Using Policy Capturing to Examine Tipping Decisions1

Using Policy Capturing to Examine Tipping Decisions1

Participants (n= 15) made tipping decisions for 80 restaurant situations. A policy‐capturing analysis was then conducted for each participant to quantitatively describe relations between his or her judgments and the information used to make those judgments. Participants possessed reliable, simple, a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of applied social psychology 1999-12, Vol.29 (12), p.2567-2590
Hauptverfasser: Rogelberg, Steven G., Ployhart, Robert E., Balzer, William K., Yonker, Robert D.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2590
container_issue 12
container_start_page 2567
container_title Journal of applied social psychology
container_volume 29
creator Rogelberg, Steven G.
Ployhart, Robert E.
Balzer, William K.
Yonker, Robert D.
description Participants (n= 15) made tipping decisions for 80 restaurant situations. A policy‐capturing analysis was then conducted for each participant to quantitatively describe relations between his or her judgments and the information used to make those judgments. Participants possessed reliable, simple, and nonconfigural models. The majority of these individual models heavily weighted bill‐size information. In addition, service‐quality, server‐friendliness, or food‐quality information affected tipping decisions, to a lesser extent, for a number of individuals. Atmosphere, server gender, and restaurant cleanliness information were not considered in any tipping model. Unlike affect, social desirability, and gender, participants' dining‐out frequency was related to the types of information used when tipping. Finally, cluster analysis of the models revealed 11 general approaches to tipping.
doi_str_mv 10.1111/j.1559-1816.1999.tb00126.x
format Article
fullrecord <record><control><sourceid>proquest_wiley</sourceid><recordid>TN_cdi_proquest_journals_1873342102</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4317866881</sourcerecordid><originalsourceid>FETCH-LOGICAL-p857-58d3ac87dbb7f7bc1f1105c9444c0ae305fae0904e0275620b166e809ecfd7ce3</originalsourceid><addsrcrecordid>eNo9kF9LwzAUxYMoOKffoehz671p0yRvjrn5h4ED53NI01RSurY2HXbf3pYN78vhnns4F36E3CNEOM5jGSFjMkSBaYRSyqjPAJCm0XBBZv-nSzIDoBhKoPKa3HhfjqtkIGYk-fKu_g62TeXMMVjqtj90k9E3wWrQe1fbYOfadrKerXHeNbXHW3JV6Mrbu7POyW692i1fw83Hy9tysQlbwXjIRB5rI3ieZbzgmcECEZiRSZIY0DYGVmgLEhILlLOUQoZpagVIa4qcGxvPycOptu2an4P1vSqbQ1ePHxUKHscJRaBj6umU-nWVPaq2c3vdHRWCmgipUk0Y1IRBTYTUmZAa1Pvic0tZyuM_6jJcRA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1873342102</pqid></control><display><type>article</type><title>Using Policy Capturing to Examine Tipping Decisions1</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Sociological Abstracts</source><creator>Rogelberg, Steven G. ; Ployhart, Robert E. ; Balzer, William K. ; Yonker, Robert D.</creator><creatorcontrib>Rogelberg, Steven G. ; Ployhart, Robert E. ; Balzer, William K. ; Yonker, Robert D.</creatorcontrib><description>Participants (n= 15) made tipping decisions for 80 restaurant situations. A policy‐capturing analysis was then conducted for each participant to quantitatively describe relations between his or her judgments and the information used to make those judgments. Participants possessed reliable, simple, and nonconfigural models. The majority of these individual models heavily weighted bill‐size information. In addition, service‐quality, server‐friendliness, or food‐quality information affected tipping decisions, to a lesser extent, for a number of individuals. Atmosphere, server gender, and restaurant cleanliness information were not considered in any tipping model. Unlike affect, social desirability, and gender, participants' dining‐out frequency was related to the types of information used when tipping. Finally, cluster analysis of the models revealed 11 general approaches to tipping.</description><identifier>ISSN: 0021-9029</identifier><identifier>EISSN: 1559-1816</identifier><identifier>DOI: 10.1111/j.1559-1816.1999.tb00126.x</identifier><identifier>CODEN: JASPBX</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><ispartof>Journal of applied social psychology, 1999-12, Vol.29 (12), p.2567-2590</ispartof><rights>Copyright Wiley Subscription Services, Inc. Dec 1999</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1559-1816.1999.tb00126.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1559-1816.1999.tb00126.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,33751,45550,45551</link.rule.ids></links><search><creatorcontrib>Rogelberg, Steven G.</creatorcontrib><creatorcontrib>Ployhart, Robert E.</creatorcontrib><creatorcontrib>Balzer, William K.</creatorcontrib><creatorcontrib>Yonker, Robert D.