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

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Chapter 9 Performing Analyses with the TIMSS Data: Some Examples This chapter presents some basic examples of analyses that can be performed with the TIMSS International Database using the sampling weights and scores discussed in previous chapters. It also provides details on some SPSS and SAS code to conduct such analyses, and the results of these analyses. Although the analyses presented here are simple in nature, they are designed to familiarize the user with the different files and their structure, as well as the relevant variables that need to be included in most analyses. All the analyses presented here compute the percent of students in specified subgroups, the mean achievement in mathematics for each subgroup, and the corresponding standard errors for the percent and mean statistics. The analyses presented in this chapter, based on student and teacher data, replicate analyses that are included in the TIMSS mathematics international report. Two tables from the international report (Mathematics Achievement in the Middle School Years), shown in Figure 9.1 and Figure 9.2, are replicated in Examples 1 and 2 in this chapter. The user is welcomed to compare the results from these analysis to the tables in the reports, and is encouraged to practice analyzing the TIMSS data by trying to replicate some of the tables that are presented in the international reports. 1 In our examples we use macros written for SAS and SPSS that can be used to perform any of the analyses that are described below. These are general subroutines that can be used for many purposes, provided the user has some basic knowledge of the SAS or SPSS macro language. The user with some programming experience in either one of these statistical packages will be able to make the necessary modifications to the macros to obtain the desired results. When using these macros, the code assumes that the user has already created a system file in SPSS, or a data set if using SAS, that contains the variables necessary for the analysis. As part of this chapter we also describe the control files included in the CD that can be used to create SAS and SPSS data set system files. 1 Documentation regarding the computational methods used to obtain any derived variables included in the international reports is presented in Supplement 4. T I M S S D A T A B A S E U S E R G U I D E 9 - 1
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 9.1 Sample Table for Student-Level Analysis Taken From the TIMSS International Report “Mathematics Achievement in the Middle School Years” 116 C H A P T E R 4 Table 4.10 Students' Reports on the Hours Spent Each Day Watching Television and Videos Mathematics - Upper Grade (Eighth Grade*) Country Less than 1 Hour 1 to 2 Hours 3 to 5 Hours More than 5 Hours Percent of Students Mean Achievement Percent of Students Mean Achievement Percent of Students Mean Achievement Percent of Students Mean Achievement Australia 24 (0.9) 539 (6.0) 41 (0.8) 539 (4.1) 27 (0.8) 528 (3.8) 9 (0.6) 487 (5.5) Austria 25 (1.4) 540 (5.4) 53 (1.1) 546 (4.2) 17 (1.0) 539 (5.2) 5 (0.6) 497 (8.6) Belgium (Fl) 24 (1.2) 580 (6.7) 52 (1.2) 575 (6.2) 19 (1.0) 535 (7.1) 5 (0.5) 514 (12.1) Belgium (Fr) 33 (1.3) 536 (4.2) 44 (1.8) 536 (4.9) 17 (1.3) 522 (4.0) 6 (1.0) 445 (9.0) Canada 22 (0.7) 522 (2.9) 46 (0.8) 534 (3.5) 25 (0.7) 532 (3.0) 7 (0.6) 504 (5.2) Colombia 31 (1.5) 384 (4.9) 39 (1.2) 397 (3.3) 20 (1.2) 391 (5.2) 11 (1.0) 374 (5.3) Cyprus 25 (1.1) 466 (4.4) 45 (1.1) 486 (2.7) 21 (0.8) 479 (3.7) 9 (0.7) 441 (5.7) Czech Republic 15 (0.8) 556 (7.5) 45 (1.2) 575 (6.2) 31 (1.2) 