Predictors of RNs’ intent to work and work decisions 1 year later in a U.S. national sample
Many studies have examined predictors of nurses’ intention to work in their job, including desire to quit. Intent has been a good predictor of actual turnover. Few longitudinal studies exist that consider regional variables. To extend the conceptual framework of turnover research to the whole nursin...
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Veröffentlicht in: | International journal of nursing studies 2009-07, Vol.46 (7), p.940-956 |
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description | Many studies have examined predictors of nurses’ intention to work in their job, including desire to quit. Intent has been a good predictor of actual turnover. Few longitudinal studies exist that consider regional variables.
To extend the conceptual framework of turnover research to the whole nursing workforce and determine: (1) how do demographics, region (metropolitan statistical area: MSA), movement opportunities, and work setting variables affect registered nurses’ (RNs) intent to work and desire to quit; and (2) how do demographics, MSA variables, movement opportunities, and work setting variables affect RNs’ work behavior at time 2?
Panel study using Dillman's design method.
Randomly selected national cluster sample from 40 urban geographic regions (MSAs) in 29 states of the United States.
Four thousand surveys were sent. There were 1907 female RNs under 65 (48% response rate) from year 1 of which 1348 responded at year 2 (70% response rate).
The first analyses used desire to quit (explained 65% of the variance) and intent to work from year 1 as dependent variables. Satisfaction and organizational commitment were significant negative predictors of desire to quit. In the logistic regression on intent to work, the work motivation and work–family conflict were positive and significant as well as wages (negative) and three benefit variables. In year 2, the dependent variable was working or not and if working, full-time or not. For this bivariate probit regression no attitudes influenced the work/not work decision, but MSA level variables, wages (positive) and benefits (positive) did. Organizational commitment and higher workload increased the probability of working FT.
Regional differences across markets need to be controlled and their influence investigated. In addition, attitudes as well as wages and benefits were important in certain decisions: these factors are clearly under the influence of employers. |
doi_str_mv | 10.1016/j.ijnurstu.2008.02.003 |
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To extend the conceptual framework of turnover research to the whole nursing workforce and determine: (1) how do demographics, region (metropolitan statistical area: MSA), movement opportunities, and work setting variables affect registered nurses’ (RNs) intent to work and desire to quit; and (2) how do demographics, MSA variables, movement opportunities, and work setting variables affect RNs’ work behavior at time 2?
Panel study using Dillman's design method.
Randomly selected national cluster sample from 40 urban geographic regions (MSAs) in 29 states of the United States.
Four thousand surveys were sent. There were 1907 female RNs under 65 (48% response rate) from year 1 of which 1348 responded at year 2 (70% response rate).
The first analyses used desire to quit (explained 65% of the variance) and intent to work from year 1 as dependent variables. Satisfaction and organizational commitment were significant negative predictors of desire to quit. In the logistic regression on intent to work, the work motivation and work–family conflict were positive and significant as well as wages (negative) and three benefit variables. In year 2, the dependent variable was working or not and if working, full-time or not. For this bivariate probit regression no attitudes influenced the work/not work decision, but MSA level variables, wages (positive) and benefits (positive) did. Organizational commitment and higher workload increased the probability of working FT.
