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Kelley, Ken; Preacher, Kristopher J. – Psychological Methods, 2012
The call for researchers to report and interpret effect sizes and their corresponding confidence intervals has never been stronger. However, there is confusion in the literature on the definition of effect size, and consequently the term is used inconsistently. We propose a definition for effect size, discuss 3 facets of effect size (dimension,…
Descriptors: Intervals, Effect Size, Correlation, Questioning Techniques
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Miller, Kim S.; Fasula, Amy M.; Lin, Carol Y.; Levin, Martin L.; Wyckoff, Sarah C.; Forehand, Rex – Journal of Early Adolescence, 2012
Understanding of preadolescent sexuality is limited. To help fill this gap, we calculated frequencies, percentages, and confidence intervals for 1,096 preadolescents' reports of sexual thoughts, intentions, and sexual behavior. Cochran-Armitage trend tests accounted for age effects. Findings show that 9-year-olds are readying for sexual activity,…
Descriptors: Risk, Health Behavior, Intervals, Prevention
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Liu, Xiaofeng Steven – International Journal of Mathematical Education in Science and Technology, 2012
The statistical power of a significance test is closely related to the length of the confidence interval (i.e. estimate precision). In the case of a "Z" test, the length of the confidence interval can be expressed as a function of the statistical power. (Contains 1 figure and 1 table.)
Descriptors: Statistical Analysis, Intervals, Statistical Significance, Statistics
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Soler Vilageliu, Olga; Kandel, Sonia – Reading and Writing: An Interdisciplinary Journal, 2012
Previous studies have shown the relevance of the syllable as a programming unit in handwriting production, both in adults and elementary school children. This longitudinal study focuses on the acquisition of writing skills in a group of preschoolers. It examines how and when the syllable structure of the word starts regulating motor programming in…
Descriptors: Elementary School Students, Intervals, Syllables, Handwriting
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Ertmer, David J.; Jung, Jongmin – American Journal of Speech-Language Pathology, 2012
Purpose: To determine the concurrent validity of the Conditioned Assessment of Speech Production (CASP; Ertmer & Stoel-Gammon, 2008) and data obtained from speech samples recorded at the same intervals. Method: Nineteen children who are deaf who received cochlear implants before their 3rd birthdays participated in the study. Speech samples and…
Descriptors: Assistive Technology, Validity, Speech, Intervals
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Forrest, Charlotte L. D.; Monsell, Stephen; McLaren, Ian P. L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Task-cuing experiments are usually intended to explore control of task set. But when small stimulus sets are used, they plausibly afford learning of the response associated with a combination of cue and stimulus, without reference to tasks. In 3 experiments we presented the typical trials of a task-cuing experiment: a cue (colored shape) followed,…
Descriptors: Experimental Psychology, Cues, Visual Stimuli, Color
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Holm, Linus; Ullen, Fredrik; Madison, Guy – Journal of Experimental Psychology: Human Perception and Performance, 2013
We investigated the causal role of executive control functions in the production of brief time intervals by means of a concurrent task paradigm. To isolate the influence of executive functions on timing from motor coordination effects, we dissociated executive load from the number of effectors used in the dual task situation. In 3 experiments,…
Descriptors: Foreign Countries, Models, Executive Function, Time
Chow, Wing Yee – ProQuest LLC, 2013
This thesis explores how predictions about upcoming language inputs are computed during real-time language comprehension. Previous research has demonstrated humans' ability to use rich contextual information to compute linguistic prediction during real-time language comprehension, and it has been widely assumed that contextual information can…
Descriptors: Reading Comprehension, Language Processing, Prediction, Eye Movements
Education, Audiovisual and Culture Executive Agency, European Commission, 2013
This 2011/12 academic calendar contains national data on how the academic year is structured (beginning of the academic year, teaching activity, holidays, examination periods, and end of the academic year). Differences between university and non-university study programmes are also highlighted. [For the 2010/11 report, see ED593940.]
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Education, Audiovisual and Culture Executive Agency, European Commission, 2013
This 2009/10 academic calendar contains national data on how the academic year is structured (beginning of the academic year, teaching activity, holidays, examination periods, and end of the academic year). Differences between university and non-university study programmes are also highlighted.
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Education, Audiovisual and Culture Executive Agency, European Commission, 2013
This 2010/11 academic calendar contains national data on how the academic year is structured (beginning of the academic year, teaching activity, holidays, examination periods, and end of the academic year). Differences between university and non-university study programmes are also highlighted. [For the 2009/10 report, see ED593939.]
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Education, Audiovisual and Culture Executive Agency, European Commission, 2013
This 2012/13 academic calendar contains national data on how the academic year is structured (beginning of the academic year, teaching activity, holidays, examination periods, and end of the academic year). Differences between university and non-university study programmes are also highlighted. [For the 2011/12 report, see ED593929.]
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
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Doebler, Anna; Doebler, Philipp; Holling, Heinz – Psychometrika, 2013
The common way to calculate confidence intervals for item response theory models is to assume that the standardized maximum likelihood estimator for the person parameter [theta] is normally distributed. However, this approximation is often inadequate for short and medium test lengths. As a result, the coverage probabilities fall below the given…
Descriptors: Foreign Countries, Item Response Theory, Computation, Hypothesis Testing
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Abayomi, Kobi; Pizarro, Gonzalo – Social Indicators Research, 2013
We offer a straightforward framework for measurement of progress, across many dimensions, using cross-national social indices, which we classify as linear combinations of multivariate country level data onto a univariate score. We suggest a Bayesian approach which yields probabilistic (confidence type) intervals for the point estimates of country…
Descriptors: Bayesian Statistics, Intervals, Guidelines, Measurement
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Ruscio, John; Gera, Benjamin Lee – Multivariate Behavioral Research, 2013
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate estimates of effect size. For 2-group comparisons, a probability-based effect size estimator ("A") has many appealing properties (e.g., it is easy to understand, robust to violations of parametric assumptions, insensitive to outliers). We review…
Descriptors: Psychological Studies, Gender Differences, Researchers, Test Results
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