HYPOTHESES OF EQUIVALENCE AND THEIR TESTING
Hypothesis of no difference are null hypotheses for studies to show that populations differ. To show that populations are essentially the same, the appropriate null is that substantial differences do exist. We propose that there is a pent-up conceptual need for equivalence hypothesizing in all of ma...
Gespeichert in:
Veröffentlicht in: | Journal of marketing theory and practice 2018-07, Vol.26 (3), p.280-288 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 288 |
---|---|
container_issue | 3 |
container_start_page | 280 |
container_title | Journal of marketing theory and practice |
container_volume | 26 |
creator | Garber, Lawrence L. Boya, Ünal Ö. Hyatt, Eva M. |
description | Hypothesis of no difference are null hypotheses for studies to show that populations differ. To show that populations are essentially the same, the appropriate null is that substantial differences do exist. We propose that there is a pent-up conceptual need for equivalence hypothesizing in all of marketing—e.g, for the testing of core marketing concepts including the marketing concept, optimization of the marketing mix, product differentiation, market segmentation, the building of brand loyalty, product positioning, test marketing, as well as marketing pedagogy. We present two statistical tests appropriate for Equivalence Hypothesis Testing (EHT). Usefulness of the method to marketing is discussed. |
doi_str_mv | 10.1080/10696679.2018.1450634 |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_2187899261</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>48542706</jstor_id><sourcerecordid>48542706</sourcerecordid><originalsourceid>FETCH-LOGICAL-c283t-947ca455e3e1d84bfdffb77c11c8b0dc86487e003ca8b939c4750fb70920b6453</originalsourceid><addsrcrecordid>eNo9kE1Lw0AQhhdRsFZ_QiHgUVJnkv2YPZa6bQOlVZsKnpZkm4BFje62B_-9W1o9zcA878zwMDZAGCIQ3CNILaXSwwyQhsgFyJyfsR5qzlOFSpzHPjLpAbpkVyFsASAngh67m70-LsuZWZlVspwk5mldvIzmZjE2yWjxkMRJ8ZyUZlUWi-k1u2ir99DcnGqfrSemHM_S-XJajEfz1GWU71LNlau4EE3e4IZ43W7atlbKITqqYeNIclJNfMBVVOtcO64ERAJ0BrXkIu-z2-PeL99975uws9tu7z_jSZshKdI6kxgpcaSc70LwTWu__NtH5X8sgj14sX9e7MGLPXmJucExtw27zv-HOAmeqUj8ApuJWTQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2187899261</pqid></control><display><type>article</type><title>HYPOTHESES OF EQUIVALENCE AND THEIR TESTING</title><source>Jstor Complete Legacy</source><source>EBSCOhost Business Source Complete</source><creator>Garber, Lawrence L. ; Boya, Ünal Ö. ; Hyatt, Eva M.</creator><creatorcontrib>Garber, Lawrence L. ; Boya, Ünal Ö. ; Hyatt, Eva M.</creatorcontrib><description>Hypothesis of no difference are null hypotheses for studies to show that populations differ. To show that populations are essentially the same, the appropriate null is that substantial differences do exist. We propose that there is a pent-up conceptual need for equivalence hypothesizing in all of marketing—e.g, for the testing of core marketing concepts including the marketing concept, optimization of the marketing mix, product differentiation, market segmentation, the building of brand loyalty, product positioning, test marketing, as well as marketing pedagogy. We present two statistical tests appropriate for Equivalence Hypothesis Testing (EHT). Usefulness of the method to marketing is discussed.</description><identifier>ISSN: 1069-6679</identifier><identifier>EISSN: 1944-7175</identifier><identifier>DOI: 10.1080/10696679.2018.1450634</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis, Ltd</publisher><subject>Bias ; Bioavailability ; Brand loyalty ; Business education ; Confidence intervals ; Economic models ; Food ; Generic drugs ; Generic products ; Hypotheses ; Hypothesis testing ; Market segmentation ; Marketing ; Methods ; Pedagogy ; Product differentiation ; Psychology ; Research methodology ; Researchers ; Sales territories ; Software ; Websites</subject><ispartof>Journal of marketing theory and practice, 2018-07, Vol.26 (3), p.280-288</ispartof><rights>Copyright © Taylor and Francis Group, LLC</rights><rights>Copyright Taylor & Francis Ltd. Summer 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c283t-947ca455e3e1d84bfdffb77c11c8b0dc86487e003ca8b939c4750fb70920b6453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48542706$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48542706$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Garber, Lawrence L.</creatorcontrib><creatorcontrib>Boya, Ünal Ö.</creatorcontrib><creatorcontrib>Hyatt, Eva M.</creatorcontrib><title>HYPOTHESES OF EQUIVALENCE AND THEIR TESTING</title><title>Journal of marketing theory and practice</title><description>Hypothesis of no difference are null hypotheses for studies to show that populations differ. To show that populations are essentially the same, the appropriate null is that substantial differences do exist. We propose that there is a pent-up conceptual need for equivalence hypothesizing in all of marketing—e.g, for the testing of core marketing concepts including the marketing concept, optimization of the marketing mix, product differentiation, market segmentation, the building of brand loyalty, product positioning, test marketing, as well as marketing pedagogy. We present two statistical tests appropriate for Equivalence Hypothesis Testing (EHT). Usefulness of the method to marketing is discussed.