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John Mart V. DelosReyes; Miguel A. Padilla – Journal of Experimental Education, 2024
Estimating confidence intervals (CIs) for the correlation has been a challenge because the correlation sampling distribution changes depending on the correlation magnitude. The Fisher z-transformation was one of the first attempts at estimating correlation CIs but has historically shown to not have acceptable coverage probability if data were…
Descriptors: Research Problems, Correlation, Intervals, Computation
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
Timo Gnambs; Ulrich Schroeders – Research Synthesis Methods, 2024
Meta-analyses of treatment effects in randomized control trials are often faced with the problem of missing information required to calculate effect sizes and their sampling variances. Particularly, correlations between pre- and posttest scores are frequently not available. As an ad-hoc solution, researchers impute a constant value for the missing…
Descriptors: Accuracy, Meta Analysis, Randomized Controlled Trials, Effect Size
Harari, Ofir; Soltanifar, Mohsen; Cappelleri, Joseph C.; Verhoek, Andre; Ouwens, Mario; Daly, Caitlin; Heeg, Bart – Research Synthesis Methods, 2023
Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…
Descriptors: Networks, Network Analysis, Meta Analysis, Evaluation Methods
Bakbergenuly, Ilyas; Hoaglin, David C.; Kulinskaya, Elena – Research Synthesis Methods, 2020
In random-effects meta-analysis the between-study variance ([tau][superscript 2]) has a key role in assessing heterogeneity of study-level estimates and combining them to estimate an overall effect. For odds ratios the most common methods suffer from bias in estimating [tau][superscript 2] and the overall effect and produce confidence intervals…
Descriptors: Meta Analysis, Statistical Bias, Intervals, Sample Size
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
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
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
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
Zima, Elisabeth – Discourse Processes: A Multidisciplinary Journal, 2020
This article focuses on the relationship between gaze and recipient feedback in triadic storytelling activities. Our starting point to investigate this relationship is an article by Bavelas et al. (2002), who report a statistically significant interaction between feedback and so-called gaze windows in dyadic storytelling activities. The pattern…
Descriptors: Eye Movements, Nonverbal Communication, Feedback (Response), Verbal Communication
Hoyer, Annika; Kuss, Oliver – Research Synthesis Methods, 2019
Diagnostic test accuracy studies frequently report on sensitivities and specificities for more than one threshold of the diagnostic test under study. Although it is obvious that the information from all thresholds should be used for a meta-analysis, in practice, frequently, only a single pair of sensitivity and specificity is selected. To overcome…
Descriptors: Meta Analysis, Diagnostic Tests, Correlation, Intervals
Davis, Josh P.; Bretfelean, L. Diandra; Belanova, Elena; Thompson, Trevor – Applied Cognitive Psychology, 2020
Outstanding long-term face recognition of suspects is a hallmark of the exceptionally skilled police 'super-recognisers' (SRs). Yet, research investigating SR's memory for faces mainly employed brief retention intervals. Therefore, in Experiment 1, 597 participants (121 SRs) viewed 10 target videos and attempted identification of targets from 10…
Descriptors: Human Body, Recognition (Psychology), Identification, Memory
Xinran Li; Peng Ding – Grantee Submission, 2018
Frequentists' inference often delivers point estimators associated with confidence intervals or sets for parameters of interest. Constructing the confidence intervals or sets requires understanding the sampling distributions of the point estimators, which, in many but not all cases, are related to asymptotic Normal distributions ensured by central…
Descriptors: Correlation, Intervals, Sampling, Evaluation Methods
Jacobs, Perke; Viechtbauer, Wolfgang – Research Synthesis Methods, 2017
Meta-analyses are often used to synthesize the findings of studies examining the correlational relationship between two continuous variables. When only dichotomous measurements are available for one of the two variables, the biserial correlation coefficient can be used to estimate the product-moment correlation between the two underlying…
Descriptors: Sampling, Correlation, Meta Analysis, Measurement