How to EasyEstimation EasyEstGRM EasyNominal Ryuichi Kumagai Tohoku University 2013/04/30 1 1. Run “EasyEstimation.exe” Select options. 2013/04/30 2 2.1 Check unidimensionality 1. Drag & Drop “Data File”. Data File is “txt format”. See the attached “SampleData.dat”. 2. Input Settings - Column of ID located. (“1” in SampleData) - Number of Characters of ID. (“5” in SampleData) - Column of Response located. (“7” in SampleData) - Character of Omit response. (initial value “P” ) 3. Click “Read Data” button. Output File is named automatically. (Initial value is “Data File name + OneF.csv”) You can change that name directly. 2013/04/30 3 2.2 Check unidimensionality If you want to change ItemID, Drag & Drop “ItemID File” here. “ItemID File” is text file that recorded one ItemID per one line. (See and rewrite the attached “ItemID.dat”.) 2013/04/30 2. Click “OK” button. 1. Select items which you use in analysis. - Click item directly to change “USE” or “Not USE”. - Four buttons are available. 4 2013/04/30 2.3 Check unidimensionality If data format is appropriate , it displays that "OK" and number of items. 2013/04/30 1. Click “Start !” button. 5 2.4 Check unidimensionality Scree plot form tetrachoric matrix. Output File [Basic Statistics] itemID, Prob., P.BIS item001, 0.57800, 0.48927 item002, 0.78100, 0.47749 ……… Mean of Test, 11.80700 SD of Test , 4.34347 alpha , 0.84870 [Eigen Value] Number, EigenValue Eigen00001, 8.97742 Eigen00002, 0.98833 Eigen00003, 0.93806 2013/04/30 6 3.1 Estimation item parameters 1. Drag & Drop “Data File”. Data File is “txt format”. See the attached “SampleData.dat” or “SampleDataMG.dat” ( multi group file). This part is same for “check unidimensionality”. 2. Select the model. - 1-, 2-, 3- parameter logisitic model. Option of Multiple Groups. - Number of Groups. (“2” in “SampleDataMG.dat”) - Column of Group Variable. (“7” in “SampleDataMG.dat”) - Digits of Group Variable. (“1” in “SampleDataMG.dat”) 3. Click “READ DATA” button. Output File is named automatically. (Initial value is “Data File name + Result.csv”) You can change that name directly. 2013/04/30 : Check “Output Parameter File”. Output to “Data File name + Para.csv”. Recommend 7 3.2 Estimaton item parameters If you want to change ItemID, Drag & Drop “ItemID File” here. “ItemID File” is text file that recorded one ItemID per one line. (See and rewrite the attached “ItemID.dat”.) If you want to fix the item parameter, Drag & Drop “ItemFIX File” here. “ItemFIx File” is same format for item parameter file. (See and rewrite the attached “ItemFIX.dat”.) Item parameter are fixed. 1. Select items which you use in analysis. - Click item directly to change “USE” or “Not USE”. - Four buttons are available. 2. Click “OK” button. 2013/04/30 8 3.3 Estimation item parameters If data format is appropriate , it displays that "OK" and number of items. 1. Click “Start !” button. 2013/04/30 9 3.4 Estimation item parameters Result File itemID, slope, slopeSE, location,locationSE, asymptote, asymSE Item001, 0.61801, 0.05039, -0.36379, 0.07072, 0.00000, 0.00000 Item002, 0.74631, 0.06211, -1.29263, 0.09510, 0.00000, 0.00000 ……… [Post Distribution] Group 1 theta, prob. -3.97462,0.0000453642 -3.70925,0.0001137232 ……… [Summary] ** P.BIS,BIS: The focal item data is not contained in total score. itemID, tried, PCT, P.BIS, BIS Item001, 1000, 0.57800, 0.39551, 0.49921 ……… Item parameter File Item001, 0.61801, Item002, 0.74631, Item003, 1.08217, Item004, 1.20555, ……… 2013/04/30 -0.36379, -1.29263, 0.26018, 1.22252, 0.00000 0.00000 0.00000 0.00000 10 4.1 Estimation examinees parameters 1. Drag & Drop “Data File”. Data File is “txt format”. See the attached “SampleData.dat”. This part is same for “check unidimensionality”. 3. Select the method of estimation. 2. Drag & Drop “Item parameter File”. Item parameter file is created by 3.1 Estimation item parameters section. 2013/04/30 11 4.2 Estimation examinees parameters Methods. MLE - Maximum Likelihood Estimation. - Option “Correct to All “1” (or “0”) examinees” . When you check this option, item which has most highest slope parameter is treated as 0.5 correct and 0.5 wrong in all success (“1”) or fail (“0”) response examinees. MAP - Maximum A Posteriori - Prior distribution is Normal (You can change the Mean and Variance). EAP - Expected A Posteriori - Prior distribution is given by “Prior Distribution File (NDIST.dat)”. POPULATION - In this option, population distribution is estimated. - Prior distribution is Uniform. PV - Plausible value. 2013/04/30 12 4.3 Estimation examinees parameters 2. Select items which you use in analysis. 1. Click “Start !” button. 3. Click “OK” button. 2013/04/30 13 5.1 ICC and Test Information 1. Drag & Drop “Item parameter File”. Item parameter file is created by 3.1 Estimation item parameters section. 2. Select ICC (Item Characteristic Curve) or Test Information. 2013/04/30 14 5.1 ICC and Test Information Item Characteristic Curve Changing to next or previous item. This button outputs the csv file that is aimed to line graph in another software ( ex. Microsoft EXCEL). 15 2013/04/30 5.1 ICC and Test Information Test Information Select the items. Go to Graph Window. 2013/04/30 16 6 EasyEstGRM EasyEstGRM - Graded Response Model - GUI and usage rule are same for EasyEstimation. 2013/04/30 17 7.1 EasyNominal EasyNominal - Nominal Response Model - GUI and usage rule are same for EasyEstimation. (EasyNominal doesn’t have the following matters, a) checking unidimensionality b) ItemFix mode in parameter estimation.) 2013/04/30 18 7.2 Decision of theta direction in EasyNominal We have to decision theta direction in parameter estimation of nominal response model. Inversion of theta direction. 2013/04/30 19 Thank you ! Ryuichi Kumagai Graduate School of Education Tohoku University [email protected] 2013/04/30 20