Understanding Test and Exam Results Statistically

Part I. Statistical Interpretation of Test/Exam Results

1. On Average: How Good Are They?
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2. On Percentage: How Much Are There?
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3. On Standard Deviation: How Different Are They?
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4. On Difference: Is that Big Enough?
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5. On Correlation: What Is Between Them?
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6. On Regression: How Much Does It Depend?
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7. On Multiple Regression: What Is the Future?
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8. On Ranking: Who Is the Fairest of Them All?
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9. On Association: Are They Independent?
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Part II. Measurement Involving Statistics

10. On Measurement Error: How Much Can We Trust Test Scores?
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11. On Grades and Marks: How not to Get Confused?
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12. On Tests: How Well Do They Serve?
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13. On Item-Analysis: How Effective Are the Items?
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14. On Reliability: Are the Scores Stable?
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15. On Validity: Are the Scores Relevant?
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16. On Consequences: What Happens to the Students, Teachers, and Curriculum?
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17. On Above-Level Testing: What’s Right and Wrong with It?
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18. On Fairness: Are Your Tests and Examinations Fair?
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Avainsanat: Education, Assessment, Testing and Evaluation, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law, Teaching and Teacher Education