Understanding Test and Exam Results Statistically An Essential Guide for Teachers and School Leaders /

• Κύριος συγγραφέας: Soh, Kaycheng (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
• Σειρά: Springer Texts in Education,
• Θέματα: Education.; Teaching.; Assessment.; Statistics.; Assessment, Testing and Evaluation.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Teaching and Teacher Education.

This book shares the goal of the classic text How to Lie with Statistics, namely, preventing and correcting statistical misconceptions that are common among practitioners, though its focus is on the educational context. It illustrates and discusses the essentials of educational statistics that will...

Πίνακας περιεχομένων:

• Part I Statistical Interpretation of Test/Exam Results
• 1 On Average: How good are they?
• 2 On Percentage: How much are there?
• 3 On Standard Deviation: How different are they?
• 4 On Difference: Is that big enough?
• 5 On Correlation: What is between them?
• 6 On Regression: How much does it depend?
• 7 On Multiple Regression: What is the future?
• 8 On Ranking: Who is the fairest of them all?
• 9 On Association: Are they independent?
• Part II Measurement Involving Statistics
• 10 On Measurement Error: How much can we trust test scores?
• 11 On Grades and Marks: How not to get confused?
• 12 On Tests: How well do they serve?
• 13 On Items: How effective are the items?
• 14 On Reliability: Are the scores stable?
• 15 On Validity: Are the scores relevant?
• 16 On Consequences: What happens to students, teachers, and curriculum?
• 17 On Above-Level Testing: What's right and wrong with it?
• 18 On Fairness: Are your tests and exams fair?.