A Comment on the Relationship between Coefficient Alpha and Scale Characteristics
To date, three major articles have analyzed the use of coefficient alpha on scales published in the marketing literature. These studies have improved our understanding of the scale development process and the behavior of coefficient alpha. One consistent result is that coefficient alpha produces an...
Gespeichert in:
Veröffentlicht in: | Marketing letters 2000-05, Vol.11 (2), p.177-191 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 191 |
---|---|
container_issue | 2 |
container_start_page | 177 |
container_title | Marketing letters |
container_volume | 11 |
creator | Voss, Kevin E. Stem, Donald E. Fotopoulos, Stergios |
description | To date, three major articles have analyzed the use of coefficient alpha on scales published in the marketing literature. These studies have improved our understanding of the scale development process and the behavior of coefficient alpha. One consistent result is that coefficient alpha produces an R- square of approximately.10 when regressed against scale length. In the most recent of these three meta-analyses, Peterson (1994) suggested that alpha does not behave as suggested by theory. We reexamine the behavior of alpha in relation to scale length, scale width, and response centrality. Our results suggest different conclusions from those previously reached. |
doi_str_mv | 10.1023/A:1008146924781 |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_38917722</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>40216569</jstor_id><sourcerecordid>40216569</sourcerecordid><originalsourceid>FETCH-LOGICAL-c194t-8bf72d32d43f44124050fb614c7e43875a433315b248af93d317f6533f0126793</originalsourceid><addsrcrecordid>eNpdzstLxDAYBPAgCq6rZ09C8OCtmseXpPFWii9YEF_graRtQrO0TW2yiP-9FT15mjn8GAahU0ouKWH8qrimhOQUpGagcrqHVlQonhGh3_fRimi2dAniEB3FuCULlYSu0FOByzAMdkw4jDh1Fj_b3iQfxtj5Cdc2fVo7LsY65xv_44p-6gw2Y4tfGtNbXHZmNk2ys4_JN_EYHTjTR3vyl2v0dnvzWt5nm8e7h7LYZA3VkLK8doq1nLXAHQBlQARxtaTQKAs8V8IA55yKmkFunOYtp8pJwbkjlEml-Rpd_O5Oc_jY2ZiqwcfG9r0ZbdjFiueaKsXYAs__wW3YzePyrWIEQBHQYkFnv2gbU5irafaDmb8qIIxKITX_BsMsZfg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>204470495</pqid></control><display><type>article</type><title>A Comment on the Relationship between Coefficient Alpha and Scale Characteristics</title><source>Business Source Complete</source><source>JSTOR</source><source>Springer Online Journals - JUSTICE</source><creator>Voss, Kevin E. ; Stem, Donald E. ; Fotopoulos, Stergios</creator><creatorcontrib>Voss, Kevin E. ; Stem, Donald E. ; Fotopoulos, Stergios</creatorcontrib><description>To date, three major articles have analyzed the use of coefficient alpha on scales published in the marketing literature. These studies have improved our understanding of the scale development process and the behavior of coefficient alpha. One consistent result is that coefficient alpha produces an R- square of approximately.10 when regressed against scale length. In the most recent of these three meta-analyses, Peterson (1994) suggested that alpha does not behave as suggested by theory. We reexamine the behavior of alpha in relation to scale length, scale width, and response centrality. Our results suggest different conclusions from those previously reached.</description><identifier>ISSN: 0923-0645</identifier><identifier>EISSN: 1573-059X</identifier><identifier>DOI: 10.1023/A:1008146924781</identifier><language>eng</language><publisher>New York: Kluwer Academic Publishers</publisher><subject>Central tendencies ; Coefficients ; Correlations ; Cronbach's alpha ; Distribution ; Economic analysis ; Estimate reliability ; Estimation ; Estimators ; Hypotheses ; Market scales ; Marketing ; Meta-analysis ; Psychometrics ; Regression analysis ; Research design ; Statistical methods ; Statistical variance ; Validity</subject><ispartof>Marketing letters, 2000-05, Vol.11 (2), p.177-191</ispartof><rights>Copyright (c) 2000 Kluwer Academic Publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c194t-8bf72d32d43f44124050fb614c7e43875a433315b248af93d317f6533f0126793</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40216569$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40216569$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Voss, Kevin E.</creatorcontrib><creatorcontrib>Stem, Donald E.</creatorcontrib><creatorcontrib>Fotopoulos, Stergios</creatorcontrib><title>A Comment on the Relationship between Coefficient Alpha and Scale Characteristics</title><title>Marketing letters</title><description>To date, three major articles have analyzed the use of coefficient alpha on scales published in the marketing literature. These studies have improved our understanding of the scale development process and the behavior of coefficient alpha. One consistent result is that coefficient alpha produces an R- square of approximately.10 when regressed against scale length. In the most recent of these three meta-analyses, Peterson (1994) suggested that alpha does not behave as suggested by theory. We reexamine the behavior of alpha in relation to scale length, scale width, and response centrality. Our results suggest different conclusions from those previously reached.