The attainment of quality in products and services has become a pivotal concern of the 1980s. While quality in tangible goods has been described and measured by marketers, quality in services is la...

A Conceptual Model of Service Quality and Its Implications for Future Research

Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.

/pdf/a-new-criterion-for-assessing-discriminant-validity-in-4xs4c94ene.pdf

A new criterion for assessing discriminant validity in variance-based structural equation modeling

If service quality relates to retention of customers at the aggregate level, as other research has indicated, then evidence of its impact on customers’ behavioral responses should be detectable. Th...

The behavioral consequences of service quality

Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments

Although the methodological literature is replete with advice regarding the development and validation of multi-item scales based on reflective measures, the issue of index construction using formative measures has received little attention. The authors seek to address this gap by (1) examining the nature of formative indicators, (2) discussing ways in which the quality of formative measures can be assessed, and (3) illustrating the proposed procedures with empirical data. The aim is to enhance researchers’ understanding of formative measures and assist them in their index construction efforts.

https://statmath.wu.ac.at/courses/r-se-mbr/dl/M1b_Diamantopoulos_2001.pdf

Index Construction with Formative Indicators: An Alternative to Scale Development

Table of Contents: Section 1: A Perspective on Consumer Behavior Chapter 1 Introduction to Consumer Behavior and Marketing Strategy Chapter 2 A Framework for Consumer Analysis Section 2: Affect and Cognition and Marketing Strategy Chapter 3 Introduction to Affect and Cognition Chapter 4 Consumers' Product Knowledge and Involvement Chapter 5 Attention and Comprehension Chapter 6 Attitudes and Intentions Chapter 7 Consumer Decision Making Section 3 Behavior and Marketing Strategy Chapter 8 Introduction to Behavior Chapter 9 Conditioning and Learning Processes Chapter 10 Influencing Consumer Behaviors Section 4 The Environment and Marketing Strategy Chapter 11 Introduction to the Environment Chapter 12 Cultural and Cross-Cultural Influences Chapter 13 Subculture and Social Class Chapter 14 Reference Groups and Family Section 5 Consumer Behavior and Marketing Strategy Chapter 15 Market Segmentation and Product Positioning Chapter 16 Consumer Behavior and Product Strategy Chapter 17 Consumer Behavior and Promotion Strategy Chapter 18 Consumer Behavior and Pricing Strategy Chapter 19 Consumer Behavior, Electronic Commerce, and Channel Strategy

Consumer Behavior and Marketing Strategy

Improving the measurement of service quality

This meta-analysis investigates the effects of research design on the reliability of rating scale measures used in marketing research. Three sets of independent variables—sampling characteristics, ...

Research Design Effects on the Reliability of Rating Scales: A Meta-Analysis:

This study compared three alternative decision-making strategies in the consumer behavior literature: (1) minimization of expected negative utility (perceived risk); (2) maximization of expected positive utility (perceived return); and (3) maximization of expected net utility (net perceived return). The results of this study indicated that the net perceived return model could explain more variance in brand preference than the other two models.

https://www.jstor.org/stable/pdf/2489044.pdf

A Comparative Analysis of Three Consumer Decision Strategies

This article illustrates the common use of difference scores in consumer research and discusses a number of potential problems with using them. Difference scores often have problems in the areas of reliability, discriminant validity, spurious correlations, and variance restriction. The article concludes that difference scores should generally not be used in consumer research and offers alternatives that overcome their limitations.

J. Paul Peter

Papers

Consumer Behavior and Marketing Strategy

Improving the measurement of service quality

Research Design Effects on the Reliability of Rating Scales: A Meta-Analysis:

A Comparative Analysis of Three Consumer Decision Strategies

Caution in the Use of Difference Scores in Consumer Research