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Showing 1 to 15 of 97 results Save | Export
Sinharay, Sandip – Grantee Submission, 2021
Drasgow, Levine, and Zickar (1996) suggested a statistic based on the Neyman-Pearson lemma (e.g., Lehmann & Romano, 2005, p. 60) for detecting preknowledge on a known set of items. The statistic is a special case of the optimal appropriateness indices of Levine and Drasgow (1988) and is the most powerful statistic for detecting item…
Descriptors: Robustness (Statistics), Hypothesis Testing, Statistics, Test Items
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Rohana; Ningsih, Yunika Lestaria – Online Submission, 2020
The role of statistics is wide and crucial in daily life, making statistics important. Many students have difficulty understanding statistics. This study aims to determine students' statistical reasoning about inference statistics, which is limited to the subject matter of the testing hypotheses about two-sample hypotheses testing. This study used…
Descriptors: Statistics, Inferences, Abstract Reasoning, Hypothesis Testing
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Eder José Assink Junior; Paulo Cesar de Jesus; Endler Marcel Borges – Journal of Chemical Education, 2023
Here, students determine the total protein content in whey protein samples using the Lowry assay. Quantitative analysis was carried out using absorbance measured at 750 nm (standard method) and 96-well-plate digital images obtained using smartphones (proposed method). The proposed method was carried out using two smartphones (1 and 2). Smartphone…
Descriptors: Chemistry, Science Education, Visual Aids, Handheld Devices
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Xia, Yan; Green, Samuel B.; Xu, Yuning; Thompson, Marilyn S. – Educational and Psychological Measurement, 2019
Past research suggests revised parallel analysis (R-PA) tends to yield relatively accurate results in determining the number of factors in exploratory factor analysis. R-PA can be interpreted as a series of hypothesis tests. At each step in the series, a null hypothesis is tested that an additional factor accounts for zero common variance among…
Descriptors: Effect Size, Factor Analysis, Hypothesis Testing, Psychometrics
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Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Statistics Education Research Journal, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
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Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Grantee Submission, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
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Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
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Tacoma, Sietske; Heeren, Bastiaan; Jeuring, Johan; Drijvers, Paul – International Journal of Artificial Intelligence in Education, 2020
Hypothesis testing involves a complex stepwise procedure that is challenging for many students in introductory university statistics courses. In this paper we assess how feedback from an Intelligent Tutoring System can address the logic of hypothesis testing and whether such feedback contributes to first-year social sciences students' proficiency…
Descriptors: Hypothesis Testing, Feedback (Response), Intelligent Tutoring Systems, Introductory Courses
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Chang, Mark – Educational and Psychological Measurement, 2017
We briefly discuss the philosophical basis of science, causality, and scientific evidence, by introducing the hidden but most fundamental principle of science: the similarity principle. The principle's use in scientific discovery is illustrated with Simpson's paradox and other examples. In discussing the value of null hypothesis statistical…
Descriptors: Hypothesis Testing, Evidence, Sciences, Scientific Principles
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2017
It is well known that students of inferential statistics find the hypothetical, probabilistic reasoning used in hypothesis tests difficult to understand. Consequently, they will also have difficulties in understanding "p"-values. It is not unusual for these students to hold misconceptions about "p"-values that are difficult to…
Descriptors: Foreign Countries, Mathematics Teachers, Statistics, Beliefs
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Bakker, Arthur; Ben-Zvi, Dani; Makar, Katie – Mathematics Education Research Journal, 2017
To understand how statistical and other types of reasoning are coordinated with actions to reduce uncertainty, we conducted a case study in vocational education that involved statistical hypothesis testing. We analyzed an intern's research project in a hospital laboratory in which reducing uncertainties was crucial to make a valid statistical…
Descriptors: Statistical Inference, Case Studies, Statistics, Hypothesis Testing
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Noll, Jennifer; Kirin, Dana – Statistics Education Research Journal, 2017
Teaching introductory statistics using curricula focused on modeling and simulation is becoming increasingly common in introductory statistics courses and touted as a more beneficial approach for fostering students' statistical thinking. Yet, surprisingly little research has been conducted to study the impact of modeling and simulation curricula…
Descriptors: Statistics, Introductory Courses, Models, Teaching Methods
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Liu, Lu; Haque, M. D. – Online Journal of Distance Learning Administration, 2017
This study identified the moderated mediation relationship among age, Internet self-efficacy, and statistics anxiety on student satisfaction after controlling for demographics and technology experiences in research methods courses in a blended professional doctoral program. One hundred and thirty-one students in a three-year Ed.D. Program…
Descriptors: Graduate Students, Student Research, Methods Courses, Blended Learning
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Gagliardi, Annie; Feldman, Naomi H.; Lidz, Jeffrey – Cognitive Science, 2017
Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We use rational analysis to investigate the…
Descriptors: Children, Statistics, Learning, Bayesian Statistics
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Lane-Getaz, Sharon – Statistics Education Research Journal, 2017
In reaction to misuses and misinterpretations of p-values and confidence intervals, a social science journal editor banned p-values from its pages. This study aimed to show that education could address misuse and abuse. This study examines inference-related learning outcomes for social science students in an introductory course supplemented with…
Descriptors: Statistical Inference, Outcomes of Education, Introductory Courses, Social Sciences
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