2001
DOI: 10.1177/147078530104300404
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Four Subtle Sins in Scale Development: Some Suggestions for Strengthening the Current Paradigm

Abstract: Despite continuing advances in statistical methods, problems in scalar measures persist. This paper reports the findings on a review of marketing scale batteries developed since the publication of Churchill's (1979) paper outlining a method for reliable and valid scale development. The authors found four problem areas. These are discussed and solutions suggested.

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Cited by 91 publications
(60 citation statements)
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“…With the aim of developing a reliable and valid scale of SPP in construction engineering projects, we followed the steps described by Churchil [42], with procedural refinement as recommended by Flynn and Pearcy [43] and Stratman and Roth [44]. The scale development process is shown in Table 1.…”
Section: Scale Developmentmentioning
confidence: 99%
“…With the aim of developing a reliable and valid scale of SPP in construction engineering projects, we followed the steps described by Churchil [42], with procedural refinement as recommended by Flynn and Pearcy [43] and Stratman and Roth [44]. The scale development process is shown in Table 1.…”
Section: Scale Developmentmentioning
confidence: 99%
“…Nevertheless, our study had some limitations. First, Flynn (Flynn et al, 2001) suggested that a ratio of five responses per parameters was required to obtain reliable estimates based on 120 participants. Our study had slightly lower sample size, though the scale seemed to be a reliable measure of smoking motivation according to the item-single reliability, composite reliability and validity.…”
Section: Discussionmentioning
confidence: 99%
“…Others suggest a rule of thumb of ten subjects per item in scale development is prudent (Flynn & Pearcy, 2001). However, if the data are found to violate multivariate normality assumptions, the number of respondents per estimated parameter increases to 15 (Bentler & Chou, 1987;Hair, Black, Babin, Anderson & Tatham, 2006).…”
Section: Measurement Modelsmentioning
confidence: 99%
“…Applying Bentler and Chou's 10:1 rule of thumb, a sample size of 100 to 120 was required. Applying Flynn and Pearcy's (2001) rule of thumb, a sample size of 50 to 60 would suffice. Thus in terms of sample size, the study, met these requirements.…”
Section: Measurement Modelsmentioning
confidence: 99%