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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
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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
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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
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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
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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
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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
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López-López, José A.; Page, Matthew J.; Lipsey, Mark W.; Higgins, Julian P. T. – Research Synthesis Methods, 2018
Systematic reviews often encounter primary studies that report multiple effect sizes based on data from the same participants. These have the potential to introduce statistical dependency into the meta-analytic data set. In this paper, we provide a tutorial on dealing with effect size multiplicity within studies in the context of meta-analyses of…
Descriptors: Effect Size, Literature Reviews, Meta Analysis, Research Methodology
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Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018
A latent variable modeling method for studying measurement invariance when evaluating latent constructs with multiple binary or binary scored items with no guessing is outlined. The approach extends the continuous indicator procedure described by Raykov and colleagues, utilizes similarly the false discovery rate approach to multiple testing, and…
Descriptors: Models, Statistical Analysis, Error of Measurement, Test Bias
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Landmann, Helen; Hess, Ursula – Journal of Moral Education, 2018
Moral foundation theory posits that specific moral transgressions elicit specific moral emotions. To test this claim, participants (N = 195) were asked to rate their emotions in response to moral violation vignettes. We found that compassion and disgust were associated with care and purity respectively as predicted by moral foundation theory.…
Descriptors: Moral Values, Emotional Response, Psychological Patterns, Foreign Countries
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Coertjens, Liesje – British Journal of Educational Psychology, 2018
Aim: The main aim of this commentary was to connect the insights from the contributions of the special issue on the intersection between depth and the regulation of strategy use. The seven contributions in this special issue stem from three perspectives: self-regulated learning (SRL), model of domain learning (MDL), or the student approaches to…
Descriptors: Cognitive Processes, Metacognition, Learning Strategies, Independent Study
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No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
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Taylor, Joseph A.; Kowalski, Susan M.; Polanin, Joshua R.; Askinas, Karen; Stuhlsatz, Molly A. M.; Wilson, Christopher D.; Tipton, Elizabeth; Wilson, Sandra Jo – AERA Open, 2018
A priori power analyses allow researchers to estimate the number of participants needed to detect the effects of an intervention. However, power analyses are only as valid as the parameter estimates used. One such parameter, the expected effect size, can vary greatly depending on several study characteristics, including the nature of the…
Descriptors: Science Education, Statistical Analysis, Effect Size, Intervention
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Wass, Sam V.; de Barbaro, Kaya; Clackson, Kaili; Leong, Victoria – Developmental Psychology, 2018
Previous research is inconsistent as to whether a more labile (faster-changing) autonomic system confers performance advantages, or disadvantages, in infants and children. To examine this, we presented a stimulus battery consisting of mixed static and dynamic viewing materials to a cohort of 63 typical 12-month-old infants. While viewing the…
Descriptors: Infants, Attention, Anxiety, Attention Span
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Doneva, Rositsa; Gaftandzhieva, Siliva; Totkov, George – Turkish Online Journal of Distance Education, 2018
This paper presents a study on known approaches for quality assurance of educational test and test items. On its basis a comprehensive approach to the quality assurance of online educational testing is proposed to address the needs of all stakeholders (authors of online tests, teachers, students, experts, quality managers, etc.). According to the…
Descriptors: Educational Testing, Automation, Quality Assurance, Computer Assisted Testing
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