User Guide for the TIMSS International Database.pdf - TIMSS and ...

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P E R F O R M I N G A N A L Y S E S C H A P T E R 9 Figure 9.14 SPSS Control Statements for Performing Analyses with Teacher-Level Variables (EXAMPLE2.SPS) get file = "btmall1.sys" / keep = idcntry idteach idlink btbgtaug. recode btbgtaug ( 0 thru 5 = 1) ( 6 thru 10 = 2) (10 thru 20 = 3) (20 thru 90 = 4) (98,99 = sysmis). sort cases by idcntry idteach idlink. save outfile = teacher. get file = "blgall1.sys" / keep = idcntry idteach idlink idgrader jkindic jkzone matwgt bimatscr. select if matwgt > 0 and idgrader=2. sort cases by idcntry idteach idlink. save outfile= studteac. * Now merge the two files. match files / file=studteac / table=teacher / by idcntry idteach idlink. select if not(missing(btbgtaug)). save outfile = merged. * Define the format for the variables used. value labels idgrader 1 "Seventh Grade " 2 "Eighth Grade" / btbgtaug 1 " 0 to 5 years " 2 " 6 to 10 years" 3 "11 to 20 years " 4 "Over 20 years " / idcntry 036 = "Australia " 040 = "Austria " 056 = "Belgium (Fl) " 057 = "Belgium (Fr) " 100 = "Bulgaria " 124 = "Canada " 170 = "Colombia " 196 = "Cyprus " 200 = "Czech Republic " 208 = "Denmark " 826 = "England " 250 = "France " 280 = "Germany " 300 = "Greece " 344 = "Hong Kong " 348 = "Hungary " 352 = "Iceland " 364 = "Iran, Islamic Rep. " 372 = "Ireland " 376 = "Israel " 380 = "Italy " 392 = "Japan " 410 = "Korea " 414 = "Kuwait " 428 = "Latvia (LSS) " 440 = "Lithuania " 528 = "Netherlands " 554 = "New Zealand " 578 = "Norway " 608 = "Philippines " 620 = "Portugal " 642 = "Romania " 643 = "Russian Federation " 827 = "Scotland " 702 = "Singapore " 201 = "Slovak Republic " 890 = "Slovenia " 717 = "South Africa " 724 = "Spain " 752 = "Sweden " 756 = "Switzerland " 764 = "Thailand " 840 = "United States" . * Now use the macro to get the results. include "jack.sps". jack cvar = idcntry idgrader btbgtaug / dvar = bimatscr / njkr = 75 / jkz = jkzone / jki = jkindic / wgt = matwgt / sort cases by idcntry idgrader. temporary. select if idgrader = 2. report format=list automatic / var = btbgtaug (label) matwgt mnx mnx_se pct pct_se / break = idcntry idgrader. T I M S S D A T A B A S E U S E R G U I D E 9 - 2 9
C H A P T E R 9 P E R F O R M I N G A N A L Y S E S As before, we first proceed to identify the variables relevant to the analysis in the corresponding files, and review the documentation on the specific national adaptations to the questions of interest (Supplements 1, 2, 3). Since we are using teacher-level variables we need to look into the teacher file and the Student-Teacher Linkage files to find the variables. From the mathematics teacher file we extract the variable that contains the information on the mathematics teachers' years of experience (BTBGTAUG), the variable that identifies the country (IDCNTRY) and the two variables that will allow us to link the teacher information to the student data (IDTEACH and IDLINK). In Population 2 there is one teacher file for the mathematics teachers and a second teacher file for the science teachers. If the user wants to look only at mathematics teachers, then the user will need to use the mathematics teacher file (BTM1); if the interest is in the science teachers then the user will need to use the science teacher file (BTS1); but if the interest is in the mathematics and science teachers combined, both these files need to be combined by appending or adding one file to the other. In doing so it is important to keep in mind that although there are variables in common between these two files, most of them are not. On the other hand, there is only one file for the Population 1 teachers where both mathematics and science teacher variables are found (ATG1). In each population there is only one student-teacher-link file where the sampling and achievement information is found. In our example, our teacher variable of interest (years of teaching experience) is a continuous variable. However, we want to categorize the teachers into 4 groups (0 to 5 years experience, 6 to 10 years experience, 11 to 20 years experience, and More than 20 years experience). While reading the Teacher file we use commands in SAS or SPSS to collapse the different values into four categories and we label them accordingly. We then proceed to read the necessary information from the Student-Teacher Linkage file. From this file we keep the country identification (IDCNTRY) and the two variables that will allow us to link the student information to the teacher data (IDTEACH and IDLINK). We also keep the variable that indicates the grade for the student (IDGRADER), the mathematics achievement score (BIMATSCR), and the information necessary to compute the replicate weights for estimating the JRR standard error. We select the variable that will give us the correct weight for mathematics teacher variable (MATWGT). If the user is interested in looking at the science teachers, then the weight variable that should be selected is SCIWGT, and TCHWGT if the user is interested in analyzing both mathematics and science teachers combined. The two files are then merged or matched into one file that will then be used with the JACK macro. These two files will be merged using the variables IDCNTRY, IDTEACH, and IDLINK. The combination of values for these three variables is unique within the teacher data, but is repeated in the Student-Teacher Linkage file as many times as the specific teacher teaches students in a class. After the files are merged, the macro JACK is used and the results can be printed. Selected results from this analysis are shown in Figure 9.15 and Figure 9.16. 9 - 3 0 T I M S S D A T A B A S E U S E R G U I D E
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International Association for the E
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Contents Chapter 1: Overview of TIM
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C O N T E N T S 7.3 Codebook Files
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C O N T E N T S Table 7.7 Classific
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Chapter 1 Overview of TIMSS and the
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I N T R O D U C T I O N C H A P T E
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Chapter 2 TIMSS Instruments and Boo
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I N S T R U M E N T S C H A P T E R
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Chapter 3 Sampling and Sampling Wei
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S A M P L I N G C H A P T E R 3 3.5
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C H A P T E R 4 D A T A C O L L E C
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C H A P T E R 6 A C H I E V E M E N
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C H A P T E R 7 D A T A B A S E F I
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