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: Journal Article
Language:English
Published: 2015
Subjects:
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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author Malhotra, Naresh K.
Dash, Satyabhusan
Mukhopadhyay, Soumya
Liu, Xiaoyan
author2 Nanyang Business School
author_facet Nanyang Business School
Malhotra, Naresh K.
Dash, Satyabhusan
Mukhopadhyay, Soumya
Liu, Xiaoyan
author_sort Malhotra, Naresh K.
collection NTU
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.
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spelling ntu-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.
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
title 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_short 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
topic DRNTU::Business::Marketing::Research
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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