Regional differences across markets need to be controlled and their influence investigated. In addition, attitudes as well as wages and benefits were important in certain decisions: these factors are clearly under the influence of employers.</description><identifier>ISSN: 0020-7489</identifier><identifier>EISSN: 1873-491X</identifier><identifier>DOI: 10.1016/j.ijnurstu.2008.02.003</identifier><identifier>PMID: 18377910</identifier><identifier>CODEN: IJNUA6</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Cluster Analysis ; Employee turnover ; Female ; Humans ; Intent to work ; Job leaving ; Job satisfaction ; Metropolitan areas ; Nurses ; Nurses - psychology ; Nursing ; Nursing workforce ; Organizational commitment ; Panel survey ; Regression analysis ; RN satisfaction ; Studies ; Turnover ; United States ; Work environment ; Workloads</subject><ispartof>International journal of nursing studies, 2009-07, Vol.46 (7), p.940-956</ispartof><rights>2008 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jul 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c522t-9a73a442d453d367a1cefc9bd79deb00354ed73d996bdaa88113c3414e686e63</citedby><cites>FETCH-LOGICAL-c522t-9a73a442d453d367a1cefc9bd79deb00354ed73d996bdaa88113c3414e686e63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0020748908000345$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,30976,30977,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18377910$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brewer, Carol S.</creatorcontrib><creatorcontrib>Kovner, Christine T.</creatorcontrib><creatorcontrib>Greene, William</creatorcontrib><creatorcontrib>Cheng, Ying</creatorcontrib><title>Predictors of RNs’ intent to work and work decisions 1 year later in a U.S. national sample</title><title>International journal of nursing studies</title><addtitle>Int J Nurs Stud</addtitle><description>Many studies have examined predictors of nurses’ intention to work in their job, including desire to quit. Intent has been a good predictor of actual turnover. Few longitudinal studies exist that consider regional variables.
To extend the conceptual framework of turnover research to the whole nursing workforce and determine: (1) how do demographics, region (metropolitan statistical area: MSA), movement opportunities, and work setting variables affect registered nurses’ (RNs) intent to work and desire to quit; and (2) how do demographics, MSA variables, movement opportunities, and work setting variables affect RNs’ work behavior at time 2?
Panel study using Dillman's design method.
Randomly selected national cluster sample from 40 urban geographic regions (MSAs) in 29 states of the United States.
Four thousand surveys were sent. There were 1907 female RNs under 65 (48% response rate) from year 1 of which 1348 responded at year 2 (70% response rate).
The first analyses used desire to quit (explained 65% of the variance) and intent to work from year 1 as dependent variables. Satisfaction and organizational commitment were significant negative predictors of desire to quit. In the logistic regression on intent to work, the work motivation and work–family conflict were positive and significant as well as wages (negative) and three benefit variables. In year 2, the dependent variable was working or not and if working, full-time or not. For this bivariate probit regression no attitudes influenced the work/not work decision, but MSA level variables, wages (positive) and benefits (positive) did. Organizational commitment and higher workload increased the probability of working FT.
Regional differences across markets need to be controlled and their influence investigated. In addition, attitudes as well as wages and benefits were important in certain decisions: these factors are clearly under the influence of employers.</description><subject>Cluster Analysis</subject><subject>Employee turnover</subject><subject>Female</subject><subject>Humans</subject><subject>Intent to work</subject><subject>Job leaving</subject><subject>Job satisfaction</subject><subject>Metropolitan areas</subject><subject>Nurses</subject><subject>Nurses - psychology</subject><subject>Nursing</subject><subject>Nursing workforce</subject><subject>Organizational commitment</subject><subject>Panel survey</subject><subject>Regression analysis</subject><subject>RN satisfaction</subject><subject>Studies</subject><subject>Turnover</subject><subject>United States</subject><subject>Work environment</subject><subject>Workloads</subject><issn>0020-7489</issn><issn>1873-491X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkc-KFDEQxoMo7rj6CkvwoKduK510_tyURVdhUdEVvEjIJDXQbU9nTNLK3vY1fD2fxAwzInhwTynIr76q-j5Czhi0DJh8NrbDOC8pl6XtAHQLXQvA75AV04o3wrDPd8kKoINGCW1OyIOcRwBgGvR9csI0V8owWJEv7xOGwZeYMo0b-uFt_nXzkw5zwbnQEumPmL5SN4dDEdAPeYhzpoxeo0t0cgVTxamjn9qPLZ1dqd9uotltdxM-JPc2bsr46PiekqtXL6_OXzeX7y7enL-4bHzfdaUxTnEnRBdEzwOXyjGPG2_WQZmA63pXLzAoHoyR6-Cc1oxxzwUTKLVEyU_J04PsLsVvC-Zit0P2OE1uxrhkq6TgWhoQlXzyX1Iqboyp8reBveLQVzsr-PgfcIxLqhZk2wHrpexgv6A8QD7FnBNu7C4NW5euLQO7z9OO9k-edp-nhc7Wu2vj2VF9WW8x_G07BliB5wcAq73fB0w2-wFnX0NN6IsNcbhtxm85DLQ4</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Brewer, Carol S.