Christopher G. Thompson
Texas A&M University
StatisticsBayesian probabilityInternal medicineEndocrinologyHomogeneity (statistics)Mathematics educationEconometricsRegression analysisPsychologyFrequentist inferenceSet (psychology)GeneralizationPrior probabilityCognitive psychologyStandard deviationContext (language use)MathematicsComputer scienceMedicineSocial psychologyModerationMeta-analysis
20Publications
5H-index
222Citations
Publications 20
Newest
#1Yi-Jui Iva Chen (USF: University of South Florida)
#1Yi-Jui Iva Chen (USF: University of South Florida)H-Index: 1
Last. George K. Georgiou (U of A: University of Alberta)H-Index: 30
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The primary goal of this meta-analysis was to estimate the overall size of the relation between rapid automatized naming (RAN) and spelling in alphabetic languages and to examine what factors may moderate their relation. In addition, we examined if the size of the RAN-spelling relation is similar to that of the RAN-reading relation. A random-effects model with robust variance estimation was used to analyze 264 RAN-spelling effect sizes and 385 RAN-reading effect sizes from 103 studies. Results i...
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#1Fahad M. Al Amer (Najran University)
#2Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
Last. Lifeng Lin (FSU: Florida State University)
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Bayesian methods are an important set of tools for performing meta-analyses. They avoid some potentially unrealistic assumptions that are required by conventional frequentist methods. More importantly, meta-analysts can incorporate prior information from many sources, including experts’ opinions and prior meta-analyses. Nevertheless, Bayesian methods are used less frequently than conventional frequentist methods, primarily because of the need for nontrivial statistical coding, while frequentist ...
2 CitationsSource
#1Carly B. Gilson (A&M: Texas A&M University)H-Index: 7
#2Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
Last. Malena A. Nygaard (IU: Indiana University)
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There is a growing urgency to equip transition-age students with intellectual and developmental disabilities for competitive, integrated employment. Prior research demonstrates the positive effects...
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#1Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
#2Brandie Semma (A&M: Texas A&M University)H-Index: 2
Abstract Introduction Past decades have seen a surge of applied and methodological research on meta-analysis. One methodological advancement that has gained significant traction is a Bayesian approach to meta-analysis. Methods We present a non-technical introduction to Bayesian meta-analysis. This introduction re-analyzes data from a meta-analysis concerning the impact of media literacy interventions on attitudes and intentions related to risky health behaviors using a Bayesian approach. One dat...
2 CitationsSource
#1Alex M. Russell (UA: University of Arkansas)H-Index: 1
#2Bo Yu (A&M: Texas A&M University)H-Index: 1
Last. Adam E. Barry (A&M: Texas A&M University)H-Index: 26
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Abstract Objective Underage alcohol use, and associated deleterious consequences, persists as a serious public health issue. In particular, early initiation of alcohol use increases risk for the development of alcohol use disorders (AUDs) later on in life. Religiosity – a multidimensional construct, encompassing personal beliefs, commitments, practices, and public behaviors – has demonstrated a strong protective effect on alcohol consumption; as one’s religiosity increases their alcohol use beha...
3 CitationsSource
#1Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
#2Sam von Gillern (MU: University of Missouri)H-Index: 3
Abstract This meta-analysis reviewed the literature on the efficacy of game-based learning in English as a second language vocabulary acquisition. A systematic search of the literature produced 19 studies that met inclusion criteria. Using Bayesian methods and 20 standardized-mean-difference effect sizes we assessed 1) overall mean effects and between-studies variability, 2) subgroup analyses (grade level, sex, hardware, game type, intervention length, Foreign Services Institute level, allocatio...
4 CitationsSource
#1Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
#2Betsy Jane Becker (FSU: Florida State University)H-Index: 34
While both methodological and applied work on Bayesian meta-analysis have flourished, Bayesian modeling of differences between groups of studies remains scarce in meta-analyses in psychology, education, and the social sciences. On rare occasions when Bayesian approaches have been used, non-informative prior distributions have been chosen. However, more informative prior distributions have recently garnered popularity. We propose a group-specific weakly informative prior distribution for the betw...
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#1Ariel M. Aloe (UI: University of Iowa)H-Index: 20
#2Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
Last. Deborah K. ReedH-Index: 13
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Researchers often emphasize the need for evidence from previous research to understand what is already known about a specific program or intervention. Even in the presence of high-quality evidence, consumers of research often find it difficult to interpret and apply the findings to their specific context. Many fields are incorporating evidence-based practices and the use of systematic reviews to understand what the evidence supports. However, there is little in the literature that tells us how t...
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#1Brandie Semma (A&M: Texas A&M University)H-Index: 2
#2Maria Henri (A&M: Texas A&M University)H-Index: 2
Last. Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
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Meaning in life is a psychological construct linked to several subjective well-being indicators. One commonly used meaning in life measure is the Meaning in Life Questionnaire (MLQ), a 10-item self...
1 CitationsSource
#1Umit Tokac (UMSL: University of Missouri–St. Louis)H-Index: 4
#2Elena Novak (KSU: Kent State University)H-Index: 9
Last. Christopher G. Thompson (A&M: Texas A&M University)H-Index: 5
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34 CitationsSource