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Brauer, Jonathan R.; Day, Jacob C.; Hammond, Brittany M. – Sociological Methods & Research, 2021
This article presents two alternative methods to null hypothesis significance testing (NHST) for improving inferences from underpowered research designs. Post hoc design analysis (PHDA) assesses whether an NHST analysis generating null findings might otherwise have had sufficient power to detect effects of plausible magnitudes. Bayesian analysis…
Descriptors: Hypothesis Testing, Statistical Analysis, Bayesian Statistics, Statistical Significance
Man, Kaiwen; Harring, Jeffrey R. – Educational and Psychological Measurement, 2021
Many approaches have been proposed to jointly analyze item responses and response times to understand behavioral differences between normally and aberrantly behaved test-takers. Biometric information, such as data from eye trackers, can be used to better identify these deviant testing behaviors in addition to more conventional data types. Given…
Descriptors: Cheating, Item Response Theory, Reaction Time, Eye Movements
Su, Shiyang; Wang, Chun; Weiss, David J. – Educational and Psychological Measurement, 2021
S-X[superscript 2] is a popular item fit index that is available in commercial software packages such as "flex"MIRT. However, no research has systematically examined the performance of S-X[superscript 2] for detecting item misfit within the context of the multidimensional graded response model (MGRM). The primary goal of this study was…
Descriptors: Statistics, Goodness of Fit, Test Items, Models
Fox, Jean-Paul; Wenzel, Jeremias; Klotzke, Konrad – Journal of Educational and Behavioral Statistics, 2021
Standard item response theory (IRT) models have been extended with testlet effects to account for the nesting of items; these are well known as (Bayesian) testlet models or random effect models for testlets. The testlet modeling framework has several disadvantages. A sufficient number of testlet items are needed to estimate testlet effects, and a…
Descriptors: Bayesian Statistics, Tests, Item Response Theory, Hierarchical Linear Modeling
Mani, Nivedita; Schreiner, Melanie S.; Brase, Julia; Köhler, Katrin; Strassen, Katrin; Postin, Danilo; Schultze, Thomas – Developmental Science, 2021
Developmental research, like many fields, is plagued by low sample sizes and inconclusive findings. The problem is amplified by the difficulties associated with recruiting infant participants for research as well as the increased variability in infant responses. With sequential testing designs providing a viable alternative to paradigms facing…
Descriptors: Bayesian Statistics, Infants, Language Acquisition, Vocabulary
Kurtulus, Aytaç – Educational Research Quarterly, 2021
The purpose of this study is to analyze the relationships between the flow states and undergraduate attitudes' towards math and engagement in a mathematics course in an education faculty. The results showed that the more positive attitudes the students had towards mathematics courses, the more flow they experienced and the less anxiety they had in…
Descriptors: Mathematics Education, Learner Engagement, Undergraduate Students, Student Attitudes
Charalambous, Magda; Hodge, Josh A.; Ippolito, Kate – Educational Action Research, 2021
Competence in statistics is a fundamental component of a biological scientist's toolbox. However, anxiety often affects undergraduate students' development of this competence and research has shown that perceived self-efficacy for statistics is correlated to academic performance. Self-efficacy may be promoted by reducing anxiety, and also allowing…
Descriptors: Learning Experience, Self Efficacy, Undergraduate Students, Statistics Education
Bilgin, Okan; Ince, Murat; Yesilyurt, Erhan – International Journal of Psychology and Educational Studies, 2021
The present study aims to investigate the relationship between university students' school climate and their motivation levels. In this study, whether the school climate and motivation levels differ according to gender and year of study also been examined. The "School Climate Scale for University Students" and "Adult Motivation…
Descriptors: College Students, College Environment, Student Motivation, Environmental Influences
Subanji; Nusantara, Toto; Rahmatina, Desi; Purnomo, Heri – International Journal of Instruction, 2021
This research aimed to construct a statistical creative model in solving the problem of descriptive statistics. This type of research is a mixed methods research with a sequential mixed methods model using Exploratory sequential design. A descriptive qualitative method is used to build statistical creative models. Meanwhile, a quantitative method…
Descriptors: High School Students, Statistics Education, Gender Differences, Problem Solving
Serrano Corkin, Danya M.; Lindt, Suzanne F.; Williams, Patrick S. – Learning Environments Research, 2021
Understanding factors within college learning environments that can ameliorate maladaptive academic behaviours such as procrastination could contribute to enhancing college students' success and persistence. Thus, the aims of the current study were to investigate: (a) the degree to which facets of the college classroom motivational environment…
Descriptors: College Environment, Classroom Environment, Student Motivation, Time Management
Nielsen, Tine; Kreiner, Svend – Cogent Education, 2021
In 2018, Nielsen and Kreiner provided evidence that the Attitudes and Relationship to Statistics--Revised (HFS-R) questionnaire provides essentially valid, objective, and reliable measurement of three statistical anxiety constructs and one statistical attitude construct among students of sociology and public health. The purpose of the study…
Descriptors: Statistics Education, Mathematics Anxiety, Student Attitudes, Construct Validity
Sharma, Aarti Mehta; Srivastav, Anshu – International Journal of Instruction, 2021
Student's attitudes towards Statistics are pivotal to their learning process as positive attitudes lead to highly satisfactory course achievement and lead to positive outcomes outside class as well. In this paper we are exploring the perception of students of management apropos Statistics, familiarity with which is imperative in today's world of…
Descriptors: Student Attitudes, Attitude Measures, Statistics, Business Administration Education
Ravalihasy, Andrainolo; Rude, Nathalie; Yazdanpanah, Yazdan; Kardas-Sloma, Lidia; Desgrées du Loû, Annabel; Gosselin, Anne; Ridde, Valéry – American Journal of Health Education, 2021
Background: The MAKASI intervention aimed to empower sub-Saharan immigrants living in the Paris metropolitan area regarding sexual health and reduce their HIV exposure. The intervention was developed based upon a theoretical model of individual empowerment. Purpose: A scale was developed using sixteen 4-point Likert items adapted from existing…
Descriptors: Test Construction, Test Validity, Acquired Immunodeficiency Syndrome (AIDS), Empowerment
Palermo, Martin; Kelly, Angela M.; Krakehl, Robert – Journal of Chemical Education, 2021
The chemistry teacher pipeline has experienced considerable loss of teachers due to turnover. High turnover rates create localized staffing problems and a revolving door of novice teachers, particularly in the sciences and in urban and rural locales, which impacts student learning and achievement. This non-experimental longitudinal study examined…
Descriptors: Chemistry, Science Teachers, Teacher Persistence, Faculty Mobility
Esnard, Talia Randa; Alladin, Fareena Maryam; Samlal, Keisha Chandra – Statistics Education Research Journal, 2021
The objectives of this study were to examine (1) the expectation for performance (EFP) in statistics of first year university students, (2) the relative effect of previous mathematics performance (PMP), perceived statistical self-efficacy (SSE), and statistics anxiety (SA) for understanding these expectations, and (3) whether students' EFP scores…
Descriptors: College Freshmen, Mathematics Achievement, Mathematics Anxiety, Self Efficacy

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