</creator><creator>Kovner, Christine T.</creator><creator>Greene, William</creator><creator>Cheng, Ying</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>200907</creationdate><title>Predictors of RNs’ intent to work and work decisions 1 year later in a U.S. national sample</title><author>Brewer, Carol S. ; Kovner, Christine T. ; Greene, William ; Cheng, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c522t-9a73a442d453d367a1cefc9bd79deb00354ed73d996bdaa88113c3414e686e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Cluster Analysis</topic><topic>Employee turnover</topic><topic>Female</topic><topic>Humans</topic><topic>Intent to work</topic><topic>Job leaving</topic><topic>Job satisfaction</topic><topic>Metropolitan areas</topic><topic>Nurses</topic><topic>Nurses - psychology</topic><topic>Nursing</topic><topic>Nursing workforce</topic><topic>Organizational commitment</topic><topic>Panel survey</topic><topic>Regression analysis</topic><topic>RN satisfaction</topic><topic>Studies</topic><topic>Turnover</topic><topic>United States</topic><topic>Work environment</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brewer, Carol S.</creatorcontrib><creatorcontrib>Kovner, Christine T.</creatorcontrib><creatorcontrib>Greene, William</creatorcontrib><creatorcontrib>Cheng, Ying</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of nursing studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brewer, Carol S.</au><au>Kovner, Christine T.</au><au>Greene, William</au><au>Cheng, Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of RNs’ intent to work and work decisions 1 year later in a U.S. national sample</atitle><jtitle>International journal of nursing studies</jtitle><addtitle>Int J Nurs Stud</addtitle><date>2009-07</date><risdate>2009</risdate><volume>46</volume><issue>7</issue><spage>940</spage><epage>956</epage><pages>940-956</pages><issn>0020-7489</issn><eissn>1873-491X</eissn><coden>IJNUA6</coden><abstract>Many studies have examined predictors of nurses’ intention to work in their job, including desire to quit. Intent has been a good predictor of actual turnover. Few longitudinal studies exist that consider regional variables.
To extend the conceptual framework of turnover research to the whole nursing workforce and determine: (1) how do demographics, region (metropolitan statistical area: MSA), movement opportunities, and work setting variables affect registered nurses’ (RNs) intent to work and desire to quit; and (2) how do demographics, MSA variables, movement opportunities, and work setting variables affect RNs’ work behavior at time 2?
Panel study using Dillman's design method.
Randomly selected national cluster sample from 40 urban geographic regions (MSAs) in 29 states of the United States.
Four thousand surveys were sent. There were 1907 female RNs under 65 (48% response rate) from year 1 of which 1348 responded at year 2 (70% response rate).
The first analyses used desire to quit (explained 65% of the variance) and intent to work from year 1 as dependent variables. Satisfaction and organizational commitment were significant negative predictors of desire to quit. In the logistic regression on intent to work, the work motivation and work–family conflict were positive and significant as well as wages (negative) and three benefit variables. In year 2, the dependent variable was working or not and if working, full-time or not. For this bivariate probit regression no attitudes influenced the work/not work decision, but MSA level variables, wages (positive) and benefits (positive) did. Organizational commitment and higher workload increased the probability of working FT.
Regional differences across markets need to be controlled and their influence investigated. In addition, attitudes as well as wages and benefits were important in certain decisions: these factors are clearly under the influence of employers.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>18377910</pmid><doi>10.1016/j.ijnurstu.2008.02.003</doi><tpages>17</tpages></addata></record> |
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subjects | Cluster Analysis Employee turnover Female Humans Intent to work Job leaving Job satisfaction Metropolitan areas Nurses Nurses - psychology Nursing Nursing workforce Organizational commitment Panel survey Regression analysis RN satisfaction Studies Turnover United States Work environment Workloads |
title | Predictors of RNs’ intent to work and work decisions 1 year later in a U.S. national sample |
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