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Nielsen, Niels Peter; Berntsen, Dorthe – Applied Cognitive Psychology, 2022
Memory for traumatic events and their most distressing moments (hotspots) are typically examined in patients with posttraumatic stress disorder (PTSD) using retrospective memory reports for the index trauma. Effects of PTSD symptoms on memory for new (post-trauma) events and their hotspots have received less attention. Here we used a prospective,…
Descriptors: Posttraumatic Stress Disorder, Symptoms (Individual Disorders), Memory, Intervals
Jiang, Zhehan; Raymond, Mark; DiStefano, Christine; Shi, Dexin; Liu, Ren; Sun, Junhua – Educational and Psychological Measurement, 2022
Computing confidence intervals around generalizability coefficients has long been a challenging task in generalizability theory. This is a serious practical problem because generalizability coefficients are often computed from designs where some facets have small sample sizes, and researchers have little guide regarding the trustworthiness of the…
Descriptors: Monte Carlo Methods, Intervals, Generalizability Theory, Error of Measurement
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
Mahy, Caitlin E. V. – Child Development Perspectives, 2022
The study of children's prospective memory has gained new momentum over the past 20 years and is now an active area of research in cognitive development. Yet, this resurgence has been accompanied by significant challenges that offer important lessons and insights for other areas of developmental science. In this article, I provide an overview and…
Descriptors: Children, Cognitive Development, Memory, Cognitive Ability
Martínez-Pérez, Sandra Areli; Sanchez Sanchez, Ernesto A. – Canadian Journal of Science, Mathematics and Technology Education, 2022
This work reports the results of an investigation that aimed to know the informal reasoning of high school students with and about the frequency approach of probability and the law of large numbers when they were faced with a problem about random intervals. The research question was as follows: What features of students' reasoning about the…
Descriptors: High School Students, Thinking Skills, Incidence, Problem Solving
Christopher E. Shank – ProQuest LLC, 2024
This dissertation compares the performance of equivalence test (EQT) and null hypothesis test (NHT) procedures for identifying invariant and noninvariant factor loadings under a range of experimental manipulations. EQT is the statistically appropriate approach when the research goal is to find evidence of group similarity rather than group…
Descriptors: Factor Analysis, Goodness of Fit, Intervals, Comparative Analysis
Raykov, Tenko; Marcoulides, George A. – Measurement: Interdisciplinary Research and Perspectives, 2023
This article outlines a readily applicable procedure for point and interval estimation of the population discrepancy between reliability and the popular Cronbach's coefficient alpha for unidimensional multi-component measuring instruments with uncorrelated errors, which are widely used in behavioral and social research. The method is developed…
Descriptors: Measurement, Test Reliability, Measurement Techniques, Error of Measurement
Preya Bhattacharya – International Journal of Social Research Methodology, 2023
In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important data analysis methods in comparative research. According to the guidelines of this method, there are certain steps that a researcher needs to follow, before causally analyzing the data for necessary and sufficient conditions. One of these steps is…
Descriptors: Evaluation Methods, Comparative Analysis, Social Science Research, Computer Software
Molenaar, Dylan; Cúri, Mariana; Bazán, Jorge L. – Journal of Educational and Behavioral Statistics, 2022
Bounded continuous data are encountered in many applications of item response theory, including the measurement of mood, personality, and response times and in the analyses of summed item scores. Although different item response theory models exist to analyze such bounded continuous data, most models assume the data to be in an open interval and…
Descriptors: Item Response Theory, Data, Responses, Intervals
Amy A. Stango; Elbert Q. Blakely; Rebekah Gast; Marisely Pacheco Orta – Education and Treatment of Children, 2025
Sensory-based interventions are commonly utilized by pediatric occupational therapy practitioners when working with children with disabilities. The purpose of this study was to examine the effects of fixed-time breaks with access to sensory stimuli on behavior that interfered with participation in pediatric occupational therapy sessions. Two boys…
Descriptors: Autism Spectrum Disorders, Children, Occupational Therapy, Sensory Experience
Sarkar, Jyotirmoy; Rashid, Mamunur – Teaching Statistics: An International Journal for Teachers, 2021
While a dot plot depicts data on a quantitative variable without distortion, a boxplot shows only the five-number summary. For large data, to aid in counting, we propose an IVY plot as a companion to a dot plot. Also, for large data, if the variable is approximately normally distributed, as a companion to a boxplot, we propose a Gaussian interval…
Descriptors: Intervals, Graphs, Statistics Education, Data
Cao, Wenhao; Siegel, Lianne; Zhou, Jincheng; Zhu, Motao; Tong, Tiejun; Chen, Yong; Chu, Haitao – Research Synthesis Methods, 2021
A reference interval provides a basis for physicians to determine whether a measurement is typical of a healthy individual. It can be interpreted as a prediction interval for a new individual from the overall population. However, a reference interval based on a single study may not be representative of the broader population. Meta-analysis can…
Descriptors: Meta Analysis, Statistical Analysis, Intervals, Computation
Campbell R. Bego; Keith B. Lyle; Patricia A. S. Ralston; Jason C. Immekus; Raymond J. Chastain; Lora D. Haynes; Lenore K. Hoyt; Rachel M. Pigg; Shira D. Rabin; Matthew W. Scobee; Thomas L. Starr – International Journal of STEM Education, 2024
Background: Undergraduate STEM instructors want to help students learn and retain knowledge for their future courses and careers. One promising evidence-based technique that is thought to increase long-term memory is spaced retrieval practice, or repeated testing over time. The beneficial effect of spacing has repeatedly been demonstrated in the…
Descriptors: Meta Analysis, Intervals, Introductory Courses, STEM Education
Iryna Schommartz; Angela M. Kaindl; Claudia Buss; Yee Lee Shing – Developmental Psychology, 2024
Childhood is a period when memory consolidation and knowledge base undergo rapid changes. The present study examined short-delay (overnight) and long-delay (after a 2-week period) consolidation of new information either congruent or incongruent with prior knowledge in typically developing 6- to 8-year-old children (n = 32), 9- to 11-year-old…
Descriptors: Access to Information, Children, Memory, Prior Learning
Harari, Ofir; Soltanifar, Mohsen; Cappelleri, Joseph C.; Verhoek, Andre; Ouwens, Mario; Daly, Caitlin; Heeg, Bart – Research Synthesis Methods, 2023
Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…
Descriptors: Networks, Network Analysis, Meta Analysis, Evaluation Methods