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Paul A. Jewsbury; Yue Jia; Eugenio J. Gonzalez – Large-scale Assessments in Education, 2024
Large-scale assessments are rich sources of data that can inform a diverse range of research questions related to educational policy and practice. For this reason, datasets from large-scale assessments are available to enable secondary analysts to replicate and extend published reports of assessment results. These datasets include multiple imputed…
Descriptors: Measurement, Data Analysis, Achievement, Statistical Analysis
Kamaruddin Mardhiah; Othman Nursyahiyatul-Anis – Pedagogical Research, 2024
Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in…
Descriptors: Predictor Variables, Mortality Rate, Foreign Countries, Statistical Analysis
Huang, Ao; Komukai, Sho; Friede, Tim; Hattori, Satoshi – Research Synthesis Methods, 2021
Prospective registration of study protocols in clinical trial registries is a useful way to minimize the risk of publication bias in meta-analysis, and several clinical trial registries are available nowadays. However, they are mainly used as a tool for searching studies and information submitted to the registries has not been utilized as…
Descriptors: Publications, Bias, Meta Analysis, Selection
Douglas Harris; Roy McKenzie – National Center for Research on Education Access and Choice, 2023
There is considerable debate and evidence about how governments should regulate contractors and other firms, but little on how government should regulate schools. In the first phase of this study, we focus on the correlation between indices of state charter school policies and measures of charter quantity (market share) and three measures of…
Descriptors: Charter Schools, Standards, Correlation, Attribution Theory
Sims, Sam; Anders, Jake; Zieger, Laura – Journal of Research on Educational Effectiveness, 2022
Comparative interrupted time series (CITS) designs evaluate impact by modeling the relative deviation from trends among a treatment and comparison group after an intervention. The broad applicability of the design means it is widely used in education research. Like all non-experimental evaluation methods however, the internal validity of a given…
Descriptors: Validity, Comparative Analysis, Statistical Analysis, Intervention
Luhnen, Miriam; Prediger, Barbara; Neugebauer, Edmund A. M.; Mathes, Tim – Research Synthesis Methods, 2019
Introduction: The number of systematic reviews of health economic evaluations (SR-HEs) is increasing. We aimed at providing a detailed overview of the characteristics and applied methods in recently published SR-HEs. Methods: We searched MEDLINE (03/2017) for SR-HEs published since 2015 using validated search filters. We included studies that…
Descriptors: Economics, Databases, Medical Research, Search Strategies
Viano, Samantha; Baker, Dominique J. – Review of Research in Education, 2020
Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…
Descriptors: Data Collection, Data Analysis, Racial Identification, Ethnicity
Lung, For-Wey; Chiang, Tung-Liang; Lin, Shio-Jean; Lee, Meng-Chih; Shu, Bih-Ching – Autism: The International Journal of Research and Practice, 2018
The use of assisted reproduction technology has increased over the last two decades. Autism spectrum disorders and assisted reproduction technology share many risk factors. However, previous studies on the association between autism spectrum disorders and assisted reproduction technology have shown inconsistent results. The purpose of this study…
Descriptors: Foreign Countries, Autism, Pervasive Developmental Disorders, Pregnancy
Kapelner, Adam; Soterwood, Jeanine; Nessaiver, Shalev; Adlof, Suzanne – IEEE Transactions on Learning Technologies, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
Kapelner, Adam; Soterwood, Jeanine; NessAiver, Shalev; Adlof, Suzanne – Grantee Submission, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
Chang, Sau Hou – Online Submission, 2017
The purpose of the present study was to investigate the effects of test trial and processing level on immediate and delayed retention. A 2 × 2 × 2 mixed ANOVAs was used with two between-subject factors of test trial (single test, repeated test) and processing level (shallow, deep), and one within-subject factor of final recall (immediate,…
Descriptors: College Students, Retention (Psychology), Cognitive Processes, Correlation
Guevara-Rukoz, Adriana; Cristia, Alejandrina; Ludusan, Bogdan; Thiollière, Roland; Martin, Andrew; Mazuka, Reiko; Dupoux, Emmanuel – Cognitive Science, 2018
We investigate whether infant-directed speech (IDS) could facilitate word form learning when compared to adult-directed speech (ADS). To study this, we examine the distribution of word forms at two levels, acoustic and phonological, using a large database of spontaneous speech in Japanese. At the acoustic level we show that, as has been documented…
Descriptors: Statistical Analysis, Phonemes, Phonology, Infants
Joo, Kum-Jeong; Yoo, Isaiah WonHo – Language Acquisition: A Journal of Developmental Linguistics, 2018
Children's development of the functional category of articles can be explained in two ways. One approach assumes that children are equipped with innate knowledge of the category, while the other assumes that children's early articles are limited-scope formulae. Using Eisenbeiss's (2000) criteria for determining the status of DPs, developed for a…
Descriptors: Form Classes (Languages), English, Databases, German
Mawdsley, David; Higgins, Julian P. T.; Sutton, Alex J.; Abrams, Keith R. – Research Synthesis Methods, 2017
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model assumes that heterogeneity has an additive effect on the variance of effect sizes. An alternative model, which assumes multiplicative heterogeneity, has been little used in the medical statistics community, but is widely used by particle physicists. In…
Descriptors: Databases, Meta Analysis, Goodness of Fit, Effect Size
Marzo, Asier; Ardaiz, Oscar; Sanz de Acedo, María Teresa; Sanz de Acedo, María Luisa – IEEE Transactions on Education, 2017
Motivation is fundamental for students to achieve successful and complete learning. Motivation can be extrinsic, i.e., driven by external rewards, or intrinsic, i.e., driven by internal factors. Intrinsic motivation is the most effective and must be inspired by the task at hand. Here, a novel strategy is presented to increase intrinsic motivation…
Descriptors: Student Motivation, Databases, Social Media, Educational Technology

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