CATEGORY DATA (Studies in Science Literacy and Ability Test for Seventh Grade Student Secondary School) Diba, Farah Primary Author mixed material bibliography Bandung Magister Statistika Terapan, 2010 id Indonesia

xiv,; 70 hlm,;29 cm Ability is a construct that has value but can not be measured directly or latent variables. Evaluation of ability to also be done on the measuring tool that is a item. Quality of items can be known by item difficulty and item discrimination that are parameters on item response theory (IRT). While relationship between test result and ability expressed in a curve called item characteristic curve (ICC). If ability is influenced other factors in this study are school accreditation and gender, analysis of ability model can be use multiple indicators multiple causes (MIMIC) model. In this research, latent variables were observed through the indicator variables with category data so structural equation model (SEM) for categorical data method can be used for analysis. While the aim of this study is to determine the best model through estimation and comparison of parameters in IRT and MIMIC models. The result of data analysis are significant difference between IRT with MIMIC models. Evaluation of model results that IRT models is the best model for the estimation of parameters showed better result and the value of X2 and df is smaller than the MIMIC model. From the item characteristic curve is known about the item number three has a good quality because it can distinguish the ability of participants is better than any other items. From MIMIC model can be seen that for each school accreditation, the ability of female and male participants almost same although female participants was higher than male participants and for the school with low accreditation then the ability is lower. Diba, Farah Item response theory, item difficulty, item discri 519.5 Dib s Perpustakaan Universitas Padjadjaran Kementerian Riset Teknologi dan Pendidikan Tinggi 519.5 Dib s/R.14.25 01001100700341 Perpustakaan Pusat (REF.14.25) 519.5 Dib s 20%252Fscan0002.jpg.jpg 47439 2017-04-02 04:36:52 2018-05-18 09:45:02 machine generated