![CDATA[Wahyu Widhiarso]]>;
<![CDATA[Alifa Rahmi Khairunisa]]>
<![CDATA[ Gadjah Mada Journal of Psychology (GamaJoP) Vol 10, No 1 (2024) ]]>
Publisher : <![CDATA[Faculty of Psychology, Universitas Gadjah Mada ]]>
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DOI: 10.22146/gamajop.75080
<![CDATA[Skor tes individu dapat dipengaruhi oleh tiga sumber variasi yaitu konstruk ukur, metode pengukuran, dan eror pengukuran. Idealnya, pengaruh terhadap skor dalam sebuah tes didominasi oleh konstruk ukur. Namun, dalam beberapa kasus terdapat pengaruh dari metode pengukuran yang disebabkan oleh keunikan yang terkait dengan metode pengukuran dalam tes tersebut. Pengaruh dari keunikan ini disebut sebagai efek metode yang dapat memengaruhi validitas struktural suatu alat ukur. Penelitian ini mengeksplorasi efek metode pada Tes PAPS UGM Seri E menggunakan analisis faktor konfirmatori dengan model bifaktor (bifactor). Hasil analisis (N = 2.170) menunjukkan bahwa tidak terdapat efek metode dengan porsi yang cukup besar di dalam PAPS Seri E1 dan E2. Semua variasi skor didominasi oleh efek konstruk ukur daripada efek metode pengukuran yang ditunjukkan dengan nilai bobot faktor pada komponen lebih didominasi oleh konstruk ukur dibandingkan dengan metode pengukuran. Dapat disimpulkan bahwa skor yang didapatkan oleh peserta tes cenderung merepresentasikan kemampuan yang bersifat umum yaitu penalaran kognitif daripada kemampuan yang bersifat spesifik yang terkait dengan media pengukuran.]]>
<![CDATA[APLIKASI MODEL RASCH CAMPURAN DALAM MENGEVALUASI PENGUKURAN HARGA DIRI ]]>
<![CDATA[Widhiarso, Wahyu]]>
<![CDATA[ Jurnal Penelitian dan Evaluasi Pendidikan Vol 17, No 1 (2013) ]]>
Publisher : <![CDATA[Graduate School, Universitas Negeri Yogyakarta ]]>
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DOI: 10.21831/pep.v17i1.1367
<![CDATA[Penelitian ini bertujuan untuk mengeksplorasi keberadaan kelompok responden yang menyebabkan estimasi parameter butir melalui pemodelan Rasch tidak invarian pada keseluruhan responden. Teknik analisis yang dipakai adalah model Rasch campuran yang merupakan penggabungan antara Model Rasch dan analisis kelas laten. Dengan menggunakan data hasil pengukuran harga diri didapatkan hasil analisis bahwa keseluruhan responden penelitian sebanyak 2.987 dapat dikategorikan menjadi tiga kelas berdasarkan pola respons mereka pada skala. Hasil estimasi parameter butir pada responden pada masing-masing kelas dengan menggunakan model kredit parsial menunjukkan bahwa ketiga kelas memiliki parameter butir yang berbeda. Dua kelas relatif sesuai dengan model, sedangkan satu kelas tidak sesuai karena responden pada kelas tersebut merespons skala dengan cara yang unik. Keberadaan responden dengan respons unik ini relatif kecil (12,5%) sehingga tidak mengganggu estimasi parameter pada keseluruhan butir.Kata kunci: model Rasch campuran, parameter butir, kelas responden______________________________________________________________RASCH MIXED MODEL APPLICATION IN EVALUATING THE MEASUREMENT OF SELF-ESTEEMAbstract This study aimed to explore the existence of groups of items that cause Estimation of item parameters using Rasch modeling was not invariant for all respondents. Mixed Rasch model which is the combination between Rasch Models and Latent Class Analysis was employed. By using data from measuring self-esteem found for overall respondents (N=2987) can be categorized into three classes based on their item respons patterns on entire scale. Results based on estimation of item parameters to the respondents in each class using the Partial Credit Model found that each class has different item parameters. Two classes supported the model while the other class did not; due to respondents on this class give a response on the scale in a unique way. The proportion of the respondents with a unique response is relatively small (12,5%) therefore they do not much interfere the estimation of item parameters on the overall items.Keywords: mixed rasch model, Item Estimation Parameter, Class]]>
<![CDATA[The effectiveness of item parceling to increase the model fit: A case study of PAPs ]]>
<![CDATA[Hapsari, Anindita Dwi]]>;
<![CDATA[Widhiarso, Wahyu]]>
<![CDATA[ Jurnal Penelitian dan Evaluasi Pendidikan Vol 27, No 1 (2023) ]]>
Publisher : <![CDATA[Graduate School, Universitas Negeri Yogyakarta ]]>
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DOI: 10.21831/pep.v27i1.49012
<![CDATA[The impact of item parceling to improve model fit indexes in confirmatory factor analysis has been on debate amongst psychometricians. In this study, the effectiveness of item parceling was examined using Tes Potensi Akademik Pascasarjana (PAPS) or Postgraduate Academic Potential Test in Universitas Gadjah Mada. Item parceling approach, second-order approach, and item-based approach of confirmatory factor analysis (CFA) were used for examination. Data were collected from a sample of 1374 postgraduate candidates in 2017. The result found that model fit indices such as the chi-squared test, comparative fit index, Tucker-Lewis index, and standardized root mean square residual were improved in the item parceling approach when compared to item based approach. Interestingly, the root mean square error of approximation were deteriorating in the item parceling approach. The finding of this study suggested that model dimensionality and sample size should be carefully considered when using the item parceling approach.]]>
<![CDATA[PENGUJIAN KESETARAAN PRESISI DAN SKALA UKUR BUTIR-BUTIR PADA SKALA PSIKOLOGI ]]>
<![CDATA[Wahyu Widhiarso]]>
<![CDATA[ Jurnal Kawistara Vol 2, No 1 (2012) ]]>
Publisher : <![CDATA[Universitas Gadjah Mada ]]>
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DOI: 10.22146/kawistara.3954
<![CDATA[The purpose of this study is to identify the measurement models that appropriate to measure psychologicalattributes toward psychological scale. Measurement models that includes is parallel, tau-equivalent andcongeneric models. Each model has different assumptions according to each item’s precision and scalemeasuring on psychological scale. As a sample of psychological scale, this study uses Child DepressionInventory (CDI) and Rosenberg Self-Esteem Scale. Data was taken from the 3.183 adolescents from juniorand senior high school in DIY, with ages ranging from 15 to 19. Both scale were tested using the HotellingT2 test for testing the equality of mean and variance as well as confi rmatory factory analysis throughstructural equation modeling to rest the accuracy of the model. This study found that psychological scalestend to fi t better with the congeneric model than others. The congeneric model is one which assumesthat every item in a scale has a different precision and scale of measure. Therefore, it is concluded thatitems tend to be measured in psychological attributes, with relative variation.]]>
