Using job satisfaction and pride as internal-marketing tools

Cornell Hotel and Restaurant Administration Quarterly

Volumn 43, Issue 2, 2002, Pages 87-96

  Arnett, Dennis B ^a   Laverie, Debra A ^b   McLane, Charlie ^c  

^a TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER   (United States)

^b Department of Marketing ^*  (United States)

^c CUE Inc

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0346903908     PISSN: 00108804     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-8804(02)80035-0     Document Type: Article

References (32)

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26. All internal-consistency measures are above the .70 level. Therefore, the scales demonstrate internal reliability. The average variance extracted for each reflectively measured construct is high (all values are above .53). This high average variance extracted coupled with the strength and significance of the parameter estimates for the reflective scales provide evidence of convergent validity. The results also show that the variance shared between each construct and its measures is higher than the variance shared between the construct and other constructs in the model, which provides evidence of discriminant validity—see Exhibits 3 and 4. See C. Fornell David F. Larcker Evaluating Structural Equation Models with Unobservable Variables and Measurement Error Journal of Marketing Research Vol. 18 February 1981 39 50 No. 1
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29. Fornell Larcker B.J. Walker Validity Assessment: A Structural Equation Approach Using Partial Least Squares AMA Educators' Proceedings Vol. 48 1982 American Marketing Association Chicago 39 50
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31. PLS analysis is a SEM technique that is an alternative to covariance structure analysis, which uses programs such as LISREL and EQS. The use of PLS analysis has certain advantages: ( 1 ) it does not suffer from indeterminacy problems like other causal modeling techniques (e.g., EQS and LISREL), ( 2 ) it is a nonparametric technique and, therefore, does not assume normality of the data, ( 3 ) it allows researchers to work with more complex models than other causal modeling techniques, and ( 4 ) it allows researchers to easily use both formative and reflective measures in the same analysis. The objective of PLS analysis is the explanation of variance through an iterative ordinary least squares (OLS) procedure and, therefore, fit indices such as the ones generated by covariance structure analysis are not generated. Because of its algorithmic nature it is predictive in a regression sense. For a more detailed discussion of the PLS method see W.W. Chin Marcoulides The Partial Least Squares Approach to Structural Equation Modeling Modern Methods for Business Research 1998 Lawrence Erlbaum Associates Mahwah, NJ
32. Cathy A. Enz Judy Siguaw Best Practices in Human Resources Cornell Hotel and Restaurant Administration Quarterly Vol. 41 February 2000 48 61 No. 1