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Mikkelsen, Kim Sass – Sociological Methods & Research, 2017
The combined usage of qualitative comparative analysis (QCA) and process tracing (PT) in set-theoretic multi-method research (MMR) holds great potential for reaching valid inferences. Established views of case selection after QCA hold that studying negative cases provides lessons about the causes of an outcome in a limited set of circumstances. In…
Descriptors: Mixed Methods Research, Comparative Analysis, Theories, Inferences
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Radford, Luis – Mathematics Education Research Journal, 2017
This article is a critical commentary on inferentialism in mathematics education. In the first part, I comment on some of the major shortcomings that inferentialists see in the theoretical underpinnings of representationalist, empiricist, and socioconstructivist mathematics education theories. I discuss in particular the criticism that…
Descriptors: Mathematics Education, Inferences, Teaching Methods, Theories
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Khamparia, Aditya; Pandey, Babita – Education and Information Technologies, 2017
Ontologies are emerging as best representation techniques for knowledge based context domains. The continuing need for interoperation, collaboration and effective information retrieval has lead to the creation of semantic web with the help of tools and reasoners which manages personalized information. The future of semantic web lies in an ontology…
Descriptors: Semantics, Internet, Information Retrieval, Programming Languages
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Marmolejo-Ramos, Fernando; Cousineau, Denis – Educational and Psychological Measurement, 2017
The number of articles showing dissatisfaction with the null hypothesis statistical testing (NHST) framework has been progressively increasing over the years. Alternatives to NHST have been proposed and the Bayesian approach seems to have achieved the highest amount of visibility. In this last part of the special issue, a few alternative…
Descriptors: Hypothesis Testing, Bayesian Statistics, Evaluation Methods, Statistical Inference
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Gibbs, Benjamin G.; Shafer, Kevin; Miles, Aaron – International Journal of Research & Method in Education, 2017
While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…
Descriptors: Statistical Inference, Statistics, Data, Information Utilization
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Wang, Yan; Kim, Eun Sook; Nguyen, Diep Thi; Pham, Thanh Vinh; Chen, Yi-Hsin; Yi, Zhiyao – AERA Online Paper Repository, 2017
The analysis of variance (ANOVA) F test is a commonly used method to test the mean equality among two or more populations. A critical assumption of ANOVA is homogeneity of variance (HOV), that is, the compared groups have equal variances. Although it is encouraged to test HOV as part of the regular ANOVA procedure, the efficacy of the initial HOV…
Descriptors: Statistical Analysis, Error of Measurement, Robustness (Statistics), Sampling
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Lacy, Michael G.; Snodgrass, Jeffrey G.; Meyer, Mary C.; Dengah, H. J. Francois, II; Benedict, Noah – Field Methods, 2018
The most widely used formal approach to culture, the cultural consensus theory (CCT) of Romney, Weller, and Batchelder, originally relied on a priori definitions of cultural groups to map their unity and diversity. Retaining key features of classical CCT, we provide techniques to identify two or more cultural subgroups in a sample, whether those…
Descriptors: Culture, Subcultures, Cultural Differences, Theories
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Palmquist, Carolyn M.; Fierro, Marissa G. – Journal of Cognition and Development, 2018
Although preschoolers have strong expectations about the pedagogical nature of pointing gestures (Csibra & Gergely, 2006), more recent work has shown that preschoolers prefer to use informants' spoken language, not their pointing gestures, to make judgments about their reliability (Palmquist & Jaswal, 2015). Here, we explored children's…
Descriptors: Preschool Children, Generalization, Reliability, Knowledge Level
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Yu, Chong Ho; Lee, Hyun Seo; Lara, Emily; Gan, Siyan – Practical Assessment, Research & Evaluation, 2018
Big data analytics are prevalent in fields like business, engineering, public health, and the physical sciences, but social scientists are slower than their peers in other fields in adopting this new methodology. One major reason for this is that traditional statistical procedures are typically not suitable for the analysis of large and complex…
Descriptors: Data Analysis, Social Sciences, Social Science Research, Models
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Chen, Tianxu – Foreign Language Annals, 2018
Learners' ability to infer unknown words' meanings (lexical inferencing) plays a key role in word knowledge development for second language (L2) learners. It has recently been acknowledged that learners' sensitivity to word-internal structures (morphological awareness) makes an important contribution to L2 lexical inferencing. However, it remains…
Descriptors: Morphology (Languages), Inferences, Second Language Learning, Chinese
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York, Richard – International Journal of Social Research Methodology, 2018
A common motivation for adding control variables to statistical models is to reduce the potential for spurious findings when analyzing non-experimental data and to thereby allow for more reliable causal inferences. However, as I show here, unless "all" potential confounding factors are included in an analysis (which is unlikely to be…
Descriptors: Inferences, Control Groups, Correlation, Experimental Groups
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Weatherhead, Drew; Friedman, Ori; White, Katherine S. – Child Development, 2018
Three experiments examined 4- to 6-year-olds' use of potential cues to geographic background. In Experiment 1 (N = 72), 4- to 5-year-olds used a speaker's foreign accent to infer that they currently live far away, but 6-year-olds did not. In Experiment 2 (N = 72), children at all ages used accent to infer where a speaker was born. In both…
Descriptors: Young Children, Cues, Pronunciation, Inferences
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Cappaert, Kevin J.; Wen, Yao; Chang, Yu-Feng – Measurement: Interdisciplinary Research and Perspectives, 2018
Events such as curriculum changes or practice effects can lead to item parameter drift (IPD) in computer adaptive testing (CAT). The current investigation introduced a point- and weight-adjusted D[superscript 2] method for IPD detection for use in a CAT environment when items are suspected of drifting across test administrations. Type I error and…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Identification
Makela, Susanna; Si, Yajuan; Gelman, Andrew – Grantee Submission, 2018
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to…
Descriptors: Bayesian Statistics, Statistical Inference, Sampling, Probability
Daniels, Katherine Nelson – ProQuest LLC, 2018
Traditional pre-test (TpT)/post-test (PT) and retrospective pre-test (RpT)/post-test (PT) designs are used to collect data on self-reported measures to assess the magnitude of change that occurs from interventions. If measurement invariance does not exist across the measurement occasions within these research designs, it is inappropriate to…
Descriptors: Pretests Posttests, Evaluation Methods, Intervention, Program Evaluation
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