Generation of an Interval Metric Scale to Measure Attitude

This article discusses issues of scales in measuring attitude, demonstrates how a metric scale can be generated based on three main features, and presents results from a repeated measurement survey to verify the generated scale. The design of the generated metric scale is introduced and named Ruler...

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Main Authors: Rohana Yusoff, Roziah Mohd Janor
Format: Article
Language:English
Published: SAGE Publishing 2014-01-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/2158244013516768
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spelling doaj-4739851c049a456dbbcba02a12c5eab42020-11-25T02:48:37ZengSAGE PublishingSAGE Open2158-24402014-01-01410.1177/215824401351676810.1177_2158244013516768Generation of an Interval Metric Scale to Measure AttitudeRohana Yusoff0Roziah Mohd Janor1Universiti Teknologi MARA, Terengganu, MalaysiaUniversiti Teknologi MARA, Terengganu, MalaysiaThis article discusses issues of scales in measuring attitude, demonstrates how a metric scale can be generated based on three main features, and presents results from a repeated measurement survey to verify the generated scale. The design of the generated metric scale is introduced and named Ruler and Option (RO). The population for repeated measurement survey was 1,870 bachelor students from a public university. Two sets of questionnaire (identical items), one with 7-point Likert scale and another with RO scale, were distributed to a sample of 595 bachelor students chosen using stratified random sampling method. Data were analyzed descriptively using SPSS version 20 and structural equation modeling using AMOS version 21. Results showed that data from RO scale performed better than data from 7-point Likert scale in terms of number of items per construct, factor loadings, squared multiple correlations, higher ratio of degrees of freedom to number of parameters, and higher reliability coefficients. In terms of validity coefficients, measurement models from both data sets attained almost the same level of discriminant and construct validity. Further studies are recommended to elicit the strength and weakness of RO scale to identify the situations where it is most suitable.https://doi.org/10.1177/2158244013516768
collection DOAJ
language English
format Article
sources DOAJ
author Rohana Yusoff
Roziah Mohd Janor
spellingShingle Rohana Yusoff
Roziah Mohd Janor
Generation of an Interval Metric Scale to Measure Attitude
SAGE Open
author_facet Rohana Yusoff
Roziah Mohd Janor
author_sort Rohana Yusoff
title Generation of an Interval Metric Scale to Measure Attitude
title_short Generation of an Interval Metric Scale to Measure Attitude
title_full Generation of an Interval Metric Scale to Measure Attitude
title_fullStr Generation of an Interval Metric Scale to Measure Attitude
title_full_unstemmed Generation of an Interval Metric Scale to Measure Attitude
title_sort generation of an interval metric scale to measure attitude
publisher SAGE Publishing
series SAGE Open
issn 2158-2440
publishDate 2014-01-01
description This article discusses issues of scales in measuring attitude, demonstrates how a metric scale can be generated based on three main features, and presents results from a repeated measurement survey to verify the generated scale. The design of the generated metric scale is introduced and named Ruler and Option (RO). The population for repeated measurement survey was 1,870 bachelor students from a public university. Two sets of questionnaire (identical items), one with 7-point Likert scale and another with RO scale, were distributed to a sample of 595 bachelor students chosen using stratified random sampling method. Data were analyzed descriptively using SPSS version 20 and structural equation modeling using AMOS version 21. Results showed that data from RO scale performed better than data from 7-point Likert scale in terms of number of items per construct, factor loadings, squared multiple correlations, higher ratio of degrees of freedom to number of parameters, and higher reliability coefficients. In terms of validity coefficients, measurement models from both data sets attained almost the same level of discriminant and construct validity. Further studies are recommended to elicit the strength and weakness of RO scale to identify the situations where it is most suitable.
url https://doi.org/10.1177/2158244013516768
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AT roziahmohdjanor generationofanintervalmetricscaletomeasureattitude
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