MARC Record from marc_columbia

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008 000807s1993 caua ob 000 0 eng d
010 $a 92041965
035 $a(OCoLC)ocm44962463
035 $a(NNC)4249595
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020 $a0585213348$q(electronic bk.)
020 $a9780585213347$q(electronic bk.)
020 $a9781412985628$q(electronic bk.)
020 $a1412985625$q(electronic bk.)
020 $a0803951280
020 $a9780803951280
035 $a(OCoLC)44962463$z(OCoLC)935278705$z(OCoLC)961576377$z(OCoLC)962644508$z(OCoLC)984857607$z(OCoLC)999411763$z(OCoLC)1053011772$z(OCoLC)1066434315$z(OCoLC)1107334404$z(OCoLC)1126205828$z(OCoLC)1228595805
050 4 $aHA31.3$b.H37 1993eb
070 0 $aHA31.3$b.H37 1993eb
072 7 $aSOC$x019000$2bisacsh
082 04 $a300/.1/519536$220
049 $aZCUA
100 1 $aHardy, Melissa A.,$d1952-$eauthor.
245 10 $aRegression with dummy variables /$cMelissa A. Hardy.
260 $aNewbury Park, Calif. :$bSage Publications,$c©1993.
300 $a1 online resource (vi, 90 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$2rda
490 1 $aSage university papers series. Quantitative applications in the social sciences ;$vno. 07-093
504 $aIncludes bibliographical references (pages 88-90).
520 8 $aIn this book Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity, and estimating a piecewise linear regression.
588 0 $aPrint version record.
505 0 $a1. Introduction -- A review of multiple regression -- 2. Creating dummy variables -- Choosing a reference group -- Descriptive statistics -- Distributional statistics -- Correlation -- Partial correlations -- 3. Using dummy variables as regressors -- Regression with one dummy variable -- Regression with multiple dummy variables -- Assessing differences between specified categories -- Adding a second qualitative measure -- Predicted values -- Adding quantitative variables to the specification -- 4. Assessing group differences in effects -- Specifying interaction effects -- Separate subgroup regressions -- Dealing with heteroscedasticity -- Interpreting dummy variables in semilogarithmic equations -- Testing for heteroscedasticity with more than two groups -- Methods for making multiple comparisons with nonindependent tests -- 5. Alternative coding schemes for dummy variables -- Effects-coded dummy variables -- Regression results -- Contrast-coded dummy variables -- Regression results -- 6. Special topics in the use of dummy variables -- Dummy variables in logit models -- Testing for curvilinearity -- Piecewise linear regression -- Dummy variables in time-series data -- Dummy variables and autocorrelation -- 7. Conclusions.
650 0 $aSocial sciences$xStatistical methods.
650 0 $aRegression analysis.
650 0 $aDummy variables.
650 2 $aRegression Analysis
650 6 $aSciences sociales$xMéthodes statistiques.
650 6 $aAnalyse de régression.
650 6 $aVariables muettes.
650 7 $aSOCIAL SCIENCE$xMethodology.$2bisacsh
650 7 $aDummy variables.$2fast$0(OCoLC)fst00899440
650 7 $aRegression analysis.$2fast$0(OCoLC)fst01432090
650 7 $aSocial sciences$xStatistical methods.$2fast$0(OCoLC)fst01122983
650 17 $aRegressieanalyse.$2gtt
650 17 $aDummyvariabelen.$2gtt
655 0 $aElectronic books.
655 3 $aInternet resource.
655 4 $aElectronic books.
776 08 $iPrint version:$aHardy, Melissa A., 1952-$tRegression with dummy variables.$dNewbury Park, Calif. : Sage Publications, ©1993$z0803951280$w(DLC) 92041965$w(OCoLC)27070930
830 0 $aQuantitative applications in the social sciences ;$vno. 07-093.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio4249595$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS