Power Analysis in Covariance Structure Modeling Using GFI and AGFI

MacCallum, Robert C.; Sehee, Hong

doi:10.1207/s15327906mbr3202_5

Cited by 379 publications

(196 citation statements)

References 4 publications

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“…The Adjusted Goodness of Fit Index (AGFI) value was .841. Macallum and Hong [21] stated AGFI value should greater .800. The Comparative Fit Index (CFI) value was .937, while the CFI value has been discussed its value should close to 1.00.…”

Section: Resultsmentioning

confidence: 99%

The Role of Customer Involvement in Mediating the Relationship Between Brand Equity and Customer Loyalty

Huang¹,

Hu²,

Liu³

et al. 2017

Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)

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Abstract-The prior research indicated there were significant relationship between customer involvement, brand equity, and customer loyalty. The purpose for the study was to find out how customer involvement mediates the relationship between brand equity and customer loyalty. The participants for this research were selected as the consumers having the shopping experience for smart phone in Taiwan, resulting in 182 individual surveys for this research. The results supported hypothesis and revealed brand equity and customer involvement had significant and positive relationship with customer loyalty, while customer involvement has partial indirect effect on customer loyalty in path analysis. Finally, this research generated the suggestions for business strategies and suggested future scholar studies. [7] defined customer loyalty was the customer's attitude for re-purchasing intentions for buying same products. Jones and Sasser [8] recognized the customer involvement was a significant factor to influence customer behavior and argued the different level of customer involvement will affect customer purchasing behavior. Knox and Walker [9] indicated customer involvement will affect the final decision during purchasing procedure and the higherinvolved customer will behave higher loyalty. And this behavioral intention will help to maintain the business relationship between customers and companies. KeywordsHu [10] and Hu [11] conducted a research and supported the concept that customer involvement, brand equity, and perceived risk, had significant and positive relationship with customer loyalty. Based on the research by Olsen [12], the customer involvement has acted a complete mediator role between customer satisfaction and repurchase loyalty. Knox and Walker [9]claimed customer involvement played an important role when maintain loyalty relationship with customer. Previous studies have suggested there were significant and positive relationship between customer loyalty, brand equity, and customer involvement. This research expanded these theories and ground studies, conducted more detailed analysis, and intended to examine the indirect effect of customer involvement for the relationship between brand equity and customer loyalty. II. RESEARCH HYPOTHESESThis study tried to investigate: (a) to examine the indirect effect of customer Involvement for the relationship between brand equity and customer loyalty.(b) to create the suggestions for business application for electrical consumer products, and (c) to find out areas for future scholarly inquiry. Baron and Kenny [13] suggested a variable function as a mediator when it meets the conditions as follow: (a) variations in levels of the independent variable able significantly account for variations in the presumed mediator., (b) variations in the mediator significantly account for variations in the dependent variable., (c) When (a) and (b) were controlled, a previously significant relationship between the independent variable and dependent variable was no longer significant, thi...

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Section: Resultsmentioning

confidence: 99%

The Role of Customer Involvement in Mediating the Relationship Between Brand Equity and Customer Loyalty

Huang¹,

Hu²,

Liu³

et al. 2017

Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)

View full text Add to dashboard Cite

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“…If teachers can accurately evaluate and adapt their interventions to students' needs, students might work together productively to realize the many potential benefits of CL. 1 Researchers have identified several robust goodness-of-fit measures using Monte Carlo simulation studies (Gerbing & Anderson, 1993;Hu & Bentler, 1995;Marsh, Balla, & McDonald, 1988;MacCallum & Hong, 1997). These measures include the comparative fit index (CFI), incremental fit index (IFI), Tucker-Lewis index (TLI; also known as the nonnormed fit index; Tucker & Lewis, 1973), and root mean square error of approximation (RMSEA).…”

Section: Resultsmentioning

confidence: 99%

Adapting Teacher Interventions to Student Needs During Cooperative Learning: How to Improve Student Problem Solving and Time On-Task

Chiu

2004

American Educational Research Journal

112

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This study tested a model of teacher interventions (TIs) conducted during cooperative learning to examine how they affected students' subsequent time on-task (TOT) and problem solving. TIs involved groups of ninthS uppose you are a teacher and have several groups of students working on an algebra problem. Some groups are working productively, while others are not. When do you intervene? How should you intervene? What kinds of interventions are likely to improve students' problem solving?In the present study, I addressed these questions by building on past research on cooperative learning (CL). A group of students engaged in CL works together to achieve shared goals. Ideally, students help one another learn MING MING CHIU is an associate professor at the Chinese University of Hong Kong, Department of Educational Psychology, 314 Ho Tim Building, Shatin, NT, Hong Kong; e-mail mingming@cuhk.edu.hk. Using advanced statistical methods, he examines group processes during cooperative learning and compares student learning in large-scale international studies.

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“…Following the recommendations from a number of authors (e.g., Hoyle & Panter, 1995;Hu & Bentler, 1998), goodness of fit was assessed by the Comparative Fit Index (CFI) and the NonNormed Fit Index (NNFI). In addition, the root mean square error of approximation (RMSEA) was used because it has been recommended as a basis for power analysis and model evaluation (MacCallum & Hong, 1997 First, we tested the hypothesis that the STI structure could be represented by 6 correlated first-order factors (Model 1). The factor-loading matrix was full and fixed.…”

Section: Measurement Models Of the Self-talk Inventorymentioning

confidence: 99%

Self-Talk and Affective Problems in College Students: Valence of Thinking and Cognitive Content Specificity

et al. 2005

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The aim of this study was to develop a Self-Talk Inventory for young adults. This inventory consisted of two scales. The Negative Self-Talk Scale included three categories of selftalk (depressive, anxious, and angry thoughts) and the Positive Self-Talk Scale, three categories (minimization, positive orientation, and coping self-instructions). Participants were 982 undergraduate students (Mean age = 20.35 years, SD = 2.16). They completed the self-talk scales together with the following scales to measure symptoms of affective disorders: the Center for Epidemiological Studies Depression Scale (CES-D), the StateTrait Anxiety Inventory (STAI), and the State-Trait Anger Expression Inventory (STAXI-T). Factor analyses confirmed the hypothesized structure for the Self-Talk Inventory. The relations between self-talk and symptoms of affective disorders (depression, anxiety, and anger) were also evaluated. In general, states-of-mind -SOM-ratios and negative cognitions showed a greater association with psychological symptoms than did positive cognitions. Results concerning the cognitive characteristics of depression, anxiety, and anger were mixed and partially supported the cognitive content specificity theory.

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Power Analysis in Covariance Structure Modeling Using GFI and AGFI

Cited by 379 publications

References 4 publications

The Role of Customer Involvement in Mediating the Relationship Between Brand Equity and Customer Loyalty

The Role of Customer Involvement in Mediating the Relationship Between Brand Equity and Customer Loyalty

Adapting Teacher Interventions to Student Needs During Cooperative Learning: How to Improve Student Problem Solving and Time On-Task

Self-Talk and Affective Problems in College Students: Valence of Thinking and Cognitive Content Specificity

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