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Garret J. Hall; Sophia Putzeys; Thomas R. Kratochwill; Joel R. Levin – Educational Psychology Review, 2024
Single-case experimental designs (SCEDs) have a long history in clinical and educational disciplines. One underdeveloped area in advancing SCED design and analysis is understanding the process of how internal validity threats and operational concerns are avoided or mitigated. Two strategies to ameliorate such issues in SCED involve replication and…
Descriptors: Research Design, Graphs, Case Studies, Validity
Laura Franchin; Anna Teresa Porrini; Luca Surian – Language Learning and Development, 2024
Young children's (n = 108) and adults' (n = 40) ability to compute ad-hoc quantity conversational implicatures was assessed using a new implicit task that relied on eye-tracking. The children were 2 and 5 years old. Looking times reveal that all participants interpreted simple references by relying on implicatures. However, 2-year-olds failed to…
Descriptors: Young Children, Age Differences, Adults, Interpersonal Communication
Xinhe Wang; Ben B. Hansen – Society for Research on Educational Effectiveness, 2024
Background: Clustered randomized controlled trials are commonly used to evaluate the effectiveness of treatments. Frequently, stratified or paired designs are adopted in practice. Fogarty (2018) studied variance estimators for stratified and not clustered experiments and Schochet et. al. (2022) studied that for stratified, clustered RCTs with…
Descriptors: Causal Models, Randomized Controlled Trials, Computation, Probability
Wendy Castillo; Lindsay Dusard – Society for Research on Educational Effectiveness, 2024
Background: The emergence of causal research in education was almost strictly quantitative twenty years ago, however, that landscape has changed considerably. The number of intervention studies fielded and completed annually has increased substantially, and the quality of the evaluations is much more robust, including paying much greater attention…
Descriptors: Randomized Controlled Trials, Educational Research, Equal Education, Educational Policy
Kylie Anglin – AERA Open, 2024
Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
Guanglei Hong; Fan Yang; Xu Qin – Grantee Submission, 2023
In causal mediation studies that decompose an average treatment effect into indirect and direct effects, examples of post-treatment confounding are abundant. In the presence of treatment-by-mediator interactions, past research has generally considered it infeasible to adjust for a post-treatment confounder of the mediator-outcome relationship due…
Descriptors: Causal Models, Mediation Theory, Research Problems, Statistical Inference
Kenneth A. Frank; Qinyun Lin; Spiro Maroulis – Grantee Submission, 2023
Beginning with debates about the effects of smoking on lung cancer, sensitivity analyses characterizing the hypothetical unobserved conditions that can alter statistical inferences have had profound impacts on public policy. One of the most ascendant techniques for sensitivity analysis is Oster's (2019) coefficient of proportionality, which…
Descriptors: Computation, Statistical Analysis, Statistical Inference, Correlation
Hansen, Spencer; Rice, Kenneth – Research Synthesis Methods, 2022
Meta-analysis of proportions is conceptually simple: Faced with a binary outcome in multiple studies, we seek inference on some overall proportion of successes/failures. Under common effect models, exact inference has long been available, but is not when we more realistically allow for heterogeneity of the proportions. Instead a wide range of…
Descriptors: Meta Analysis, Effect Size, Statistical Inference, Intervals
Jensen, Katrine Lyskov; Elbro, Carsten – Reading and Writing: An Interdisciplinary Journal, 2022
Traditional cloze tests (such as the CBM-maze) may be poor measures of comprehension processes beyond the single sentence level. This paper presents an alternative, a deep cloze test with gaps that are strategically chosen to assess comprehension beyond the sentence level. To fill each gap, the reader has to draw global cohesion inferences during…
Descriptors: Cloze Procedure, Reading Comprehension, Inferences, Adults
Levy, Roy – Measurement: Interdisciplinary Research and Perspectives, 2022
Obtaining values for latent variables in factor analysis models, also referred to as factor scores, has long been of interest to researchers. However, many treatments of factor analysis do not focus on inference about the latent variables, and even fewer do so from a Bayesian perspective. Researchers may therefore be ill-acquainted with Bayesian…
Descriptors: Factor Analysis, Bayesian Statistics, Inferences, Decision Making
Tillman, Katharine A.; Walker, Caren M. – Child Development, 2022
This study explored children's causal reasoning about the past and future. U.S. adults (n = 60) and 3-to-6-year-olds (n = 228) from an urban, middle-class population (49% female; [approximately] 45% white) participated between 2017 and 2019. Participants were told three-step causal stories and asked about the effects of a change to the second…
Descriptors: Time Perspective, Preschool Children, Thinking Skills, Logical Thinking
Doan, Tiffany; Stonehouse, Emily; Denison, Stephanie; Friedman, Ori – Developmental Psychology, 2022
In pursuing goals, people seek favorable odds. We investigated whether young children use this fact to infer goals from people's actions across two experiments on Canadian 3- to 7-year-old children (N = 316; 167 girls, 149 boys). Participants' demographic information was not formally collected, but the region is predominantly middle-class and…
Descriptors: Young Children, Inferences, Probability, Vignettes
The Unforgettable "Mel": Pragmatic Inferences Affect How Children Acquire and Remember Word Meanings
Katherine Trice; Dionysia Saratsli; Anna Papafragou; Zhenghan Qi – Developmental Science, 2025
Children can acquire novel word meanings by using pragmatic cues. However, previous literature has frequently focused on in-the-moment word-to-meaning mappings, not delayed retention of novel vocabulary. Here, we examine how children use pragmatics as they learn and retain novel words. Thirty-three younger children (mean age: 5.0, range: 4.0-6.0,…
Descriptors: Children, Young Children, Language Acquisition, Semantics
Diego Cortes; Dirk Hastedt; Sabine Meinck – Large-scale Assessments in Education, 2025
This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…
Descriptors: Sampling, Research Design, Educational Assessment, Statistical Inference

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