</description><subject>Bias</subject><subject>Bioavailability</subject><subject>Brand loyalty</subject><subject>Business education</subject><subject>Confidence intervals</subject><subject>Economic models</subject><subject>Food</subject><subject>Generic drugs</subject><subject>Generic products</subject><subject>Hypotheses</subject><subject>Hypothesis testing</subject><subject>Market segmentation</subject><subject>Marketing</subject><subject>Methods</subject><subject>Pedagogy</subject><subject>Product differentiation</subject><subject>Psychology</subject><subject>Research methodology</subject><subject>Researchers</subject><subject>Sales territories</subject><subject>Software</subject><subject>Websites</subject><issn>1069-6679</issn><issn>1944-7175</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_QiHgUVJnkv2YPZa6bQOlVZsKnpZkm4BFje62B_-9W1o9zcA878zwMDZAGCIQ3CNILaXSwwyQhsgFyJyfsR5qzlOFSpzHPjLpAbpkVyFsASAngh67m70-LsuZWZlVspwk5mldvIzmZjE2yWjxkMRJ8ZyUZlUWi-k1u2ir99DcnGqfrSemHM_S-XJajEfz1GWU71LNlau4EE3e4IZ43W7atlbKITqqYeNIclJNfMBVVOtcO64ERAJ0BrXkIu-z2-PeL99975uws9tu7z_jSZshKdI6kxgpcaSc70LwTWu__NtH5X8sgj14sX9e7MGLPXmJucExtw27zv-HOAmeqUj8ApuJWTQ</recordid><startdate>20180703</startdate><enddate>20180703</enddate><creator>Garber, Lawrence L.</creator><creator>Boya, Ünal Ö.</creator><creator>Hyatt, Eva M.</creator><general>Taylor & Francis, Ltd</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</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>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20180703</creationdate><title>HYPOTHESES OF EQUIVALENCE AND THEIR TESTING</title><author>Garber, Lawrence L. ; Boya, Ünal Ö. ; Hyatt, Eva M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c283t-947ca455e3e1d84bfdffb77c11c8b0dc86487e003ca8b939c4750fb70920b6453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bias</topic><topic>Bioavailability</topic><topic>Brand loyalty</topic><topic>Business education</topic><topic>Confidence intervals</topic><topic>Economic models</topic><topic>Food</topic><topic>Generic drugs</topic><topic>Generic products</topic><topic>Hypotheses</topic><topic>Hypothesis testing</topic><topic>Market segmentation</topic><topic>Marketing</topic><topic>Methods</topic><topic>Pedagogy</topic><topic>Product differentiation</topic><topic>Psychology</topic><topic>Research methodology</topic><topic>Researchers</topic><topic>Sales territories</topic><topic>Software</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Garber, Lawrence L.</creatorcontrib><creatorcontrib>Boya, Ünal Ö.</creatorcontrib><creatorcontrib>Hyatt, Eva M.</creatorcontrib><collection>CrossRef</collection><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 Global (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Global</collection><collection>ProQuest 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>ProQuest Central China</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of marketing theory and practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Garber, Lawrence L.</au><au>Boya, Ünal Ö.</au><au>Hyatt, Eva M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HYPOTHESES OF EQUIVALENCE AND THEIR TESTING</atitle><jtitle>Journal of marketing theory and practice</jtitle><date>2018-07-03</date><risdate>2018</risdate><volume>26</volume><issue>3</issue><spage>280</spage><epage>288</epage><pages>280-288</pages><issn>1069-6679</issn><eissn>1944-7175</eissn><abstract>Hypothesis of no difference are null hypotheses for studies to show that populations differ. To show that populations are essentially the same, the appropriate null is that substantial differences do exist. We propose that there is a pent-up conceptual need for equivalence hypothesizing in all of marketing—e.g, for the testing of core marketing concepts including the marketing concept, optimization of the marketing mix, product differentiation, market segmentation, the building of brand loyalty, product positioning, test marketing, as well as marketing pedagogy. We present two statistical tests appropriate for Equivalence Hypothesis Testing (EHT). Usefulness of the method to marketing is discussed.</abstract><cop>Abingdon</cop><pub>Taylor & Francis, Ltd</pub><doi>10.1080/10696679.2018.1450634</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1069-6679 |
ispartof | Journal of marketing theory and practice, 2018-07, Vol.26 (3), p.280-288 |
issn | 1069-6679 1944-7175 |
language | eng |
recordid | cdi_proquest_journals_2187899261 |
source | Jstor Complete Legacy; EBSCOhost Business Source Complete |
subjects | Bias Bioavailability Brand loyalty Business education Confidence intervals Economic models Food Generic drugs Generic products Hypotheses Hypothesis testing Market segmentation Marketing Methods Pedagogy Product differentiation Psychology Research methodology Researchers Sales territories Software Websites |
title | HYPOTHESES OF EQUIVALENCE AND THEIR TESTING |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T02%3A31%3A06IST&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=HYPOTHESES%20OF%20EQUIVALENCE%20AND%20THEIR%20TESTING&rft.jtitle=Journal%20of%20marketing%20theory%20and%20practice&rft.au=Garber,%20Lawrence%20L.&rft.date=2018-07-03&rft.volume=26&rft.issue=3&rft.spage=280&rft.epage=288&rft.pages=280-288&rft.issn=1069-6679&rft.eissn=1944-7175&rft_id=info:doi/10.1080/10696679.2018.1450634&rft_dat=%3Cjstor_proqu%3E48542706%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=2187899261&rft_id=info:pmid/&rft_jstor_id=48542706&rfr_iscdi=true |