scholarly journals PENYETARAAN VERTIKAL DENGAN PENDEKATAN KLASIK DAN ITEM RESPONSE THEORY PADA SISWA SEKOLAH DASAR

2015 ◽  
Vol 19 (1) ◽  
pp. 13-24
Author(s):  
Anak Agung Purwa Antara ◽  
Bastari Bastari

Penelitian ini bertujuan untuk mengetahui (1) akurasi metode linear dan ekipersentil pada pendekatan Klasik dan mean & mean dan mean & sigma pada pendekatan teori respons butir; (2) karakteristik tes prestasi belajar matematika model campuran kelas III, IV, V, dan VI Sekolah Dasar yang digunakan dalam penelitian ini; dan (3) perkembangan kemampuan siswa (θ) kelas III, IV, V, dan VI pada pelajaran matematika berdasarkan tes yang digunakan. Data penelitian adalah skor siswa pada ujian akhir semester tahun 2013 yang dikumpulkan dengan desain tes dengan butir bersama. Hasil penelitian menunjukkan bahwa, (1) Standart Error of Equating (SEE) metode ekipersentil 0,505116 dan metode linear 0,608, sedangkan Root Mean Square Different (RMSD) metode mean & sigma 0,344 dan metode mean & mean 0,394, perbedaan nilai SEE pada pendekatan Klasik dan RMSD pada pendekatan IRT sangat kecil sehingga kebermaknaannya masih perlu diteliti; (2) tes prestasi belajar matematika kelas III, IV, V, dan VI berturut-turut memiliki rerata location katagori sedang -0,070, -0,228, -0,324, -0,430, slope yang baik 0,537, 0,558, 0,639, 0,644, dan items fit statistics minimum 0,077, 0,052, 0,055, dan 0,198; (3) keempat metode penyetaraan memberikan informasi bahwa nilai θ meningkat seiring dengan meningkatnya peringkat kelas, dengan rerata θ kelas III, IV, V, dan VI berturut-turut sebesar -0,104, -0,076, 0,004, dan 0,173. Namun, kenaikan nilai tersebut sangat kecil sehingga kebermaknaannya masih perlu diteliti.Kata kunci: Metode penyetaraan, Tes model campuran ______________________________________________________________ VERTICAL EQUATING USING  CLASICAL METHOD AND ITEM RESPONSE THEORY IN ELEMENTARY SCHOOL STUDENTSAbstract The study was aimed at finding: (1) the accurate linear method and equipercentile method in Classic approach and mean&mean and mean & sigma method in IRT approach, (2) the characteristics of the mathematic mixed-model achievement test for elementary students grade III, IV, V, and VI used in this study, (3) the  progress of elementary students gade III, IV, V, and VI ability  (θ) in Mathematic based on the developed test. The data of this study were students’ scorer on final exams Elementary school 2013 collected with anchor test design. The result showed that: (1) Standard Error of Equating (SEE) within the linear method was 0.607 and ekipercentile method was 0.505116, while Root Mean Square Different (RMSD) within the mean&mean was 0.394 and mean&sigma method was 0.344. The differences between the value of SEE and RMSD was very little, therefore the meaningfulness needed further study; (2) the Mathematic achievement test for Grade III, IV, V, and VI had location in the middle category within the values respectively -0.070, -0.228, -0.324, -0.430, the good mean of slope 0.537, 0.558, 0.639, 0.644, and items fit statistics minimum 0.077, 0.052, 0.055, 0.198; (3) the four equation method provided information that θ increased in accordance with the increased of the class rank, with mean of the θ students Grade III, IV, V, and VI as 0.104, -0.076, 0.004, dan 0.173. But the increased of the θ value was relatively small, in that its meaningfulness also required further study. Keywords: equating method, mixed-model test

2020 ◽  
Vol 36 (2) ◽  
Author(s):  
Marle dos Santos Alvarenga ◽  
Thanise Sabrina Souza Santos ◽  
Dalton Andrade

This study aimed to validate a short version of the Disordered Eating Attitude Scale (DEAS-s). To this end, 2,902 adult individuals answered the original DEAS and informed age, weight, and height. Data were analyzed using the full-information factor analysis and Item Response Theory (IRT) analysis. Exclusion criteria retained items with adequate values of commonality and factor loadings. Estimation of IRT parameters, the Item Characteristic Curve (ICC), and test information guided the selection of the best quality items. The final model adjustment was evaluated using Root Mean Square Error of Approximation (RMSEA), Standardized Root Mean Square Residual (SRMSR), Comparative Fit Index (CFI), and Tucker-Lewis Index (TLI). The eating attitudes on each level of DEAS-s were described. The analyses were performed on R software and Microsoft Excel version 2013. As results, six items were excluded because of the low communalities and factor loadings, and one more was excluded because of an overlapping on the ICC. The remaining 17 items explained 0.53 of the total variance and had an adequate goodness-of-fit (RMSEA = 0.05; SRMSR = 0.05; CFI = 0.98; TLI = 0.98). The information test is more accurate between the scores 0 and +3. Scores higher or equal to 1.5 identified individuals with disordered eating attitudes. Women, older individuals, and those with a higher body mass index presented more disordered eating; thus, the one-dimensional and short version of DEAS showed a suitable adjustment and may contribute to properly evaluate disordered eating in diverse populations.


Psico-USF ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 337-347
Author(s):  
Mirela Dantas Ricarte ◽  
Fernanda Mírian França Silva ◽  
José Maurício Haas Bueno

Abstract Emotion regulation is a multiprocessual phenomenon capable of maintaining, intensifying or diminishing the emotional experience. This work investigated the psychometric properties of the Emotion Regulation Inventory for Learning Situations, using the Item Response Theory (IRT). Participants included 365 students from the 5th to the 9th grades of elementary school, with a mean age of 11.9 years (SD = 1.72), 57.5% female and 42.5% male. The results indicated problems in the instrument, such as small variability of the items and underutilized categories of response, and ways for the revision of the instrument, such as construction of more difficult items that require internal strategies, focused on the learning experience.


Author(s):  
Yousef A. Al Mahrouq

This study explored the effect of item difficulty and sample size on the accuracy of equating by using item response theory. This study used simulation data. The equating method was evaluated using an equating criterion (SEE, RMSE). Standard error of equating between the criterion scores and equated scores, and root mean square error of equating (RMSE) were used as measures to compare the method to the criterion equating. The results indicated that the large sample size reduces the standard error of the equating and reduces residuals. The results also showed that different difficulty models tend to produce smaller standard errors and the values of RMSE. The similar difficulty models tend to produce decreasing standard errors and the values of RMSE.


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