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Thompson, W. Burt – Teaching of Psychology, 2019
When a psychologist announces a new research finding, it is often based on a rejected null hypothesis. However, if that hypothesis is true, the claim is a false alarm. Many students mistakenly believe that the probability of committing a false alarm equals alpha, the criterion for statistical significance, which is typically set at 5%. Instructors…
Descriptors: Statistical Analysis, Hypothesis Testing, Misconceptions, Data Interpretation
Travers, Jason C.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2017
"p" values are commonly reported in quantitative research, but are often misunderstood and misinterpreted by research consumers. Our aim in this article is to provide special educators with guidance for appropriately interpreting "p" values, with the broader goal of improving research consumers' understanding and interpretation…
Descriptors: Statistical Analysis, Special Education, Research, Hypothesis Testing
Groth, Randall E.; Butler, Jaime; Nelson, Delmar – Teaching Statistics: An International Journal for Teachers, 2016
Students can struggle to understand and use terms that describe probabilities. Such struggles lead to difficulties comprehending classroom conversations. In this article, we describe some specific misunderstandings a group of students (ages 11-12) held in regard to vocabulary such as "certain", "likely" and…
Descriptors: Statistical Analysis, Statistics, Probability, Misconceptions
Herrmann-Abell, Cari F.; DeBoer, George E. – Grantee Submission, 2016
Understanding students' misconceptions and how they change is an essential part of supporting students in their science learning. This paper presents results from distractor-driven multiple-choice assessments that target students' misconceptions about energy. Over 20,000 elementary, middle and high school students from across the U.S. participated…
Descriptors: Item Response Theory, Probability, Elementary School Students, Middle School Students
Karatoprak, Rabia; Karagöz Akar, Gülseren; Börkan, Bengü – International Electronic Journal of Elementary Education, 2015
This study investigated prospective elementary (PEMTs) and secondary (PSMTs) school mathematics teachers' statistical reasoning. The study began with the adaptation of the Statistical Reasoning Assessment (Garfield, 2003) test. Then, the test was administered to 82 PEMTs and 91 PSMTs in a metropolitan city of Turkey. Results showed that both…
Descriptors: Preservice Teachers, Elementary School Teachers, Secondary School Teachers, Mathematical Logic
Williams, Joseph J.; Griffiths, Thomas L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Errors in detecting randomness are often explained in terms of biases and misconceptions. We propose and provide evidence for an account that characterizes the contribution of the inherent statistical difficulty of the task. Our account is based on a Bayesian statistical analysis, focusing on the fact that a random process is a special case of…
Descriptors: Experimental Psychology, Bias, Misconceptions, Statistical Analysis
Sun, Yanlong; Tweney, Ryan D.; Wang, Hongbin – Psychological Review, 2010
On the basis of the statistical concept of waiting time and on computer simulations of the "probabilities of nonoccurrence" (p. 457) for random sequences, Hahn and Warren (2009) proposed that given people's experience of a finite data stream from the environment, the gambler's fallacy is not as gross an error as it might seem. We deal with two…
Descriptors: Statistics, Statistical Analysis, Probability, Time Perspective
Özcan, Özgür – Eurasian Journal of Educational Research, 2013
Problem Statement: Difficulties in the learning process usually emerge from the problem of mental representations constructed by students in their interactions with the world. This previous knowledge and these ideas are in contradiction with scientific facts, and are known as misconceptions or alternative ideas. Thus, an analysis of the mental…
Descriptors: Schemata (Cognition), Physics, Science Instruction, Preservice Teachers
Gürbüz, Ramazan; Birgin, Osman; Çatlioglu, Hakan – Online Submission, 2012
The aim of the paper is to compare and evaluate the probability-related misconceptions of pupils at different education levels. A cross-sectional/age study was thus conducted with 540 pupils in 5th-8th grades. An instrument, comprising six questions on the concepts of compound events, probability of an event and probability comparisons, was used.…
Descriptors: Probability, Misconceptions, Grade 5, Grade 6
Gorard, Stephen – International Journal of Research & Method in Education, 2009
The author previously published a paper discussing how to conduct an analysis based on a cluster sample. In that paper, the author outlined several widely adopted alternative approaches, and pointed out that such approaches are anyway not needed for population figures, and not possible for non-probability samples. Thus, the author queried the…
Descriptors: Probability, Misconceptions, Reader Response, Research Methodology
Farmer, Jim – Australian Senior Mathematics Journal, 2008
In this article, the author responds to the paper "Exploring pre-service teachers' understanding of statistical variation: Implications for teaching and research" by Sashi Sharma (see EJ779107). In that paper, Sharma described a study "designed to investigate pre-service teachers' acknowledgment of variation in sampling and…
Descriptors: Preservice Teacher Education, Preservice Teachers, Statistical Analysis, Probability