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Analyzing data from a national assessment of educational achievement /
This is the fourth and last volume in the set 'National Assessments of Educational Achievement.' Effective assessment of the performance of educational systems is a key component in developing policies to optimize the development of human capital around the world. The five books in the Nat...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Washington, DC :
World Bank Group,
[2015]
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| Colección: | National assessments of educational achievement ;
v. 4. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; CONTENTS; PREFACE; ABOUT THE AUTHORS AND EDITORS; ACKNOWLEDGMENTS; ABBREVIATIONS; INTRODUCTION; Note; Part I: An Introduction to the Statistical Analysis of National Assessment Data; 1. THE DATABASE FOR ANALYSES; Saving the CD Files to Your Hard Drive or Server; Survey Instruments; TABLES; 1.1 Mathematics Test: Distribution of Items by Content Area and Process; Sampling Weights; 1.2 Abbreviated Questionnaire Descriptions; SPSS; EXERCISES; 1.1 Running Descriptive Statistics in SPSS and Saving the Files; EXERCISE FIGURES; 1.1.A: Weight Cases Dialog Box.
- 1.1.B: SPSS Descriptives Dialog BoxWesVar; Notes; 2. EXPLORING NATIONAL ASSESSMENT DATA USING SPSS; Measures of Central Tendency; Measures of Spread; Measures of Position; Measures of Shape; FIGURES; 2.1 Normal Distribution Showing Standard Deviation Units; 2.2 Examples of Distributions with Positive, Negative, and No Skews; Exploring a Data Set Using SPSS; 2.1 Running Explore in SPSS, Single Dependent Variable (One Level); EXERCISE TABLES; 2.1.A: Case-Processing Summary; 2.1.B: Descriptive Statistics; 2.1.A: Stem-and-Leaf Plot for Mathematics Scale Scores.
- 2.1.B: Box Plot for Mathematics Scale Scores2.2 Running Explore in SPSS, Single Dependent Variable (More Than One Level); 2.2.A: Box Plots for Mathematics Scale Scores by Region; Notes; 3. AN INTRODUCTION TO WESVAR; Setting Up a Data File in WesVar; Adding Variable Labels; Computing Descriptive Statistics in WesVar; 3.1 Adding Variable Labels in WesVar; 3.1 Generating Descriptive Statistics in WesVar; 3.1.A: New WesVar Workbook; 3.1.B: Specifying Variables for Analysis in WesVar Descriptives; 3.1.C: Output from WesVar Descriptives; 3.1.D: Exporting a WesVar File.
- Calculating a Mean Score and Its Standard Error3.2 Computing a Mean Score and Its Standard Error in WesVar; 3.2.A: Specifying a Computed Statistic in a WesVar Table; 3.2.B: Output for WesVar Tables: Computing Mean Score; Computing Mean Scores and Standard Errors for Subgroups in the Population; 3.3 Computing Mean Scores and Standard Errors in WesVar, Four Regions; 3.3.A: WesVar Workbook before Computing Mean Scores by Region; Notes; 3.3.B: WesVar Output for Computing Mean Scores by Region; 4. COMPARING THE ACHIEVEMENTS OF TWO OR MORE GROUPS; Examining the Difference Between Two Mean Scores.
- 4.1 Evaluating the Difference between Two Mean Scores4.1.A: WesVar Workbook before Assessing the Difference between Two Mean Scores; 4.1.B: WesVar Output: Mean Mathematics Scores of Students with and without Electricity at Home; 4.1.C: WesVar Output: Mean Score Difference in Mathematics between Students with and without Electricity at Home; 4.1.A: Comparison of Mean Mathematics Scores of Students with and without Electricity at Home; Examining Differences Between Three or More Mean Scores; 4.2 Evaluating Differences among Three or More Mean Scores.