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 9.5 Performing Analyses with Teacher-Level Variables When analyzing the teacher data, it is first necessary to link the students with their corresponding teachers. Each student record in the Student Background data file can contain a link to as many as six different teachers in the Teacher Background data file. To facilitate the linking between students and their teachers in the teacher file, the Student-Teacher Linkage file was created and is part of the International Database. This file is called ALG1 in Population 1 and BLG1 in Population 2. The Student- Teacher Linkage file contains one record for each student-by-teacher combination, with the corresponding identification variables. Each record also contains the number of mathematics and science teachers for the student and a set of weights that can be used when conducting analyses with these data. In order to simplify the merging process for analyses that link teacher variables to student achievement, student achievement scores, sampling weights, and JRR replication information have been added to the Student-Teacher Linkage file. For such analyses it is necessary only to merge the Teacher Background file with the Student-Teacher Linkage file. For analyses linking teacher variables to other student variables, it is necessary also to merge the Student Background files to the other two. Conducting analyses with the teacher data requires some extra steps that are not required when analyzing the student or school background data. The code in SAS and SPSS for the example that follows is presented in Figures 9.13 and Figure 9.14. For our example, we want to find out about the years of experience of the mathematics teachers that teach the eighthgrade students in each of the TIMSS countries. In particular, we want to find out what percent of eighth-grade students are taught by teachers of specific groups based on their years of experience, and the mean achievement in mathematics of the students taught by those teachers. These are the results that are presented in Figure 9.2 earlier in this chapter. The TIMSS teacher files do not contain representative samples of teachers within a country. Rather, these are the teachers for a representative sample of students within a country. Therefore, it is appropriate that statements about the teachers be made only in terms of how many students are taught by teachers of one kind or another, and not in terms of how many teachers in the country do one thing or another. T I M S S D A T A B A S E U S E R G U I D E 9 - 2 7
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 Figure 9.13 SAS Control Statements for Performing Analyses with Teacher-Level Variables (EXAMPLE2.SAS) options nocenter; * Read the variables from the Mathematics Teacher file and sort by merge variables; data teacher; set btmall1 (keep=idcntry idteach idlink btbgtaug); if btbgtaug >= 0 & btbgtaug 5 & btbgtaug 10 & btbgtaug 20 & btbgtaug 0 and nmiss(btbgtaug) = 0; * Define the format for the variables used; proc format library=work; value grade 1 = "Seventh Grade " 2 = "Eighth Grade"; value exper 1 = " 0 to 5 years " 2 = " 6 to 10 years" 3 = "11 to 20 years " 4 = "Over 20 years "; value country 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 JACK to get the results; %include "jack.sas"; %jack (matwgt,jkzone,jkindic,75,idcntry idgrader btbgtaug,bimatscr,merged); proc print data=final noobs; by idcntry idgrader; where idgrader=2; var btbgtaug N matwgt mnx mnx_se pct pct_se; format idcntry country. btbgtaug exper. idgrader grade.; 9 - 2 8 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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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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