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Alexander Robitzsch; Oliver Lüdtke – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes. In a recent study, Bailey et al. demonstrated through a simulation study that the between-person variance components in the RICLPM can occur only due…
Descriptors: Longitudinal Studies, Correlation, Time, Simulation
Smith, Audrey G.; Sandage, Mary J.; Pascoe, David D.; Plexico, Laura W.; Lima, Italo R.; Cao, Guanqun – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Translating exercise-science methodology for determination of muscle bioenergetics, we hypothesized that the temporal voice-use patterns for classroom and music teachers would indicate a reliance on the immediate energy system for laryngeal skeletal-muscle metabolism. It was hypothesized that the music-teacher group would produce longer…
Descriptors: Elementary School Teachers, Music Teachers, Energy, Metabolism
Li, Xin; Beretvas, S. Natasha – Structural Equation Modeling: A Multidisciplinary Journal, 2013
This simulation study investigated use of the multilevel structural equation model (MLSEM) for handling measurement error in both mediator and outcome variables ("M" and "Y") in an upper level multilevel mediation model. Mediation and outcome variable indicators were generated with measurement error. Parameter and standard…
Descriptors: Sample Size, Structural Equation Models, Simulation, Multivariate Analysis
Baydogan, Mustafa Gokce – ProQuest LLC, 2012
Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning…
Descriptors: Mathematical Models, Multivariate Analysis, Statistical Data, Computation
Ngan, Chun-Kit – ProQuest LLC, 2013
Making decisions over multivariate time series is an important topic which has gained significant interest in the past decade. A time series is a sequence of data points which are measured and ordered over uniform time intervals. A multivariate time series is a set of multiple, related time series in a particular domain in which domain experts…
Descriptors: Multivariate Analysis, Time, Intervals, Decision Making
Kawakatsu, Yoshito; Sugishita, Tomohiko; Oruenjo, Kennedy; Wakhule, Stephen; Kibosia, Kennedy; Were, Eric; Honda, Sumihisa – Health Education Research, 2015
Background: Mother and Child Health handbooks (MCH handbooks) serve as useful health education tools for mothers and sources of information that allow health care professionals to understand patient status. Therefore, it is necessary to clarify the effectiveness of and identify the factors related to possession of an MCH handbook among parents in…
Descriptors: Guides, Access to Information, Ownership, Parent Materials
Taub, Gordon E.; McGrew, Kevin S.; Keith, Timothy Z. – Journal of Research in Childhood Education, 2015
This article examines the effect of improvements in timing/rhythmicity on mathematics achievement. A total of 86 participants attending 1st through 4th grades completed pre- and posttest measures of mathematics achievement from the Woodcock-Johnson III Tests of Achievement. Students in the experimental group participated in a 4-week intervention…
Descriptors: Elementary School Students, Elementary School Mathematics, Mathematics Achievement, Intervals
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
Soreth, Michelle Ennis; Hineline, Philip N. – Journal of the Experimental Analysis of Behavior, 2009
Preference for working on variable schedules and temporal discrimination were simultaneously examined in two experiments using a discrete-trial, concurrent-chains arrangement with fixed interval (FI) and random interval (RI) terminal links. The random schedule was generated by first sampling a probability distribution after the programmed delay to…
Descriptors: Intervals, Reinforcement, Probability, Experiments
Odgaard, Eric C.; Fowler, Robert L. – Journal of Consulting and Clinical Psychology, 2010
Objective: In 2005, the "Journal of Consulting and Clinical Psychology" ("JCCP") became the first American Psychological Association (APA) journal to require statistical measures of clinical significance, plus effect sizes (ESs) and associated confidence intervals (CIs), for primary outcomes (La Greca, 2005). As this represents the single largest…
Descriptors: Intervals, Effect Size, Compliance (Psychology), Clinical Psychology
Lisonkova, Sarka; Sheps, Samuel B.; Janssen, Patricia A.; Lee, Shoo K.; Dahlgren, Leanne; MacNab, Ying C. – Journal of Rural Health, 2011
Purpose: We examined the association between rural residence and birth outcomes in older mothers, the effect of parity on this association, and the trend in adverse birth outcomes in relation to the distance to the nearest hospital with cesarean-section capacity. Methods: A population-based retrospective cohort study, including all singleton…
Descriptors: Prenatal Care, Intervals, Mothers, Hospitals
Steyn, H. S., Jr.; Ellis, S. M. – Multivariate Behavioral Research, 2009
When two or more univariate population means are compared, the proportion of variation in the dependent variable accounted for by population group membership is eta-squared. This effect size can be generalized by using multivariate measures of association, based on the multivariate analysis of variance (MANOVA) statistics, to establish whether…
Descriptors: Effect Size, Multivariate Analysis, Computation, Monte Carlo Methods
Bonett, Douglas G. – Psychological Methods, 2008
The currently available meta-analytic methods for correlations have restrictive assumptions. The fixed-effects methods assume equal population correlations and exhibit poor performance under correlation heterogeneity. The random-effects methods do not assume correlation homogeneity but are based on an equally unrealistic assumption that the…
Descriptors: Intervals, Multivariate Analysis, Meta Analysis, Correlation
Riley-Tillman, T. Chris; Christ, Theodore J.; Chafouleas, Sandra M.; Boice-Mallach, Christina H.; Briesch, Amy – Journal of Positive Behavior Interventions, 2011
In this study, evaluation of direct behavior rating (DBR) occurred with regard to two primary areas: (a) accuracy of ratings with varied instrumentation (anchoring: proportional or absolute) and procedures (observation length: 5 min, 10 min, or 20 min) and (b) one-week test-retest reliability. Participants viewed video clips of a typical third…
Descriptors: Behavior Problems, Observation, Grade 3, Reliability
Wagstaff, David A.; Elek, Elvira; Kulis, Stephen; Marsiglia, Flavio – Journal of Primary Prevention, 2009
A nonparametric bootstrap was used to obtain an interval estimate of Pearson's "r," and test the null hypothesis that there was no association between 5th grade students' positive substance use expectancies and their intentions to not use substances. The students were participating in a substance use prevention program in which the unit of…
Descriptors: Intervals, Prevention, Grade 5, Nonparametric Statistics
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