Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis

Chin, Wynne W.; Mills, Annette; Steel, Douglas; Schwarz, Andrew

doi:10.1007/978-3-319-40643-5_20

Cited by 44 publications

(44 citation statements)

References 22 publications

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“…Finally, we showed how the network comparison test can be used to compare network models across samples (Van Borkulo et al, ). This approach is similar to item response theory Differential Item Function (DIF) testing (Hambleton and Jones, ; Embretson and Yang, ) or invariance testing in structural equation modeling (Marsh, Morin, Parker, & Kaur, ; Chin, Mills, Steel, & Schwarz, ). We found, in these data, that the structure, but not global strength, varied across clinical versus nonclinical samples, meaning that there were different maintaining symptoms and interactions between symptoms based on the type of sample.…”

Section: Discussionmentioning

confidence: 99%

Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity

Levinson

Brosof

Vanzhula

et al. 2018

Intl J Eating Disorders

125

138

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We identified public eating and drinking as bridge symptoms between EDs and SAD. Future research is needed to test if interventions focused on public eating and drinking might decrease symptoms of both EDs and SAD. Researchers can use this study (code provided) as an exemplar for how to use network analysis, as well as to use network analysis to conceptualize ED comorbidity and compare network structure and density across samples.

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Section: Discussionmentioning

confidence: 99%

Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity

Levinson

Brosof

Vanzhula

et al. 2018

Intl J Eating Disorders

125

138

View full text Add to dashboard Cite

show abstract

“…In establishing convergent validity, a threshold of acceptability of greater than 0.5 was ensured for the value of AVE. (China et al, 2012;Hair et al, 2016;Rasoolimanesh et al, 2017). Findings presented in Column 4 of Table 1 indicate that all AVE values met the requirements for the construct measures' convergent validity, which is above the acceptability value.…”

Section: Model Assessment Utilizing Pls-semmentioning

confidence: 86%

“…Measurement invariance, which is also known as measurement equivalence, is a crucial step in cross-group investigation (Ruzzier et al, 2014). This technique enables researchers to identify whether parameters of the structural model and measurement model are equivalent (i.e., invariance) across two or more groups (China et al, 2012). Measurement invariance is needed to be sure that the differences are not attributable to measurement model differences across the groups (Kock, 2017).…”

Section: Measurement Invariance and Multi-group Analysismentioning

confidence: 99%

Using Importance-Performance Matrix Analysis to Evaluate the Financial Performance of American Banks During the Financial Crisis

Tailab

2020

SAGE Open

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This research applies a technique that identifies areas of improvement that can be addressed by managerial decisions or policy activities. It extends the application of partial least squares structural equation modeling (PLS-SEM) using an importance-performance map analysis (IPMA). The IPMA determines priority factors that should receive management’s attention. The PLS path model was tested by comparing 140 failed U.S. banks with the same number of nonfailed banks from 2006 to 2008. This model assembles 15 indicators with four predecessor constructs (i.e., profitability of 2006, profitability of 2007, risk of 2006, and risk of 2007) and one final target construct (i.e., profitability of 2008). Profitability and risk of 2007 mediate the path of profitability and risk of 2006 and profitability of 2008. The IPMA indicated that failed banks were predisposed to decreasing financial performance in 2008 because of their poor performance in 2006 and 2007. Conversely, nonfailed banks were more likely to experience increasing financial performance in 2008 because of their positive performance in 2006 and 2007. This study indicates that managers who use IPMA to prioritize their financial decisions will obtain useful conceptual insights and are unlikely to be misled. Although IPMA can be conducted on the indicator level as well, this article limits its analysis by focusing on the construct level only. The use of IPMA is ubiquitous in end-user surveys, but its application to banking is still in its embryonic state. For originality, this work prioritizes the application of IPMA using secondary data collected from financial statements to assess the performance of American banks during the crisis.

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“…To overcome the ns Note: t1: ratings prior to sports event, t2: ratings following sports event, ** p≤.05, * p≤.07 (marginal path significance) Table 6. Results of Multi-Group Analysis limitation regarding different sample sizes for both groups, the researchers checked the measurements' invariance to address any problems raised in further analysis (Chin et al, 2012). A multi-group simultaneous path analysis was conducted to determine whether the path coefficients for the relationships between sponsor brand awareness, image, perceived quality, brand relationship satisfaction, brand commitment, and brand loyalty were equal across the two groups.…”

Section: Hypothesis Tests Through Multi-group Analysismentioning

confidence: 99%

The Effect of Sponsor’s Brand on Consumer–Brand Relationship in Sport Sponsorship

Lee¹,

Jin²

2019

Glob Bus Financ Rev

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This study examines the impact of brand awareness, image, and perceived quality on the consumer-brand relationship by using survey data collected from 560 sports fans to compare their attitudes towards a corporate sponsor prior to and following the 2018 FIFA World Cup Russia soccer event. The study tests nine hypotheses to explain consumer attitude formation prior to and following the sponsored sports event. This study was organized as a model that was developed to illustrate the manner in which brand awareness, image, and perceived quality of a sponsor's brand would have positive effects on consumer-brand relationship satisfaction and brand commitment, and how that brand commitment and satisfaction would positively affect brand loyalty. Therefore, since brand awareness, image, and perceived quality can amplify limitations on consumers' brand perception and decision-making behaviors, the knowledge provided by this conceptual model is likely to help both brand managers and practitioners in the spectator sports industry better understand consumer perceptions of sports sponsorship events as well as help them develop tools to design sports sponsorship brand programs that are more effective at targeting specific consumers.

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Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis

Cited by 44 publications

References 22 publications

Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity

Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity

Using Importance-Performance Matrix Analysis to Evaluate the Financial Performance of American Banks During the Financial Crisis

The Effect of Sponsor’s Brand on Consumer–Brand Relationship in Sport Sponsorship

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