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Andrea Hasl; Manuel Voelkle; Charles Driver; Julia Kretschmann; Martin Brunner – Structural Equation Modeling: A Multidisciplinary Journal, 2024
To examine developmental processes, intervention effects, or both, longitudinal studies often aim to include measurement intervals that are equally spaced for all participants. In reality, however, this goal is hardly ever met. Although different approaches have been proposed to deal with this issue, few studies have investigated the potential…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Student Promotion
Liu, Tzu-Chien; Lin, Yi-Chun; Kalyuga, Slava – Australasian Journal of Educational Technology, 2022
System pausing at pre-determined positions during multimedia presentations can enhance multimedia learning. However, the pause positions are usually set up based on the structure of the learning material (e.g., segmentation principle) rather than on the complexity of its different sections (as determined by levels of element interactivity,…
Descriptors: Multimedia Instruction, Multimedia Materials, Undergraduate Students, Intervals
Crozier, William E.; Strange, Deryn – Applied Cognitive Psychology, 2019
Decades of memory research have demonstrated a dire need for effective methods of correcting misinformation, particularly once it has been encoded. However, much of this research has exposed participants to misinformation first then provided a correction, and used indirect memory questions. Using a misinformation effect (ME) paradigm, in which…
Descriptors: Memory, Misconceptions, Error Patterns, Error Correction
Shieh, Gwowen – Journal of Experimental Education, 2019
The analysis of covariance (ANCOVA) is a useful statistical procedure that incorporates covariate features into the adjustment of treatment effects. The consequences of omitted prognostic covariates on the statistical inferences of ANCOVA are well documented in the literature. However, the corresponding influence on sample-size calculations for…
Descriptors: Sample Size, Statistical Analysis, Computation, Accuracy
Liang, Xinya – Educational and Psychological Measurement, 2020
Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both…
Descriptors: Factor Structure, Bayesian Statistics, Structural Equation Models, Goodness of Fit
Holmberg, Carrie; Muwwakkil, Jamaal – Phi Delta Kappan, 2020
Linguists have found that certain dynamics of conversation are consistent across languages worldwide, and these dynamics can affect the classroom discussions that teachers use to assess student understanding and make instructional decisions. Carrie Holmberg and Jamaal Muwwakkil discuss how conversational pauses, for example, might lead questioners…
Descriptors: Classroom Communication, Discussion (Teaching Technique), Questioning Techniques, Responses
Raykov, Tenko; Al-Qataee, Abdullah A.; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2020
A procedure for evaluation of validity related coefficients and their differences is discussed, which is applicable when one or more frequently used assumptions in empirical educational, behavioral and social research are violated. The method is developed within the framework of the latent variable modeling methodology and accomplishes point and…
Descriptors: Validity, Evaluation Methods, Social Science Research, Correlation
Marlene Bönstrup; Iñaki Iturrate; Martin N. Hebart; Nitzan Censor; Leonardo G. Cohen – npj Science of Learning, 2020
Performance improvements during early human motor skill learning are suggested to be driven by short periods of rest during practice, at the scale of seconds. To reveal the unknown mechanisms behind these "micro-offline" gains, we leveraged the sampling power offered by online crowdsourcing (cumulative N over all experiments = 951).…
Descriptors: Memory, Time Factors (Learning), Skill Development, Intervals
Ferguson, Tyler David; Briesch, Amy M.; Volpe, Robert J.; Donaldson, Aberdine R.; Feinberg, Adam B. – Assessment for Effective Intervention, 2018
Time-sampling techniques are popular among school practitioners and researchers alike when conducting observations of student behavior. Despite their popularity, the psychometric properties of such observation data have not received much attention, likely given that both procedures and targets vary widely across individual coding systems. A…
Descriptors: Observation, Psychometrics, Student Behavior, Sampling
McArdle, Paige E.; McMahon, Meara X. H.; Ardoin, Scott P.; Trump, Cary E.; Molony, Maggie A. – Journal of Behavioral Education, 2021
The time students spend actively engaged with instruction is positively correlated with their academic achievement (Dotterer and Lowe in J Youth Adolesc 40:1649-1660, 2011). Conversely, the time spent transitioning between activities is inversely related to the time spent in productive learning activities, thus limiting opportunities for student…
Descriptors: Elementary School Students, Time on Task, Learner Engagement, Academic Achievement
Papadakis, Zacharias; Forsse, Jeffrey S.; Peterson, Matthew N. – Research Quarterly for Exercise and Sport, 2021
Sleep deprivation in healthy adults has been associated with disrupted autonomic nervous system function, which in turn has been linked to cardiovascular health. High-intensity interval exercise (HIIE) may affect both sleep and cardiac autonomic modulation. Purpose: To investigate the impact of acute partial sleep deprivation on autonomic cardiac…
Descriptors: Exercise Physiology, Body Composition, Physical Activity Level, Physical Fitness
Crosier, David; De Lel, Gisèle – European Education and Culture Executive Agency, European Commission, 2021
The academic calendar contains national data on how the academic year is structured (beginning of the academic year, term times, holidays and examination periods). Differences between university and non-university study programmes are also highlighted. The information is available for 37 countries. [For the 2020/21 report, see ED610818.]
Descriptors: Foreign Countries, School Schedules, Universities, Public Colleges
Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Harrison, Michael – Educational and Psychological Measurement, 2019
This note highlights and illustrates the links between item response theory and classical test theory in the context of polytomous items. An item response modeling procedure is discussed that can be used for point and interval estimation of the individual true score on any item in a measuring instrument or item set following the popular and widely…
Descriptors: Correlation, Item Response Theory, Test Items, Scores
Tu, Shen; Liu, Chengzhen; Zhu, SiShi; Jou, Jerwen; Zhou, Yajuan; Wan, Simin – Journal of Psycholinguistic Research, 2019
In the present study, we showed evidence of an integration between two unconscious semantic representations. In experiment 1, two masked Chinese words of the same or different categories ("orange apple" or "grape hammer") were simultaneously presented in the prime, followed by two Chinese words also of same or different…
Descriptors: Semantics, Chinese, Priming, Cues
Unsworth, Nash; Robison, Matthew K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
A cognitive-energetic account of individual differences in working memory capacity (WMC) and sustained attention performance is proposed suggesting that variation in the voluntary control of the intensity of attention (intrinsic alertness) is critical for the relation between WMC and attention control. Four experiments examining individual…
Descriptors: Short Term Memory, Attention, Individual Differences, Reaction Time