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Byman, Reijo; Maaranen, Katriina; Kansanen, Pertti – International Journal of Research & Method in Education, 2021
From the end of the 1970s, all teacher education programmes have been a part of academic higher education in Finland. Thus, TE has been implemented in universities and all Finnish comprehensive and upper-secondary school teachers have a master's degree. Research methods courses have been an essential part of teacher education courses for over 40…
Descriptors: Preservice Teachers, Student Attitudes, Value Judgment, Research Methodology
Charlotte Brookfield; Malcolm Williams; Luke Sloan; Emily Maule – Numeracy, 2021
In 2012, in a bid to improve the quantitative methods training of social science students in the UK, the £19.5 million Q-Step project was launched. This investment demonstrated a significant commitment to changing how we train social science students in quantitative research methods in the UK. The project has involved eighteen higher education…
Descriptors: Social Sciences, Statistics Education, Teaching Methods, Program Descriptions
Bernard L. Dillard – ProQuest LLC, 2024
The Upward Bound Math and Science (UBMS) program at Temple University (TU) seeks to guide first-generation, low-income high school students from Philadelphia in their quest to obtain postsecondary STEM degrees that lead to related careers. This study aims to evaluate the efficacy of the program by analyzing its students' performance in light of…
Descriptors: Program Evaluation, Statistical Analysis, Program Effectiveness, College Preparation
Hancock, Gregory R.; McNeish, Daniel M. – Journal of Experimental Education, 2017
For the two-way factorial design in analysis of variance, the current article explicates and compares three methods for controlling the Type I error rate for all possible simple interaction contrasts following a statistically significant interaction, including a proposed modification to the Bonferroni procedure that increases the power of…
Descriptors: Statistical Analysis, Hypothesis Testing, Comparative Analysis, Statistical Significance
Haig, Brian D. – Educational and Psychological Measurement, 2017
This article considers the nature and place of tests of statistical significance (ToSS) in science, with particular reference to psychology. Despite the enormous amount of attention given to this topic, psychology's understanding of ToSS remains deficient. The major problem stems from a widespread and uncritical acceptance of null hypothesis…
Descriptors: Statistical Significance, Statistical Analysis, Hypothesis Testing, Psychology
Díaz-Mataix, Lorenzo; Piper, Walter T.; Schiff, Hillary C.; Roberts, Clark H.; Campese, Vincent D.; Sears, Robert M.; LeDoux, Joseph E. – Learning & Memory, 2017
The creation of auditory threat Pavlovian memory requires an initial learning stage in which a neutral conditioned stimulus (CS), such as a tone, is paired with an aversive one (US), such as a shock. In this phase, the CS acquires the capacity of predicting the occurrence of the US and therefore elicits conditioned defense responses.…
Descriptors: Classical Conditioning, Memory, Animals, Statistical Analysis
Reynolds, Linda J.; De Ste Croix, Mark B. A.; James, David V. B. – Research Quarterly for Exercise and Sport, 2017
Purpose: The purpose of this study was to investigate the influence of exercise intensity on postexercise supine and tilt baroreflex sensitivity (BRS). Method: Nine healthy, active men performed 2 conditions of interval cycling of 40% maximal work rate (WR[subscript max]) and 75% WR[subscript max] of matched work done and a control condition of no…
Descriptors: Exercise, Metabolism, Males, Statistical Analysis
Choi, Jinnie – Journal of Educational and Behavioral Statistics, 2017
This article reviews PROC IRT, which was added to Statistical Analysis Software in 2014. We provide an introductory overview of a free version of SAS, describe what PROC IRT offers for item response theory (IRT) analysis and how one can use PROC IRT, and discuss how other SAS macros and procedures may compensate the IRT functionalities of PROC IRT.
Descriptors: Item Response Theory, Computer Software, Statistical Analysis, Computation
Hart, Michael – ProQuest LLC, 2017
Information Technology (IT) departments that include development and operations are essential to develop software that meet customer needs. DevOps is a term originally constructed from software development and IT operations. DevOps includes the collaboration of all stakeholders such as software engineers and systems administrators involved in the…
Descriptors: Information Technology, Computer Software, Statistical Analysis, Models
Ryoo, Ji Hoon; Tai, Robert H. – AERA Online Paper Repository, 2017
Due to the complexity of latent transition analysis (LTA) model structure and qualitative decision making in LTA, power analysis has less been reported and studied. Baldwin (2015) and Gudicha, et al., (2016) recently reported results about power analysis in LTA, which included useful information. On the other hand, both studies are limited in the…
Descriptors: Statistical Analysis, Group Membership, Longitudinal Studies, Models
Wahyono, Poncojari; Wardiani, Fefi Eka; Susetyarini, Eko – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2020
Biochemistry is a study which consists of many difficult concepts. Research that examines biochemistry learning needs to be continuously carried out so that the quality of learning can be evaluated and improved. Hence, this content analysis addressed to analyze the research methodologies of the articles published in various Indonesian biology…
Descriptors: Foreign Countries, Research Methodology, Mixed Methods Research, Journal Articles
Zhou, Sherry; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2020
The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the…
Descriptors: Models, Statistical Analysis, Response Style (Tests), Test Items
Erps, Ryan C.; Noguchi, Kimihiro – Journal of Educational and Behavioral Statistics, 2020
A new two-sample test for comparing variability measures is proposed. To make the test robust and powerful, a new modified structural zero removal method is applied to the Brown-Forsythe transformation. The t-test-based statistic allows results to be expressed as the ratio of mean absolute deviations from median. Extensive simulation study…
Descriptors: Statistical Analysis, Comparative Analysis, Robustness (Statistics), Sample Size
Pfannkuch, Maxine; Wild, Chris; Arnold, Pip; Budgett, Stephanie – set: Research Information for Teachers, 2020
The first two decades of the 21st century has heralded an unprecedented data revolution increasingly impacting our daily lives. Statistics education must continually update itself to prepare students for this new data-driven world. In this reflection on our research during this time, we discuss how fostering learning from data brought many…
Descriptors: Educational Research, Educational History, Statistics, Reflection
Kelcey, Ben; Spybrook, Jessaca; Dong, Nianbo; Bai, Fangxing – Journal of Research on Educational Effectiveness, 2020
Professional development for teachers is regarded as one of the principal pathways through which we can understand and cultivate effective teaching and improve student outcomes. A critical component of studies that seek to improve teaching through professional development is the detailed assessment of the intermediate teacher development processes…
Descriptors: Faculty Development, Educational Research, Randomized Controlled Trials, Research Design

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