One, few or many? An integrated framework for identifying the items in measurement scales
Churchill (1979) proposed a detailed procedure for the development of better multi-item measures that has become popular. Recently, however, many scholars have challenged this dominant paradigm. They argue that, in many marketing contexts where the target construct has a precise and concrete definit...
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sg-ntu-dr.10356-1073632023-05-19T06:44:42Z One, few or many? An integrated framework for identifying the items in measurement scales Malhotra, Naresh K. Dash, Satyabhusan Mukhopadhyay, Soumya Liu, Xiaoyan Nanyang Business School DRNTU::Business::Marketing::Research Churchill (1979) proposed a detailed procedure for the development of better multi-item measures that has become popular. Recently, however, many scholars have challenged this dominant paradigm. They argue that, in many marketing contexts where the target construct has a precise and concrete definition, long multi-item measures can be substituted by shorter measures with fewer items, or even single-item measures. This has resulted in the controversy around the relative superiority of single- versus multi-item scales. We review the extant literature to summarise various arguments in favour of (or against) multi-item and single-item measures, respectively. Moreover, we propose an integrated framework for developing a new scale, reducing long multi-item scales to shorter multi-item measures or to single-item measures, or to expand an existing short (single-item) scale. The significant contributions of this paper to the literature are identified. 2015-05-20T02:54:59Z 2019-12-06T22:29:20Z 2015-05-20T02:54:59Z 2019-12-06T22:29:20Z 2012 2012 Journal Article Malhotra, N. K., Mukhopadhyay, S., Liu, X., & Dash, S. (2012). One, few or many? An integrated framework for identifying the items in measurement scales. International journal of market research, 54(6), 835-862. 1470-7853 https://hdl.handle.net/10356/107363 http://hdl.handle.net/10220/25614 https://www.mrs.org.uk/ijmr_article/article/98377 en International journal of market research © 2012 Market Researh Society. |
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DRNTU::Business::Marketing::Research Malhotra, Naresh K. Dash, Satyabhusan Mukhopadhyay, Soumya Liu, Xiaoyan One, few or many? An integrated framework for identifying the items in measurement scales |
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Churchill (1979) proposed a detailed procedure for the development of better multi-item measures that has become popular. Recently, however, many scholars have challenged this dominant paradigm. They argue that, in many marketing contexts where the target construct has a precise and concrete definition, long multi-item measures can be substituted by shorter measures with fewer items, or even single-item measures. This has resulted in the controversy around the relative superiority of single- versus multi-item scales. We review the extant literature to summarise various arguments in favour of (or against) multi-item and single-item measures, respectively. Moreover, we propose an integrated framework for developing a new scale, reducing long multi-item scales to shorter multi-item measures or to single-item measures, or to expand an existing short (single-item) scale. The significant contributions of this paper to the literature are identified. |
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Nanyang Business School |
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Nanyang Business School Malhotra, Naresh K. Dash, Satyabhusan Mukhopadhyay, Soumya Liu, Xiaoyan |
format |
Article |
author |
Malhotra, Naresh K. Dash, Satyabhusan Mukhopadhyay, Soumya Liu, Xiaoyan |
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Malhotra, Naresh K. |
title |
One, few or many? An integrated framework for identifying the items in measurement scales |
title_short |
One, few or many? An integrated framework for identifying the items in measurement scales |
title_full |
One, few or many? An integrated framework for identifying the items in measurement scales |
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One, few or many? An integrated framework for identifying the items in measurement scales |
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One, few or many? An integrated framework for identifying the items in measurement scales |
title_sort |
one, few or many? an integrated framework for identifying the items in measurement scales |
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2015 |
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https://hdl.handle.net/10356/107363 http://hdl.handle.net/10220/25614 https://www.mrs.org.uk/ijmr_article/article/98377 |
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