The Differential Effects of Exercised and Unexercised Power Sources in a Marketing Channel

Gaski, John F.; Nevin, John R.

doi:10.1177/002224378502200203

Cited by 375 publications

(218 citation statements)

References 25 publications

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“…The largest of the factor loadings for each sub-scale ( Table 2) was compared with its alpha coefficient to ascertain item discriminant validity: satisfaction with activities (z = 7.52, P < 0.001); satisfaction with finances (z = 4.91, P < 0.001); and satisfaction with people (z = 3.83, P < 0.001). All were significantly lower than each sub-scale's alpha coefficient, providing some evidence of item discriminant validity [49]. As was found previously [48], the activities sub-scale was modestly related to the finances (r = 0.16, P < 0.001) and people (r = 0.19, P < 0.001), indicative of the relative independence of these measures.…”

Section: Quality Of Life Domainssupporting

confidence: 70%

“…All seven domains were positively inter-related. However, the largest of these was significantly lower (z = 9.79, P < 0.001) than the scale's alpha coefficient, providing support for item discriminant validity [49]. As only seven out of the nine perceived quality of life domains were used in this study, the formula [15] for satisfaction with overall quality of life was: %PQOL = ((self + family + friends + time to do things + neighbours + social life + health À 7)/28) · 100.…”

Section: Quality Of Life Domainsmentioning

confidence: 83%

“…The criterion for corrected item-total correlation coefficients was set at r > 0.40 [41]. For item discriminant validity, Fisher's z test was used to compare the inter-correlation coefficients among items in the scale with coefficient alpha, with the criterion of z > 1.96 [49]. Alpha factoring was conducted on the quality of life scale to ascertain a common factor model [50].…”

Section: Discussionmentioning

confidence: 99%

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Which personal quality of life domains affect the happiness of older South Africans?

2007

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Coefficient alpha was 0.90 (7-item quality of life scale), 0.95 (activities scale) and 0.87 (finances and people scales). Although there some racial differences on the 10 quality of life domains and happiness, Black respondents, who acted as caregivers, had a poorer quality of life and were less happy (P < 0.05) than those without these responsibilities. Stepwise multiple regression revealed that satisfaction with social life was the most important predictor of happiness for Blacks and Indians; satisfaction with oneself for Whites, and time to do things for Coloureds. Overall findings suggested that three out of the ten domains adequately represented perceived quality of life, care-giving responsibilities negatively affect quality of life and happiness and race plays a role in predicting happiness.

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Section: Quality Of Life Domainssupporting

confidence: 70%

Section: Quality Of Life Domainsmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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Which personal quality of life domains affect the happiness of older South Africans?

2007

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“…The measurement model showed adequate fit: v 2 = 1087.775, df = 467, v 2 /df = 2.329, GFI = 0.915, AGFI = 0.898, RMSEA = 0.043, RMSR = 0.040, NFI = 0.932, CFI = 0.960 (see Table 1). The composite reliability and average variance extracted, based on the criteria of Gaski and Nevin (1985), met the criteria and indicated good convergent validity (Bagozzi and Yi 1988). Table 1 shows the data of good convergence.…”

Section: Measurement Modelmentioning

confidence: 80%

“…Table 1 shows the data of good convergence. Evidence of discriminant validity exists when the square root of the average of variance extracted in each construct exceeds the coefficient correlation of this particular construct with other constructs (Fornell and Larcker 1981;Gaski and Nevin 1985). As presented in Table 4, each of the coefficient correlation was significant between constructs and met the criteria of discriminant validity: this makes it suitable for the structural model.…”

Section: Measurement Modelmentioning

confidence: 95%

Investigating information sharing behavior: the mediating roles of the desire to share information in virtual communities

Liou

Chih

Hsu

et al. 2015

Inf Syst E-Bus Manage

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Social networking sites are built and designed to provide online services and a platform for people to social interacts and exchange information. This study used the social capital theory as a foundation to explore the social interaction factors and individual factors such as shared value, community identification, and information privacy concerns, and examine the mediating role of the desire to give information between trust on websites/members and information sharing behaviour in the proposed model. This research sample consists of seven hundred and twenty-seven members who have used the Facebook fan page for at least 6 months. This study adopted structural equation modeling to test the research hypotheses. The results of this study show that shared value, community identification, and information privacy concern directly influence trust on websites and members. Trust on websites and members directly influenced the desire to get/give information. Desire to give information directly influences information sharing behaviour. The desire to give information plays important mediating roles between trust on websites/members and information sharing behaviour. Finally, we provide conclusions and managerial implications of the findings.

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Does personality matter in exercise participation?

Yap

Lee

2013

J of Consumer Behaviour

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This research extends previous work by demonstrating how the relationships between social cognition and exercise are influenced by different personality types. The theory of planned behaviour forms the basis of our theoretical model, and the Big Five personality framework was used to determine personality types. Data were collected from a quota sample of 512 Malaysian adults. The results suggest that an individual's personality can prevent him or her from exercising. For example, an extrovert is likely to be driven by affect and self‐confidence in their capability to exercise, and thus are more likely to participate in exercise. Those who are more conscientious (and less neurotic) feel more in control and thus possess a greater ability to exercise in comparison with their less conscientious and more neurotic counterparts. Our findings demonstrate the importance of considering personality factors in exercise research and caution us about underestimating the relationship between perceived control, attitude and its potential behavioural outcomes that could lead to a misinterpretation of its true impact. Our core contribution lies in identifying the underlying causes of social cognition differences in a moderating capacity, which has potential to yield important theoretical and practical implications. This study sets the ground for social marketers to improve their understanding of exercise behaviour and, in turn, consumer welfare. Ultimately, they could be in a better position to develop effective health intervention and educational programmes. Copyright © 2013 John Wiley & Sons, Ltd.

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The Differential Effects of Exercised and Unexercised Power Sources in a Marketing Channel

Cited by 375 publications

References 25 publications

Which personal quality of life domains affect the happiness of older South Africans?

Which personal quality of life domains affect the happiness of older South Africans?

Investigating information sharing behavior: the mediating roles of the desire to share information in virtual communities

Does personality matter in exercise participation?

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