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Jonsdottir, Anna H.; Lentin, Jamie; Calian, Violeta; Hafsteinsson, Eggert K.; Stefansson, Gunnar – Teaching Statistics: An International Journal for Teachers, 2021
The tutor-web is an open-source learning environment designed to be used for teaching mathematics and statistics. The system offers thousands of exercises at high school and university level, and has been used for a decade to teach introductory statistics courses with good results. A new component has recently been added to the tutor-web so that…
Descriptors: Data Use, Statistics Education, Web Based Instruction, Educational Environment
Blended Learning with Edmodo: The Effectiveness of Statistical Learning during the COVID-19 Pandemic
Sefriani, Rini; Sepriana, Rina; Wijaya, Indra; Radyuli, Popi; Menrisal – International Journal of Evaluation and Research in Education, 2021
The condition of all countries in the world is devastated by the presence of a corona virus epidemic known as Corona Virus Diseases-19 (COVID-19). The efforts of the Indonesian government to break the chain of distribution of COVID-19 in the midst of society is to impose a policy of keeping distance, avoiding publicity, frequent hand washing and…
Descriptors: Blended Learning, Educational Technology, Statistics Education, COVID-19
Wills, Gabrielle; van der Berg, Servaas – Educational Management Administration & Leadership, 2021
This paper describes a process to develop and trial new metrics in South Africa to quantify school leadership and management practices or processes that are considered theoretically related to literacy outcomes. The predictive validity of these measures is assessed in challenging contexts, including 60 township and rural primary schools in South…
Descriptors: Leadership, School Administration, Literacy, Rural Schools
Sibicky, Mark; Klein, Christopher L.; Embrescia, Emily – Teaching of Psychology, 2021
Psychological misconceptions are common among students taking psychology courses. In this study, we show an association between student endorsement of misconceptions and two prevalent and well-researched lay beliefs about the human mind, specifically the belief in free will and dualism. This study also revisits and builds upon past research…
Descriptors: Misconceptions, Psychology, Beliefs, College Students
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

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