Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

Gu, Fei; Yung, Yiu-Fai; Cheung, Mike W.‐L.

doi:10.1080/00273171.2018.1512847

Cited by 9 publications

(9 citation statements)

References 31 publications

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“…To provide a test on significant overlap between EAS and the two ECQ versions with respect to our hypotheses H1a, H1b, and H2, we conducted a canonical correlation analysis following Gu et al (2019; also see Kim & Shin, 2021, for a content‐related application) between three sets of variables (the four EAS and the four ECQ scale self‐reports and observations), and results are given in Table 3 with a significant test of the first root (any second root was not significant). Table 4 reports in more detail the explained variance in each of the EAS and ECQ measures based on results from the canonical correlation analysis.…”

Section: Resultsmentioning

confidence: 99%

Are emotionally competent adults emotionally available parents? Examination of theoretical and empirical relationships in a video‐recorded parent–child interaction clinical preschool‐aged sample

et al. 2023

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Objective Emotional competence (EC) describes one's general ability to perceive, express, process, and regulate their own emotions as well as those of others. In the clinical context of parent–child interactions, the specific ability to perceive, express and regulate a child's emotions is conceptually covered by the Emotional Availability Scales (EAS). We aim to examine theoretical and empirical overlaps between EC (Rindermann) and emotional availability (EA; Biringen) for theoretical, diagnostic, and therapeutic reasons. Methods Parents of a clinically referred sample of preschool‐aged children (55 dyads) filled out a self‐report questionnaire (ECQ), and certified and blinded raters applied the EAS via observations. In a novel approach, the EC was additionally estimated with independent ratings made by two further observers. All dyads were coded on 10‐min video‐recorded parent–child interactions during free play. Results In bivariate and multivariate analyses, EC scores from observational ratings were strongly associated with independently rated clinical emotional availability scores. EC scores from self‐reports were moderately associated with emotional availability scores. A post hoc power analysis estimated β error probabilities. Conclusions EC may represent an important personal precondition to an emotionally available parent. As such, we discuss implications for early risk factor assessments for child development and highlight new prevention approaches, new diagnostic options, and refined treatment goals. Limitations included the sample size, assessment, and the influence of study design on results.

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Section: Resultsmentioning

confidence: 99%

Are emotionally competent adults emotionally available parents? Examination of theoretical and empirical relationships in a video‐recorded parent–child interaction clinical preschool‐aged sample

et al. 2023

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“…For the purposes of this study CCA was preferred to structural equation modeling (SEM), although CCA could be expressed within the framework of SEM 36 . However, the SEM approach to CCA is complicated 37 . The CCA approach has two additional advantages.…”

Section: Methodsmentioning

confidence: 99%

“…36 However, the SEM approach to CCA is complicated. 37 The CCA approach has two additional advantages. Firstly, CCA is more exploratory, whereas SEM can be confirmatory and requires a well-established measurement model.…”

Section: Data Analysis Planmentioning

confidence: 99%

Discerning critical stressors and resources in the lives of cancer patients: A multivariate analysis of targets of intervention for enhancing cancer care and quality of life

et al. 2022

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Objective: This study examined the relationship between a broad variety of stressors, resources, and outcomes to identify targets of intervention to enhance the quality of life of cancer patients and contribute to a comprehensive model of cancer care.Methods: Five hundred and sixty persons with a diagnosis of cancer completed measures of stressors (past negative life events, current problems, current symptoms, comorbidities), resources (coping self-efficacy, social support, satisfaction with care) and outcomes (emotional and functional well-being). Results: Multivariate canonical correlations between pairs of canonical variates

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“…In applications of canonical correlation analysis (CCA), rotation of the canonical loadings is recommended to facilitate the interpretation of canonical variates. Based on the COSAN modeling approach to CCA proposed by (Gu et al 2019), we describe the infinitesimal jackknife (IJ) method in modified COSAN -CCA models to obtain the IJ estimates of standard errors for rotated CCA estimates. Specifically, given two CCA rotation strategies (i.e., concurrent and separate) and two types of rotation method (i.e., orthogonal and oblique), our descriptions of the modified COSAN-CCA models and IJ method cover four rotation strategy-method combinations: concurrent-orthogonal, concurrent-oblique, separate-orthogonal, and separate-oblique.…”

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confidence: 99%

Introduction to the vol. 48, no. 1, 2021

Ueno

2021

Behaviormetrika

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In this issue, we have the following one invited paper, five original papers, one note, and two shot notes.The invited paper "WAIC and WBIC for Mixture Models" is presented by Watanabe (2021). This paper introduces mathematical foundation and computing methods of WAIC and WBIC in a normal mixture which is a typically singular statistical model, and discuss their properties in statistical inference. Also this paper demonstrates the case that samples are not independently and identically distributed, for example, they are conditional independent or exchangeable.The original paper "Monte Carlo detection of examinees with item preknowledge" by Dimitry Belov develops a new Monte Carlo approach for detecting examinees with Item Preknowledge (IP) by estimating mean of a performance gain on a random sample of items (drawn from the administered test) relative to another random sample (Belov 2021). Two samples are constructed such that for an examinee without IP, the gain should be low; meanwhile, for an examinee with IP, if the first sample has more compromised items than the second sample, the gain should not be low. Comparison study with the previous studies using data simulating the general case of IP demonstrated a dramatic improvement of detection rates (over five times on average) when using the Monte Carlo approach. Even higher improvement (over 25 times) was observed in experiments with two publicly available real datasets. Recommendations for practitioners and extensions of the Monte Carlo approach are provided.The original paper "Small and Negative Correlations Among Clustered Observations: Limitations of the Linear Mixed Effects Model" by Natalie M. Nielsen, Wouter A. C. Smink, and Jean-Paul Fox addresses the linear mixed effects model (Nielsen et al. 2021). Random effects in a mixed effects model can model a positive correlation among clustered observations but not a negative correlation. As negative clustering effects are largely unknown to the sheer majority of the research community, they conducted a simulation study to detail the bias that occurs when analyzing negative clustering effects with the linear mixed effects model. They also demonstrate that ignoring a small negative correlation leads to deflated Type-I

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Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

Cited by 9 publications

References 31 publications

Are emotionally competent adults emotionally available parents? Examination of theoretical and empirical relationships in a video‐recorded parent–child interaction clinical preschool‐aged sample

Are emotionally competent adults emotionally available parents? Examination of theoretical and empirical relationships in a video‐recorded parent–child interaction clinical preschool‐aged sample

Discerning critical stressors and resources in the lives of cancer patients: A multivariate analysis of targets of intervention for enhancing cancer care and quality of life

Introduction to the vol. 48, no. 1, 2021

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