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Sheriston, Lee; Critten, Sarah; Jones, Emily – Reading Research Quarterly, 2016
Dual-route theory, which emphasizes the importance of lexical and nonlexical routes, makes specific predictions about the kinds of strategies that young students might adopt when attempting to correctly read and spell regular and irregular words. The current study tests these predictions by assessing strategy choice on regular, irregular, and…
Descriptors: Reading, Spelling, Reading Strategies, Prediction
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Vernon, Nicola A.; Evans, M. Max; Frissen, Ilja – Education for Information, 2016
Previous studies indicate that library anxiety is a phenomenon experienced by many university-level students that impedes successful information retrieval, thereby negatively impacting academic performance. This study examines the relationship between library anxiety and personality in graduate students at the master's level. Students from various…
Descriptors: Anxiety, Libraries, Graduate Students, Personality Traits
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Williams, Immanuel James; Williams, Kelley Kim – Teaching Statistics: An International Journal for Teachers, 2016
Understanding summary statistics and graphical techniques are building blocks to comprehending concepts beyond basic statistics. It's known that motivated students perform better in school. Using examples that students find engaging allows them to understand the concepts at a deeper level.
Descriptors: Statistics, Graphs, Research Methodology, Student Motivation
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Rottman, Benjamin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
When testing which of multiple causes (e.g., medicines) works best, the testing sequence has important implications for the validity of the final judgment. Trying each cause for a period of time before switching to the other is important if the causes have tolerance, sensitization, delay, or carryover (TSDC) effects. In contrast, if the outcome…
Descriptors: Correlation, Causal Models, Beliefs, Intervention
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Frermann, Lea; Lapata, Mirella – Cognitive Science, 2016
Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words (e.g., "chair" is a member of the furniture category). We present a Bayesian model that, unlike…
Descriptors: Classification, Bayesian Statistics, Models, Cognitive Science
Zahadat, Nima – ProQuest LLC, 2016
With the rapid increase of smartphones and tablets, security concerns have also been on the rise. Traditionally, Information Technology (IT) departments set up devices, apply security, and monitor them. Such approaches do not apply to today's mobile devices due to a phenomenon called Bring Your Own Device or BYOD. Employees find it desirable to…
Descriptors: Handheld Devices, Computer Security, Surveys, Policy
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Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2016
Cronbach's coefficient alpha is a widely used reliability measure in social, behavioral, and education sciences. It is reported in nearly every study that involves measuring a construct through multiple items. With non-tau-equivalent items, McDonald's omega has been used as a popular alternative to alpha in the literature. Traditional estimation…
Descriptors: Computation, Error of Measurement, Robustness (Statistics), Statistical Analysis
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Trikalinos, Thomas A.; Hoaglin, David C.; Small, Kevin M.; Terrin, Norma; Schmid, Christopher H. – Research Synthesis Methods, 2014
Existing methods for meta-analysis of diagnostic test accuracy focus primarily on a single index test. We propose models for the joint meta-analysis of studies comparing multiple index tests on the same participants in paired designs. These models respect the grouping of data by studies, account for the within-study correlation between the tests'…
Descriptors: Meta Analysis, Diagnostic Tests, Accuracy, Comparative Analysis
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Rastegr, Behnaz; Zarei, Abbas Ali – International Journal of Language Testing, 2023
Much has been done on assessment literacy (AL) components and job demand-resources (JD-R). However, an interdisciplinary look at AL components as the predictors of JD-R and its possible consequences for the engagement and burnout of teachers' assessment performance has been neglected. To fill this gap, the present study explored this issue in the…
Descriptors: Language Teachers, Teacher Burnout, English (Second Language), Second Language Learning
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Paolino, Jon-Paul – Teaching Statistics: An International Journal for Teachers, 2018
This article presents a new method for introductory teaching of the sample mean, median and mode(s) from a univariate dataset. These basic statistical concepts are taught at various levels of education from elementary school curriculums to courses at the tertiary level. These descriptive measures of location can be taught as optimized solutions to…
Descriptors: Teaching Methods, Statistics, Introductory Courses, Concept Formation
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Crisp, Gloria; Doran, Erin; Salis Reyes, Nicole A. – Research in Higher Education, 2018
This study models graduation rates at 4-year broad access institutions (BAIs). We examine the student body, structural-demographic, and financial characteristics that best predict 6-year graduation rates across two time periods (2008-2009 and 2014-2015). A Bayesian model averaging approach is utilized to account for uncertainty in variable…
Descriptors: Graduation Rate, Predictor Variables, Student Characteristics, Institutional Characteristics
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Raboh, Ghada – Journal of Chemical Education, 2018
A high performance liquid chromatography (HPLC) experiment for the upper level analytical chemistry laboratory is described. The students consider the effect of mobile-phase composition and pH on the retention times of ionizable compounds in order to determine the acid dissociation constant, K[subscript a], of a phenolic acid. Results are analyzed…
Descriptors: Science Instruction, College Science, Undergraduate Study, Inquiry
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Grané, Aurea; Romera, Rosario – Sociological Methods & Research, 2018
Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…
Descriptors: Surveys, Data, Multidimensional Scaling, Robustness (Statistics)
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Bikar, Somaye; Marziyeh, Afsaneh; Pourghaz, Abdolwahab – International Journal of Instruction, 2018
This study aimed to determine the relationship between affective structures and academic burnout among male and female third-grade high school students in Zahedan in the academic year 2016-2017. The current descriptive-correlational study had a sample including 362 students selected using a multistage cluster sampling method. To collect data,…
Descriptors: Burnout, Gender Differences, High School Students, Correlation
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McGill, Ryan J.; Conoyer, Sarah J.; Fefer, Sarah – School Psychology Forum, 2018
Within the school psychology literature, it is frequently asserted that deficits in cognitive processing are a defining characteristic of children with academic dysfunction, and establishing links between relevant cognitive and academic weaknesses is a core pillar of patterns of strengths and weaknesses assessment models. Accordingly, the present…
Descriptors: Intelligence Tests, Cognitive Ability, Academic Ability, Psychological Evaluation
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