</description><subject>Central tendencies</subject><subject>Coefficients</subject><subject>Correlations</subject><subject>Cronbach's alpha</subject><subject>Distribution</subject><subject>Economic analysis</subject><subject>Estimate reliability</subject><subject>Estimation</subject><subject>Estimators</subject><subject>Hypotheses</subject><subject>Market scales</subject><subject>Marketing</subject><subject>Meta-analysis</subject><subject>Psychometrics</subject><subject>Regression analysis</subject><subject>Research design</subject><subject>Statistical methods</subject><subject>Statistical variance</subject><subject>Validity</subject><issn>0923-0645</issn><issn>1573-059X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdzstLxDAYBPAgCq6rZ09C8OCtmseXpPFWii9YEF_graRtQrO0TW2yiP-9FT15mjn8GAahU0ouKWH8qrimhOQUpGagcrqHVlQonhGh3_fRimi2dAniEB3FuCULlYSu0FOByzAMdkw4jDh1Fj_b3iQfxtj5Cdc2fVo7LsY65xv_44p-6gw2Y4tfGtNbXHZmNk2ys4_JN_EYHTjTR3vyl2v0dnvzWt5nm8e7h7LYZA3VkLK8doq1nLXAHQBlQARxtaTQKAs8V8IA55yKmkFunOYtp8pJwbkjlEml-Rpd_O5Oc_jY2ZiqwcfG9r0ZbdjFiueaKsXYAs__wW3YzePyrWIEQBHQYkFnv2gbU5irafaDmb8qIIxKITX_BsMsZfg</recordid><startdate>20000501</startdate><enddate>20000501</enddate><creator>Voss, Kevin E.</creator><creator>Stem, Donald E.</creator><creator>Fotopoulos, Stergios</creator><general>Kluwer Academic Publishers</general><general>Springer Nature B.V</general><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20000501</creationdate><title>A Comment on the Relationship between Coefficient Alpha and Scale Characteristics</title><author>Voss, Kevin E. ; Stem, Donald E. ; Fotopoulos, Stergios</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c194t-8bf72d32d43f44124050fb614c7e43875a433315b248af93d317f6533f0126793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Central tendencies</topic><topic>Coefficients</topic><topic>Correlations</topic><topic>Cronbach's alpha</topic><topic>Distribution</topic><topic>Economic analysis</topic><topic>Estimate reliability</topic><topic>Estimation</topic><topic>Estimators</topic><topic>Hypotheses</topic><topic>Market scales</topic><topic>Marketing</topic><topic>Meta-analysis</topic><topic>Psychometrics</topic><topic>Regression analysis</topic><topic>Research design</topic><topic>Statistical methods</topic><topic>Statistical variance</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Voss, Kevin E.</creatorcontrib><creatorcontrib>Stem, Donald E.</creatorcontrib><creatorcontrib>Fotopoulos, Stergios</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM global</collection><collection>One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Marketing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Voss, Kevin E.</au><au>Stem, Donald E.</au><au>Fotopoulos, Stergios</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Comment on the Relationship between Coefficient Alpha and Scale Characteristics</atitle><jtitle>Marketing letters</jtitle><date>2000-05-01</date><risdate>2000</risdate><volume>11</volume><issue>2</issue><spage>177</spage><epage>191</epage><pages>177-191</pages><issn>0923-0645</issn><eissn>1573-059X</eissn><abstract>To date, three major articles have analyzed the use of coefficient alpha on scales published in the marketing literature. These studies have improved our understanding of the scale development process and the behavior of coefficient alpha. One consistent result is that coefficient alpha produces an R- square of approximately.10 when regressed against scale length. In the most recent of these three meta-analyses, Peterson (1994) suggested that alpha does not behave as suggested by theory. We reexamine the behavior of alpha in relation to scale length, scale width, and response centrality. Our results suggest different conclusions from those previously reached.</abstract><cop>New York</cop><pub>Kluwer Academic Publishers</pub><doi>10.1023/A:1008146924781</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0923-0645 |
ispartof | Marketing letters, 2000-05, Vol.11 (2), p.177-191 |
issn | 0923-0645 1573-059X |
language | eng |
recordid | cdi_proquest_miscellaneous_38917722 |
source | Business Source Complete; JSTOR; Springer Online Journals - JUSTICE |
subjects | Central tendencies Coefficients Correlations Cronbach's alpha Distribution Economic analysis Estimate reliability Estimation Estimators Hypotheses Market scales Marketing Meta-analysis Psychometrics Regression analysis Research design Statistical methods Statistical variance Validity |
title | A Comment on the Relationship between Coefficient Alpha and Scale Characteristics |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T15%3A47%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Comment%20on%20the%20Relationship%20between%20Coefficient%20Alpha%20and%20Scale%20Characteristics&rft.jtitle=Marketing%20letters&rft.au=Voss,%20Kevin%20E.&rft.date=2000-05-01&rft.volume=11&rft.issue=2&rft.spage=177&rft.epage=191&rft.pages=177-191&rft.issn=0923-0645&rft.eissn=1573-059X&rft_id=info:doi/10.1023/A:1008146924781&rft_dat=%3Cjstor_proqu%3E40216569%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=204470495&rft_id=info:pmid/&rft_jstor_id=40216569&rfr_iscdi=true |