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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Main Authors: Malhotra, Naresh K., Dash, Satyabhusan, Mukhopadhyay, Soumya, Liu, Xiaoyan
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2015
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Online Access: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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Institution: Nanyang Technological University
Language: English
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spelling 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.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Marketing::Research
spellingShingle 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
description 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.
author2 Nanyang Business School
author_facet Nanyang Business School
Malhotra, Naresh K.
Dash, Satyabhusan
Mukhopadhyay, Soumya
Liu, Xiaoyan
format Article
author Malhotra, Naresh K.
Dash, Satyabhusan
Mukhopadhyay, Soumya
Liu, Xiaoyan
author_sort 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
title_fullStr One, few or many? An integrated framework for identifying the items in measurement scales
title_full_unstemmed 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
publishDate 2015
url 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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