Age at Marriage, Family Planning Practices, and other Variables as Correlates of Fertility in Korea
The relationships between fertility and thirteen variables are examined in three groups of married Korean women, about 400 each from urban, rural, and semi-rural areas. Data were obtained by interview. Age at marriage and family planning practice are the strongest predictors of fertility and account...
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Veröffentlicht in: | Demography 1974-11, Vol.11 (4), p.641-656 |
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description | The relationships between fertility and thirteen variables are examined in three groups of married Korean women, about 400 each from urban, rural, and semi-rural areas. Data were obtained by interview. Age at marriage and family planning practice are the strongest predictors of fertility and account for about 10 percent and 7 percent of the total variance, respectively. Other factors which accounted for lesser fractions of variability are ideal number of children, rural versus urban residence, education, aspiration for daughters, exposure to mass media, and economic status. Most of the relationships appear to be stable over time; others, which are associated with modernization, appear to be changing. The thirteen variables combined can account for a maximum of 40 percent of the variance in fertility. |
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Data were obtained by interview. Age at marriage and family planning practice are the strongest predictors of fertility and account for about 10 percent and 7 percent of the total variance, respectively. Other factors which accounted for lesser fractions of variability are ideal number of children, rural versus urban residence, education, aspiration for daughters, exposure to mass media, and economic status. Most of the relationships appear to be stable over time; others, which are associated with modernization, appear to be changing. 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The thirteen variables combined can account for a maximum of 40 percent of the variance in fertility.</description><subject>Age</subject><subject>Age groups</subject><subject>Children</subject><subject>Family planning</subject><subject>Female fertility</subject><subject>Mass media</subject><subject>Pregnancy</subject><subject>Statistical significance</subject><subject>Statistical variance</subject><subject>Women</subject><issn>0070-3370</issn><issn>1533-7790</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1974</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNpdkE1LxDAQhoMoun7gHxAJePBidfLRJj3K4qq4ogf1WtJ0umbpNppkD_vvreyq4GWGYZ55eecl5JjBJRegrjgUIFW-RUYsFyJTqoRtMgJQkAmhYI_sxzgHgFLmfJfsccZVqXIYEXs9Q2oSfTQhODPDCzoxC9et6HNn-t71M_ocjE3OYrygpm-oT-8Y6JsZ6LrDSE2kYx8CdiYNk2_pBENynUsr6nr64AOaQ7LTmi7i0aYfkNfJzcv4Lps-3d6Pr6eZFaVImZY2b1Bro9pmqFJwluvCQiGwaIxiteK1NN_GJW_zVsvCalAcOS_aGoQSB-R8rfsR_OcSY6oWLlrshk_QL2OlpS60kowN5Nk_cu6XoR_MVYyXimtV6vJPzwYfY8C2-ghuYcKqYlB9x15tYh_I043esl5g88v95DwAJ2tgHpMPf_vN_Rd__IML</recordid><startdate>197411</startdate><enddate>197411</enddate><creator>Kim, Mo-Im</creator><creator>Rider, Rowland V.</creator><creator>Harper, Paul A.</creator><creator>Yang, Jae-Mo</creator><general>Population Association of America</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>FUVTR</scope><scope>HQAFP</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7X8</scope></search><sort><creationdate>197411</creationdate><title>Age at Marriage, Family Planning Practices, and other Variables as Correlates of Fertility in Korea</title><author>Kim, Mo-Im ; Rider, Rowland V. ; Harper, Paul A. ; Yang, Jae-Mo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-84c5de88a7fd88a4321586c063e6da71b72b4a279742f5f846c8072e226fb0373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1974</creationdate><topic>Age</topic><topic>Age groups</topic><topic>Children</topic><topic>Family planning</topic><topic>Female fertility</topic><topic>Mass media</topic><topic>Pregnancy</topic><topic>Statistical significance</topic><topic>Statistical variance</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Mo-Im</creatorcontrib><creatorcontrib>Rider, Rowland V.</creatorcontrib><creatorcontrib>Harper, Paul A.</creatorcontrib><creatorcontrib>Yang, Jae-Mo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 06</collection><collection>Periodicals Index Online Segment 23</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>MEDLINE - Academic</collection><jtitle>Demography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Mo-Im</au><au>Rider, Rowland V.</au><au>Harper, Paul A.</au><au>Yang, Jae-Mo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Age at Marriage, Family Planning Practices, and other Variables as Correlates of Fertility in Korea</atitle><jtitle>Demography</jtitle><addtitle>Demography</addtitle><date>1974-11</date><risdate>1974</risdate><volume>11</volume><issue>4</issue><spage>641</spage><epage>656</epage><pages>641-656</pages><issn>0070-3370</issn><eissn>1533-7790</eissn><abstract>The relationships between fertility and thirteen variables are examined in three groups of married Korean women, about 400 each from urban, rural, and semi-rural areas. Data were obtained by interview. Age at marriage and family planning practice are the strongest predictors of fertility and account for about 10 percent and 7 percent of the total variance, respectively. Other factors which accounted for lesser fractions of variability are ideal number of children, rural versus urban residence, education, aspiration for daughters, exposure to mass media, and economic status. Most of the relationships appear to be stable over time; others, which are associated with modernization, appear to be changing. The thirteen variables combined can account for a maximum of 40 percent of the variance in fertility.</abstract><cop>United States</cop><pub>Population Association of America</pub><pmid>21279750</pmid><doi>10.2307/2060475</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Age groups Children Family planning Female fertility Mass media Pregnancy Statistical significance Statistical variance Women |
title | Age at Marriage, Family Planning Practices, and other Variables as Correlates of Fertility in Korea |
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