</creatorcontrib><title>Using Policy Capturing to Examine Tipping Decisions1</title><title>Journal of applied social psychology</title><description>Participants (n= 15) made tipping decisions for 80 restaurant situations. A policy‐capturing analysis was then conducted for each participant to quantitatively describe relations between his or her judgments and the information used to make those judgments. Participants possessed reliable, simple, and nonconfigural models. The majority of these individual models heavily weighted bill‐size information. In addition, service‐quality, server‐friendliness, or food‐quality information affected tipping decisions, to a lesser extent, for a number of individuals. Atmosphere, server gender, and restaurant cleanliness information were not considered in any tipping model. Unlike affect, social desirability, and gender, participants' dining‐out frequency was related to the types of information used when tipping. Finally, cluster analysis of the models revealed 11 general approaches to tipping.</description><issn>0021-9029</issn><issn>1559-1816</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNo9kF9LwzAUxYMoOKffoehz671p0yRvjrn5h4ED53NI01RSurY2HXbf3pYN78vhnns4F36E3CNEOM5jGSFjMkSBaYRSyqjPAJCm0XBBZv-nSzIDoBhKoPKa3HhfjqtkIGYk-fKu_g62TeXMMVjqtj90k9E3wWrQe1fbYOfadrKerXHeNbXHW3JV6Mrbu7POyW692i1fw83Hy9tysQlbwXjIRB5rI3ieZbzgmcECEZiRSZIY0DYGVmgLEhILlLOUQoZpagVIa4qcGxvPycOptu2an4P1vSqbQ1ePHxUKHscJRaBj6umU-nWVPaq2c3vdHRWCmgipUk0Y1IRBTYTUmZAa1Pvic0tZyuM_6jJcRA</recordid><startdate>199912</startdate><enddate>199912</enddate><creator>Rogelberg, Steven G.</creator><creator>Ployhart, Robert E.</creator><creator>Balzer, William K.</creator><creator>Yonker, Robert D.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>WZK</scope></search><sort><creationdate>199912</creationdate><title>Using Policy Capturing to Examine Tipping Decisions1</title><author>Rogelberg, Steven G. ; Ployhart, Robert E. ; Balzer, William K. ; Yonker, Robert D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p857-58d3ac87dbb7f7bc1f1105c9444c0ae305fae0904e0275620b166e809ecfd7ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rogelberg, Steven G.</creatorcontrib><creatorcontrib>Ployhart, Robert E.</creatorcontrib><creatorcontrib>Balzer, William K.</creatorcontrib><creatorcontrib>Yonker, Robert D.</creatorcontrib><collection>Sociological Abstracts (pre-2017)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Journal of applied social psychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rogelberg, Steven G.</au><au>Ployhart, Robert E.</au><au>Balzer, William K.</au><au>Yonker, Robert D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Policy Capturing to Examine Tipping Decisions1</atitle><jtitle>Journal of applied social psychology</jtitle><date>1999-12</date><risdate>1999</risdate><volume>29</volume><issue>12</issue><spage>2567</spage><epage>2590</epage><pages>2567-2590</pages><issn>0021-9029</issn><eissn>1559-1816</eissn><coden>JASPBX</coden><abstract>Participants (n= 15) made tipping decisions for 80 restaurant situations. A policy‐capturing analysis was then conducted for each participant to quantitatively describe relations between his or her judgments and the information used to make those judgments. Participants possessed reliable, simple, and nonconfigural models. The majority of these individual models heavily weighted bill‐size information. In addition, service‐quality, server‐friendliness, or food‐quality information affected tipping decisions, to a lesser extent, for a number of individuals. Atmosphere, server gender, and restaurant cleanliness information were not considered in any tipping model. Unlike affect, social desirability, and gender, participants' dining‐out frequency was related to the types of information used when tipping. Finally, cluster analysis of the models revealed 11 general approaches to tipping.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1559-1816.1999.tb00126.x</doi><tpages>24</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0021-9029
ispartof Journal of applied social psychology, 1999-12, Vol.29 (12), p.2567-2590
issn 0021-9029
1559-1816
language eng
recordid cdi_proquest_journals_1873342102
source Wiley Online Library Journals Frontfile Complete; Sociological Abstracts
title Using Policy Capturing to Examine Tipping Decisions1
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T04%3A06%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_wiley&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20Policy%20Capturing%20to%20Examine%20Tipping%20Decisions1&rft.jtitle=Journal%20of%20applied%20social%20psychology&rft.au=Rogelberg,%20Steven%20G.&rft.date=1999-12&rft.volume=29&rft.issue=12&rft.spage=2567&rft.epage=2590&rft.pages=2567-2590&rft.issn=0021-9029&rft.eissn=1559-1816&rft.coden=JASPBX&rft_id=info:doi/10.1111/j.1559-1816.1999.tb00126.x&rft_dat=%3Cproquest_wiley%3E4317866881%3C/proquest_wiley%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1873342102&rft_id=info:pmid/&rfr_iscdi=true