Understanding Test and Exam Results Statistically An Essential Guide
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 es
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Kaycheng Soh
Understanding Test and Exam Results Statistically An Essential Guide for Teachers and School Leaders
Springer Texts in Education
More information about this series at http://www.springer.com/series/13812
Kaycheng Soh
Understanding Test and Exam Results Statistically An Essential Guide for Teachers and School Leaders
123
Kaycheng Soh Singapore Singapore
ISSN 2366-7672 Springer Texts in Education ISBN 978-981-10-1580-9 DOI 10.1007/978-981-10-1581-6
ISSN 2366-7980
(electronic)
ISBN 978-981-10-1581-6
(eBook)
Library of Congress Control Number: 2016943820 © Springer Science+Business Media Singapore 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media Singapore Pte Ltd.
On Good (And Bad) Educational Statistics
In Lieu of a Preface There are three kinds of lies: lies, damned lies, and statistics.
We education people are honest people, but we often use test and examination scores in such a way that the effect is the same as lies, though without the intention but not without the falsity. We count 10 correctly spelt words as if we count 10 apples. We count correctly the chosen 10 words in an MCQ test as if we count 10 oranges. We count 10 correctly corrected sentences as if we count 10 pears. Then, we add 10 + 10 + 10 = 30. We then concluded that Ben has 30 fruits, called Language. We do the same for something we call Math (meat). And, something we call Art, or Music, or PE (snacks). We then add fruits, meat, and snacks and call the total Overall (edible or food). We then make important decision using the Overall. When doing this honestly, sincerely, and seriously, we also assume that there is no error in counting, be it done by this or another teacher (in fact, all teachers concerned). We also make the assumption, tacitly though, that one apple is as good as one orange, and one cut of meat as good as one piece of moa
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