Understanding Test And Exam Results Statistically
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Understanding Test and Exam Results Statistically
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 help educational practitioners to do this part of their job properly, i.e., without making conceptual mistakes. The examples are cast in the school/classroom contexts, based on realistic rather than theoretical examples. “The strongest aspect of the work or author’s view is that the author can put himself in the shoes of teachers and make the work a very practical guide for teachers and school leaders. As a very experienced educator and researcher, the author knows very well about the knowledge skills that are essential for the professional development of teachers. He is able to explain the statistical and measurement concepts in plain language and with examples that are highly relevant to the target audience. In addition, the author also conveyed an important message to the target audience throughout the work... by pointing out the mistakes and misunderstandings of the interpretation of test scores and measurement design. The author reminds the audience about the importance of proper use of tests and test scores when teachers and school leaders make any education decisions, which has much implication on the professional integrity of teachers and school leaders.” Dr. Joyce Kwan, The Education University of Hong Kong, Hong Kong “This book covers all the statistical tools for analyzing educational data and provides examples to explain the ideas. Chapters 10-17 are practical data analysis in educational data that helps readers have a better understanding of the procedure to analyze the data.” Dr. Alpha Ling, The Education University of Hong Kong, Hong Kong “It looks like a very interesting book with attractive topics and practical problems in educational statistics. Though the topics remind me of the classic book How to Lie with Statistics, this book aims at preventing and correcting statistical misconceptions in educational context.” Dr. Zhu Ying, National Institute of Education, Nanyang Technological University, Singapore
Interpreting and Using Statistics in Psychological Research
Author: Andrew N. Christopher
language: en
Publisher: SAGE Publications
Release Date: 2016-08-30
This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.
World University Rankings: Statistical Issues And Possible Remedies
World university ranking started one and a half decades ago for the purpose of understanding what makes an excellent institution of higher education. Subsequent to the appearance of the Academic Ranking of World Universities at the Shanghai Jiaotong University, there soon emerged the QS World University Rankings and the Times Higher Education World University Rankings. These three ranking systems are considered the classics as they are the fore-runners, although no less than ten new systems have come to the arena.The various ranking systems adopt a common approach of weight-and-sum to process the indicator data. Each system, somewhat arbitrarily, decides on a set of indicators and assigns different weights to these, presumably reflecting their relative importance. This simple (and simplistic) approach meets well common sense. And, in fact, much of the discussion on world university rankings is conducted at the commonsensical level.However, analyses conducted in the recent years uncovered several problems of the prevalent approach: spurious precision, mutual compensation, weight discrepancy, indicator redundancy, etc., which render the overall scores and ranking suspect in terms of validity. These are due to systems ignoring the fact that world university rankings are a form of social measurement and therefore need be seen from this perspective.Moreover, rankings encourage competition and, in the highly competitive world of today, it is natural that institutional attention is focused on the ranking results. By now, the original purpose of world university ranking seems to have been overshadowed, and world university rankings look more like international academic contests, as though they are annual sports meets.This monograph collects together many articles pertaining to the identified measurement and statistical issues of world university rankings and suggests remedies to make ranking results more trustworthy.