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Curran, Patrick J.; Hancock, Gregory R. – Child Development Perspectives, 2021
One of the most vexing challenges facing developmental researchers today is the statistical modeling of two or more behaviors as they unfold jointly over time. Although quantitative methodologists have studied these issues for more than half a century, no widely agreed-upon principled strategy exists to empirically analyze codevelopmental…
Descriptors: Research, Statistical Analysis, Developmental Psychology, Mathematical Models
Commeford, Kelley; Brewe, Eric; Traxler, Adrienne – Physical Review Physics Education Research, 2022
The vast majority of research involving active learning pedagogies uses passive lecture methods as a baseline. We propose to move beyond such comparisons to understand the mechanisms that make different active learning styles unique. Here, we use COPUS observations to record student and instructor activities in six known styles of active learning…
Descriptors: Active Learning, Teaching Methods, Cognitive Style, Physics
Bosch, Nigel; Paquette, Luc – Journal of Educational Data Mining, 2021
Transition metrics, which quantify the propensity for one event to follow another, are often utilized to study sequential patterns of behaviors, emotions, actions, and other states. However, little is known about the conditions in which application of transition metrics is appropriate. We report on two experiments in which we simulated sequences…
Descriptors: Sequential Approach, Probability, Measurement Techniques, Statistical Analysis
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
Wodtke, Geoffrey T. – Sociological Methods & Research, 2020
Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…
Descriptors: Regression (Statistics), Computation, Statistical Analysis, Statistical Bias
Peter Schochet – Society for Research on Educational Effectiveness, 2021
Background: When RCTs are not feasible and time series data are available, panel data methods can be used to estimate treatment effects on outcomes, by exploiting variation in policies and conditions over time and across locations. A complication with these methods, however, is that treatment timing often varies across the sample, for example, due…
Descriptors: Statistical Analysis, Computation, Randomized Controlled Trials, COVID-19
Hancock, Gregory R.; Johnson, Tessa – AERA Online Paper Repository, 2018
Longitudinal models provide researchers with a framework for investigating key aspects of change over time, but rarely is "time" itself modeled as a focal parameter of interest. Rather than treat time as purely an index of measurement occasions, the proposed Time to Criterion (T2C) growth model allows for modeling individual variability…
Descriptors: Statistical Analysis, Longitudinal Studies, Time, Structural Equation Models
Aguirre, Roberto; Santiago, Julio – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
Current evidence provides support for the idea that time is mentally represented by spatial means, i.e., a left-right mental timeline. However, available studies have tested only factual events, i.e., those which have occurred in the past or can be predicted to occur in the future. In the present study we tested whether past and future potential…
Descriptors: Time, Spatial Ability, Classification, Evaluative Thinking
von Oertzen, Timo; Schmiedek, Florian; Voelkle, Manuel C. – Journal of Intelligence, 2020
Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the…
Descriptors: Cognitive Ability, Individual Differences, Statistical Analysis, Factor Analysis
Daniel, Thomas A.; Katz, Jeffrey S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Historically, much of what we know about human memory has been discovered in experiments using visual and verbal stimuli. In two experiments, participants demonstrated reliably high recognition for nonverbal liquids. In Experiment 1, participants showed high accuracy for recognizing tastes (bitter, salty, sour, sweet) over a 30-s delay in a…
Descriptors: Memory, Perception, Recognition (Psychology), Accuracy
Borszcz, Fernando K.; Tramontin, Artur F.; de Souza, Kristopher M.; Carminatti, Lorival J.; Costa, Vitor P. – Research Quarterly for Exercise and Sport, 2018
Purpose: Several studies have demonstrated that physiological variables predict cycling endurance performance. However, it is still unclear whether the predictors will change over different performance durations. The aim of this study was to assess the correlations between physiological variables and cycling time trials with different durations.…
Descriptors: Exercise Physiology, Physical Activities, Correlation, Performance
Kruijne, Wouter; Meeter, Martijn – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Studies on "intertrial priming" have shown that in visual search experiments, the preceding trial automatically affects search performance: facilitating it when the target features repeat and giving rise to switch costs when they change--so-called (short-term) intertrial priming. These effects also occur at longer time scales: When 1 of…
Descriptors: Priming, Color, Bias, Long Term Memory
Ben Kenward; Felix-Sebastian Koch; Linda Forssman; Julia Brehm; Ida Tidemann; Annette Sundqvist; Carin Marciszkom; Tone Kristine Hermansen; Mikael Heimann; Gustaf Gredebäck – Developmental Psychology, 2017
Saccade latency is widely used across infant psychology to investigate infants' understanding of events. Interpreting particular latency values requires knowledge of standard saccadic RTs, but there is no consensus as to typical values. This study provides standard estimates of infants' (n = 194, ages 9 to 15 months) saccadic RTs under a range of…
Descriptors: Reaction Time, Infant Behavior, Infants, Adults
Scott, Stacey B.; Ram, Nilam; Smyth, Joshua M.; Almeida, David M.; Sliwinski, Martin J. – Developmental Psychology, 2017
Research on age differences in the experience of negative emotional states have produced inconsistent results, particularly when emotion is examined in the context of daily stress. Strength and vulnerability integration (SAVI; Charles, 2010) theory postulates that age differences in emotional states are contingent upon whether a stressor occurred,…
Descriptors: Age Differences, Emotional Response, Time, Stress Variables
Guo, Hongwen; Deane, Paul D.; van Rijn, Peter W.; Zhang, Mo; Bennett, Randy E. – Journal of Educational Measurement, 2018
The goal of this study is to model pauses extracted from writing keystroke logs as a way of characterizing the processes students use in essay composition. Low-level timing data were modeled, the interkey interval and its subtype, the intraword duration, thought to reflect processes associated with keyboarding skills and composition fluency.…
Descriptors: Writing Processes, Writing (Composition), Essays, Models