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Gorard, Stephen; White, Patrick – Statistics Education Research Journal, 2017
In their response to our paper, Nicholson and Ridgway agree with the majority of what we wrote. They echo our concerns about the misuse of inferential statistics and NHST in particular. Very little of their response explicitly challenges the points we made but where it does their defence of the use of inferential techniques does not stand up to…
Descriptors: Statistical Inference, Statistics, Statistical Significance, Probability
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Nicholson, James; Ridgway, Jim – Statistics Education Research Journal, 2017
White and Gorard make important and relevant criticisms of some of the methods commonly used in social science research, but go further by criticising the logical basis for inferential statistical tests. This paper comments briefly on matters we broadly agree on with them and more fully on matters where we disagree. We agree that too little…
Descriptors: Statistical Inference, Statistics, Teaching Methods, Criticism
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White, Patrick; Gorard, Stephen – Statistics Education Research Journal, 2017
Recent concerns about a shortage of capacity for statistical and numerical analysis skills among social science students and researchers have prompted a range of initiatives aiming to improve teaching in this area. However, these projects have rarely re-evaluated the content of what is taught to students and have instead focussed primarily on…
Descriptors: Statistical Inference, Statistics, Teaching Methods, Social Science Research
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Foster, Colin; Martin, David – Teaching Statistics: An International Journal for Teachers, 2016
We analyse the "two-dice horse race" task often used in lower secondary school, in which two ordinary dice are thrown repeatedly and each time the sum of the scores determines which horse (numbered 1 to 12) moves forwards one space.
Descriptors: Statistics, Markov Processes, Probability, Statistical Significance
Northrup, Christian Glenn – ProQuest LLC, 2012
This study investigated the use of writing in a statistics classroom to learn if writing provided a rich description of problem-solving processes of students as they solved problems. Through analysis of 329 written samples provided by students, it was determined that writing provided a rich description of problem-solving processes and enabled…
Descriptors: Statistics, Problem Solving, Writing (Composition), Teaching Methods
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Lane-Getaz, Sharon J. – Statistics Education Research Journal, 2013
This mixed-methods study reports psychometric properties of the 34-item Reasoning about P-values and Statistical Significance (RPASS) scale. RPASS is being designed as a research tool to assess effects of teaching methods on students' inferential reasoning. During development (Phase I), two graphical scenarios and 12 items were added to the scale,…
Descriptors: College Students, Mixed Methods Research, Psychometrics, Rating Scales
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Das, Amaresh – International Education Studies, 2010
This paper makes an econometric testing of one-minute paper used as a tool to manage and assess instruction in my statistics class. One of our findings is that the one minute paper when I have tested it by using an OLS estimate in a controlled Vs experimental design framework is found to statistically significant and effective in enhancing…
Descriptors: Statistics, Teaching Methods, Statistical Significance, Regression (Statistics)
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Lawton, Leigh – Journal of Statistics Education, 2009
Hypothesis testing is one of the more difficult concepts for students to master in a basic, undergraduate statistics course. Students often are puzzled as to why statisticians simply don't calculate the probability that a hypothesis is true. This article presents an exercise that forces students to lay out on their own a procedure for testing a…
Descriptors: Hypothesis Testing, Probability, Learning Activities, Statistics
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Zhang, Yixin – Quarterly Review of Distance Education, 2005
The purpose of this study was to investigate distance learning variables and their possible contributions to successful distance learning receptivity. The variables used in this study included gender, age, computer experience, learning style, and students taking an educational technology (EDTC) course and students taking a statistics (non-EDTC)…
Descriptors: Cognitive Style, Distance Education, Prior Learning, Educational Technology