| Record ID | harvard_bibliographic_metadata/ab.bib.14.20150123.full.mrc:189415080:1862 |
| Source | harvard_bibliographic_metadata |
| Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.14.20150123.full.mrc:189415080:1862?format=raw |
LEADER: 01862cam a2200385Ii 4500
001 014139858-2
005 20141028115638.0
008 140416s2014 txua b 001 0 eng
010 $a 2014935652
020 $a1597181420
020 $a9781597181426
035 0 $aocn880910527
040 $aAU@$beng$erda$cAU@$dOCLCO$dIXA$dYDXCP$dCHVBK
050 4 $aQA276.4$b.A36 2014
082 04 $a005.5/5$223
100 1 $aAcock, Alan C.,$d1944-$eauthor.
245 12 $aA gentle introduction to Stata /$cAlan C. Acock, Oregon State University.
250 $aFourth Edition.
264 1 $aCollege Station, Texas :$bA Stata Press Publication, StataCorp LP,$c2014.
300 $axxx, 468 pages :$billustrations ;$c24 cm
336 $atext$2rdacontent
336 $astill image$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
504 $aIncludes bibliographical references (pages 453-455) and index.
505 0 $a1. Getting started -- 2. Entering data -- 3. Preparing data for analysis -- 4. Working with commands, do-files, and results -- 5. Descriptive statistics and graphs for one variable -- 6. Statistics and graphs for two categorical variables -- 7. Tests for one or two means -- 8. Bivariate correlation and regression -- 9. Analysis of variance -- 10. Multiple regression -- 11. Logistic regression -- 12. Measurement, reliability, and validity -- 13. Working with missing values -- 14. The sem and gsem commands -- A. What's next?
630 00 $aStata.
650 0 $aStatistics$xComputer programs.
650 0 $aStatistics$xGraphic methods$xComputer programs.
650 0 $aSocial sciences$xStatistical methods$xComputer programs.
650 0 $aSocial sciences$xStatistics$xComputer programs.
650 0 $aMathematical statistics$xComputer programs.
650 7 $aStata.$2gnd
988 $a20140814
906 $0OCLC