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Showing 1 to 15 of 21 results Save | Export
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Luo, Liying; Hodges, James S. – Sociological Methods & Research, 2016
Age-period-cohort (APC) models are designed to estimate the independent effects of age, time periods, and cohort membership. However, APC models suffer from an identification problem: There are no unique estimates of the independent effects that fit the data best because of the exact linear dependency among age, period, and cohort. Among methods…
Descriptors: Models, Age, Time, Group Membership
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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
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Runge, Timothy J.; Bennyhoff, Caitlin F.; Ferchalk, Matthew R.; McCrea, Andrew E. – School Psychology Forum, 2017
Assessing a student's level and rate of improvement on an academic skill is a contemporary approach to the identification of specific learning disabilities. This approach, broadly categorized as responsiveness to intervention, however, does not obviate educators from scrutinizing the psychometric qualities of the data used to make important…
Descriptors: Intervals, Measurement, Identification, Learning Disabilities
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Kamata, Akihito; Nese, Joseph F. T.; Patarapichayatham, Chalie; Lai, Cheng-Fei – Assessment for Effective Intervention, 2013
The purpose of this article is to demonstrate ways to model nonlinear growth using three testing occasions. We demonstrate our growth models in the context of curriculum-based measurement using the fall, winter, and spring passage reading fluency benchmark assessments. We present a brief technical overview that includes the limitations of a growth…
Descriptors: Individual Differences, Reading Fluency, Curriculum Based Assessment, Correlation
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Sideridis, Georgios; Simos, Panagiotis; Papanicolaou, Andrew; Fletcher, Jack – Educational and Psychological Measurement, 2014
The present study assessed the impact of sample size on the power and fit of structural equation modeling applied to functional brain connectivity hypotheses. The data consisted of time-constrained minimum norm estimates of regional brain activity during performance of a reading task obtained with magnetoencephalography. Power analysis was first…
Descriptors: Structural Equation Models, Brain Hemisphere Functions, Simulation, Models
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Lindskog, Marcus; Winman, Anders; Juslin, Peter – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
The capacity of short-term memory is a key constraint when people make online judgments requiring them to rely on samples retrieved from memory (e.g., Dougherty & Hunter, 2003). In this article, the authors compare 2 accounts of how people use knowledge of statistical distributions to make point estimates: either by retrieving precomputed…
Descriptors: Experimental Psychology, Short Term Memory, Prediction, Probability
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Oberauer, Klaus; Lewandowsky, Stephan – Journal of Experimental Psychology: General, 2013
The article tests the assumption that forgetting in working memory for verbal materials is caused by time-based decay, using the complex-span paradigm. Participants encoded 6 letters for serial recall; each letter was preceded and followed by a processing period comprising 4 trials of difficult visual search. Processing duration, during which…
Descriptors: Accuracy, Recall (Psychology), Maintenance, Models
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Van Daele, Tom; Hermans, Dirk; Van Audenhove, Chantal; Van den Bergh, Omer – Health Education & Behavior, 2012
The aim of this meta-analysis was to evaluate the effectiveness of psychoeducational interventions in reducing stress and to gain more insight in determining features moderating the magnitude of effects. Relevant studies were selected from 1990 to 2010 and were included according to predetermined criteria. For each study, the standardized mean…
Descriptors: Intervention, Intervals, Stress Variables, Meta Analysis
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Bouhlila, Donia Smaali; Sellaouti, Fethi – Large-scale Assessments in Education, 2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn from the 2007 iteration of the TIMSS database. More precisely, we imputed missing variables contained in the student background datafile for Tunisia (one of the TIMSS 2007 participating countries), by using Van Buuren,…
Descriptors: Databases, Student Characteristics, Error of Measurement, Intervals
Swaminathan, Hariharan; Horner, Robert H.; Rogers, H. Jane; Sugai, George – Society for Research on Educational Effectiveness, 2012
This study is aimed at addressing the criticisms that have been leveled at the currently available statistical procedures for analyzing single subject designs (SSD). One of the vexing problems in the analysis of SSD is in the assessment of the effect of intervention. Serial dependence notwithstanding, the linear model approach that has been…
Descriptors: Evidence, Effect Size, Research Methodology, Intervention
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Biesanz, Jeremy C.; Falk, Carl F.; Savalei, Victoria – Multivariate Behavioral Research, 2010
Theoretical models specifying indirect or mediated effects are common in the social sciences. An indirect effect exists when an independent variable's influence on the dependent variable is mediated through an intervening variable. Classic approaches to assessing such mediational hypotheses (Baron & Kenny, 1986; Sobel, 1982) have in recent years…
Descriptors: Computation, Intervals, Models, Monte Carlo Methods
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Chen, Yi-Chuan; Spence, Charles – Journal of Experimental Psychology: Human Perception and Performance, 2011
We report a series of experiments designed to demonstrate that the presentation of a sound can facilitate the identification of a concomitantly presented visual target letter in the backward masking paradigm. Two visual letters, serving as the target and its mask, were presented successively at various interstimulus intervals (ISIs). The results…
Descriptors: Auditory Stimuli, Stimulation, Intervals, Models
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Lustig, Cindy; Meck, Warren H. – Brain and Cognition, 2011
The perception of time is heavily influenced by attention and memory, both of which change over the lifespan. In the current study, children (8 yrs), young adults (18-25 yrs), and older adults (60-75 yrs) were tested on a duration bisection procedure using 3 and 6-s auditory and visual signals as anchor durations. During test, participants were…
Descriptors: Visual Stimuli, Young Adults, Older Adults, Memory
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LeMire, Steven D. – Journal of Statistics Education, 2010
This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
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Ecker, Ullrich K. H.; Lewandowsky, Stephan; Oberauer, Klaus; Chee, Abby E. H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Working memory updating (WMU) has been identified as a cognitive function of prime importance for everyday tasks and has also been found to be a significant predictor of higher mental abilities. Yet, little is known about the constituent processes of WMU. We suggest that operations required in a typical WMU task can be decomposed into 3 major…
Descriptors: Structural Equation Models, Short Term Memory, Cognitive Processes, Cognitive Ability
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