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Statistical Analyses for Language Testers
(Englisch)
R. Green

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Produktbeschreibung

Rita Green is an international consultant and trainer as well as an EALTA (European Association for Language Testing and Assessment) Expert Member. She has trained teams in numerous testing projects around the world including those in the fields of education, diplomacy, air traffic control and the military. Rita has directed courses in statistical analysis for over 15 years and runs a regular course in statistical analysis for language testers at Lancaster University, UK.


Provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers using IBM SPSS, Winsteps and Facets. It contains clearly-worked out examples for each analysis with detailed explanations.
Foreword; J. Charles Alderson 1. Data Entry 2. Checking and Correcting Data Files 3. Item Analysis 4. Deillegalscriptive Statistics 5. Analysing Test Taker Feedback 6. Comparing Performance I: Means, Scatterplots and Correlations 7. Comparing Performance II: Parametric and Non-Parametric Analyses 8. Comparing Performance III: ANOVA 9. Factor Analysis 10. Creating a Control File and Convergence Table 11. Analysing the Convergence Table and Variable Map 12. Item and Person Statistics 13. Distracter Analysis 14. Creating and Running a Specifications File 15. Analysing the Iteration Report and Vertical Ruler 16. Raters and Item Measurement Reports Appendices

'SALT by Rita Green provides a concise and focused yet exhaustive and practical introduction to the use of statistical software packages that will be appreciated by language teachers and test developers, especially those who have little or no experience of dealing with statistics.' - Linguist





'SALT by Rita Green provides a concise and focused yet exhaustive and practical introduction to the use of statistical software packages that will be appreciated by language teachers and test developers, especially those who have little or no experience of dealing with statistics.' - Linguist

Rita Green is an international consultant and trainer as well as an EALTA (European Association for Language Testing and Assessment) Expert Member. She has trained teams in numerous testing projects around the world including those in the fields of education, diplomacy, air traffic control and the military. Rita has directed courses in statistical analysis for over 15 years and runs a regular course in statistical analysis for language testers at Lancaster University, UK.


Über den Autor



Rita Green is an international consultant and trainer as well as an EALTA (European Association for Language Testing and Assessment) Expert Member. She has trained teams in numerous testing projects around the world including those in the fields of education, diplomacy, air traffic control and the military. Rita has directed courses in statistical analysis for over 15 years and runs a regular course in statistical analysis for language testers at Lancaster University, UK.


Inhaltsverzeichnis

Foreword; J. Charles Alderson 1. Data Entry 2. Checking and Correcting Data Files 3. Item Analysis 4. Deillegalscriptive Statistics 5. Analysing Test Taker Feedback 6. Comparing Performance I: Means, Scatterplots and Correlations 7. Comparing Performance II: Parametric and Non-Parametric Analyses 8. Comparing Performance III: ANOVA 9. Factor Analysis 10. Creating a Control File and Convergence Table 11. Analysing the Convergence Table and Variable Map 12. Item and Person Statistics 13. Distracter Analysis 14. Creating and Running a Specifications File 15. Analysing the Iteration Report and Vertical Ruler 16. Raters and Item Measurement Reports Appendices


Klappentext

Provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers using IBM SPSS, Winsteps and Facets. It contains clearly-worked out examples for each analysis with detailed explanations.




Provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers using the programs IBM SPSS, Winsteps and Facets



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