562 (4.3) 9 (0.8) 531 (8.9) Denmark 28 (1.1) 499 (3.9) 42 (1.2) 507 (4.0) 22 (1.0) 510 (4.5) 8 (0.7) 488 (6.0) England 20 (1.3) 500 (8.1) 37 (1.2) 515 (3.9) 31 (1.2) 516 (3.7) 11 (0.9) 481 (6.1) France 42 (1.3) 546 (3.9) 45 (1.1) 539 (2.9) 9 (0.7) 532 (5.5) 4 (0.5) 494 (10.8) Germany 31 (1.0) 510 (6.2) 47 (1.1) 517 (4.5) 16 (0.8) 511 (5.9) 6 (0.6) 467 (7.4) Greece 32 (0.9) 486 (3.5) 42 (0.7) 489 (3.7) 17 (0.7) 486 (4.9) 9 (0.5) 470 (5.7) Hong Kong 22 (0.9) 582 (7.7) 39 (0.9) 599 (6.8) 28 (1.0) 599 (6.5) 11 (0.8) 556 (9.1) Hungary 11 (0.7) 550 (6.2) 41 (1.1) 552 (4.0) 33 (0.9) 537 (3.9) 15 (1.0) 496 (5.2) Iceland 24 (1.3) 475 (7.4) 47 (1.3) 494 (4.5) 22 (1.2) 498 (5.7) 7 (0.8) 473 (11.8) Iran, Islamic Rep. 32 (1.3) 421 (3.1) 46 (0.9) 434 (2.9) 17 (0.9) 438 (4.1) 5 (0.6) 425 (7.9) Ireland 20 (0.8) 517 (6.4) 51 (1.1) 539 (5.2) 23 (0.8) 531 (5.3) 5 (0.5) 486 (8.5) Israel 9 (1.4) 506 (17.0) 33 (2.1) 536 (7.0) 44 (1.7) 525 (5.4) 14 (1.2) 505 (7.8) Japan 9 (0.5) 606 (5.7) 53 (0.9) 615 (2.1) 30 (0.8) 596 (3.4) 9 (0.5) 569 (5.1) Korea 32 (1.0) 612 (4.6) 40 (1.0) 618 (3.4) 20 (0.8) 595 (5.3) 7 (0.6) 570 (6.9) Kuwait 39 (1.7) 386 (2.9) 38 (1.3) 398 (3.3) 14 (1.2) 400 (3.8) 9 (0.8) 384 (4.1) Latvia (LSS) 16 (1.0) 474 (4.4) 44 (1.1) 500 (3.7) 29 (1.2) 509 (4.2) 10 (0.7) 475 (5.1) Lithuania 12 (0.7) 469 (6.2) 44 (1.3) 480 (4.6) 32 (1.2) 483 (4.0) 12 (0.9) 472 (5.8) Netherlands 17 (1.8) 544 (14.0) 47 (1.7) 556 (7.0) 27 (1.5) 529 (6.3) 9 (0.9) 496 (7.3) New Zealand 24 (1.0) 506 (6.4) 38 (0.9) 521 (4.8) 26 (0.9) 510 (4.7) 12 (0.8) 474 (5.7) Norway 15 (0.7) 508 (4.2) 48 (1.0) 509 (2.5) 30 (1.0) 503 (3.7) 7 (0.4) 470 (6.0) Portugal 27 (1.0) 450 (3.3) 48 (0.9) 458 (2.9) 20 (0.8) 460 (3.3) 5 (0.5) 440 (5.3) Romania 38 (1.4) 475 (5.6) 39 (1.2) 489 (5.5) 16 (0.9) 495 (5.6) 8 (0.7) 470 (7.7) Russian Federation 12 (1.0) 515 (6.9) 42 (1.4) 538 (5.9) 32 (1.0) 547 (4.8) 14 (0.9) 535 (7.5) Scotland 15 (0.7) 488 (7.2) 43 (1.0) 504 (6.9) 31 (1.0) 508 (5.9) 11 (0.7) 472 (4.8) Singapore 7 (0.6) 657 (7.2) 50 (1.1) 650 (5.2) 37 (1.2) 636 (5.2) 6 (0.5) 619 (8.6) Slovak Republic 14 (0.7) 561 (7.4) 47 (1.0) 550 (3.5) 28 (0.9) 547 (4.1) 11 (0.8) 523 (5.6) Slovenia 23 (1.1) 546 (4.1) 54 (1.1) 541 (3.4) 19 (0.9) 540 (4.7) 4 (0.4) 518 (9.9) Spain 33 (1.2) 481 (3.0) 46 (1.0) 494 (2.4) 17 (0.8) 489 (3.9) 4 (0.5) 464 (5.1) Sweden 16 (0.7) 518 (4.9) 51 (0.9) 528 (3.3) 27 (0.8) 514 (3.7) 6 (0.5) 478 (5.5) Switzerland 45 (1.5) 556 (4.1) 44 (1.3) 543 (3.2) 9 (0.7) 528 (6.6) 2 (0.2) ~ ~ Thailand 28 (1.4) 510 (4.7) 46 (1.0) 524 (6.4) 19 (1.1) 540 (7.3) 8 (0.7) 521 (6.9) United States 22 (0.8) 504 (5.7) 40 (0.9) 513 (5.1) 25 (0.6) 501 (4.2) 13 (1.0) 461 (4.6) *Eighth grade in most countries; see Table 2 for more information about the grades tested in each country. ( ) Standard errors appear in parentheses. Because results are rounded to the nearest whole number, some totals may appear inconsistent. Countries shown in italics did not satisfy one or more guidelines for sample participation rates, age/grade specifications, or classroom sampling procedures (see Figure A.3). Background data for Bulgaria and South Africa are unavailable. Because population coverage falls below 65%, Latvia is annotated LSS for Latvian Speaking Schools only. A tilde (~) indicates insufficient data to report achievement. SOURCE: IEA Third International Mathematics and Science Study (TIMSS), 1994-95. 9 - 2 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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C H A P T E R 5 S C A L I N G 5.6 L
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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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