It looks like you're offline.
Open Library logo
additional options menu
Open Library is running in limited-availability mode: login is disabled and some books may appear unavailable

MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-017.mrc:85902700:7142
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-017.mrc:85902700:7142?format=raw

LEADER: 07142cam a2200577 a 4500
001 8482331
005 20191003220107.0
007 co |g|||||||||
008 101104s2012 maua b 001 0 eng
010 $a 2010047145
035 $a(OCoLC)1121049102
035 $a(OCoLC)on1121049102
035 $a(NNC)8482331
040 $aDLC$beng$cDLC$dYDX$dBTCTA$dYDXCP$dBWX$dCDX$dUKMGB$dDEBBG$dBDX$dOCLCO$dOCLCF$dOCLCQ$dOCLCO$dOCLCQ$dNJK$dSFR$dSAV$dUX0$dAU@$dUKUOY$dOCLCQ$dOCLCO$dERD$dOCLCQ$dOCLCA$dTJC$dOCLCO$dOCLCA
015 $aGBB1D8547$2bnb
016 7 $a015810853$2Uk
019 $a1001889626$a1004452471$a1027943769$a1057093882$a1058038213$a1062130045$a1067174487$a1082513217
020 $a9780205019670$q(pbk.)
020 $a0205019676$q(pbk.)
024 8 $a99944414863
029 1 $aAU@$b000046206026
029 1 $aAU@$b000054703467
029 1 $aDEBBG$bBV039502471
029 1 $aNZ1$b13621837
029 1 $aUKMGB$b015810853
037 $bPearson College Div, C/O Pearson Education Order Dept 135 S Mount Zion rd, Lebanon, IN, USA, 46052$nSAN 200-2175
050 00 $aHA32$b.S93 2012
082 00 $a005.5/5$222
084 $aQH 231$2rvk
084 $aSK 850$2rvk
049 $aZCHA
100 1 $aSweet, Stephen A.
245 10 $aData analysis with SPSS :$ba first course in applied statistics /$cStephen Sweet, Karen Grace-Martin.
250 $a4th ed.
260 $aBoston :$bAllyn & Bacon,$c©2012.
300 $aix, 277 pages :$billustrations ;$c28 cm +$e1 CD-ROM (4 3/4 in.)
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (pages 274-275) and index.
505 00 $gMachine generated contents note:$gch. 1$tKey Concepts in Social Science Research --$tOverview --$tWhy Do We Need Statistics? --$tFraming Topics into Research Questions --$tTheories and Hypotheses --$tPopulation and Samples --$tRelationships and Causality --$tAssociation --$tTime Order --$tNonspuriousness --$tData Sets --$tParts of a Data Set --$tReliability and Validity --$tSummary --$tKey Terms --$tExercises --$gch. 2$tGetting Started: Accessing, Examining, and Saving Data --$tOverview --$tLayout of SPSS --$tTypes of Variables --$tString Variables --$tCategorical Variables --$tScale Variables --$tInitial Settings --$tDefining and Saving a New Data Set --$tManaging Data Sets: Dropping and Adding Variables, Merging Data Sets --$tDropping and Adding Variables --$tMerging and Importing Files --$tLoading and Examining an Exisiting File --$tSummary --$tKey Terms --$tExercises --$gch. 3$tUnivariate Analysis: Descriptive Statistics --$tOverview --$tWhy Do Researchers Perform Univariate Analysis? --$tExploring Distributions of Scale Variables --$tListing, Summarizing, and Sorting Observations --$tHistograms --$tShapes of Distributions --$tMeasures of Central Tendency --$tMeasures of Spread --$tBox Plots --$tExploring Distributions of Categorical Variables --$tPie Charts --$tBar Charts --$tSummary --$tKey Terms --$tExercises --$gch. 4$tConstructing Variables --$tOverview --$tWhy Construct New Variables From Existing Data? --$tRecoding Existing Variables --$tComputing New Variables --$tRecording Computations Using Syntax --$tMinimizing Missing Values in Computing New Variables --$tSummary --$tKey Terms --$tExercises --$gch. 5$tAssessing Association through Bivariate Analysis --$tOverview --$tWhy Do We Need Significance Tests? --$tHypotheses and Significance Tests --$tSignificance Levels --$tSample Sizes, Magnitudes of Effect and Significance. Levels --$tAnalyzing Bivariate Relationships Between Two Categorical Variables --$tCross Tabulations --$tBar Charts --$tAnalyzing Bivariate Relationships Between Two Scale Variables --$tCorrelations --$tScatterplots --$tSummary --$tKey Terms --$tExercises --$gch. 6$tComparing Group Means through Bivariate Analysis --$tOverview --$tOne-Way Analysis of Variance --$tPost-hoc Tests --$tAssumptions of ANOVA --$tIndependence Assumption --$tNormality Assumption --$tEqual Variance Assumption --$tGraphing the Results of ANOVA --$tBar Charts --$tBox Plots --$tT tests --$tIndependent Samples T Test --$tPaired-Samples T Test --$tSummary --$tKey Terms --$tExercises --$gch. 7$tModeling Relationships of Multiple Variables with Linear Regression --$tOverview --$tAdvantages of Modeling Relationships in Multiple Regression --$tPutting Theory First-When to Pursue Linear Regression --$tLinear Regression: A Bivariate Example --$tInterpreting The ANOVA F-test --$tInterpreting Linear Regression Coefficients --$tInterpreting the R-Square Statistic --$tPutting the Statistics Together --$tUsing Linear Regression Coefficients to Make Predictions --$tUsing Coefficients to Graph Bivariate Regression Lines --$tMultiple Linear Regression --$tInterpreting Multiple Linear Regression Coefficients --$tGraphing a Multiple Regression --$tOther Concerns In Applying Linear Regression --$tResiduals --$tConstant Variation --$tNormality of Residuals --$tBuilding Multiple Variable Models --$tDegrees of Freedom --$tCollinearity --$tDummy Variables --$tOutliers --$tCausality --$tSummary --$tKey Terms --$tExercises --$gch. 8$tLogistic Regression --$tOverview --$tWhat Is Logistic Regression? --$tWhen Can I Use a Logistic Regression? --$tUnderstanding Relationships through Probabilities --$tLogistic Regression: A Bivariate Example --$tInterpreting Odds Ratios and Logistic Regression Coefficients --$tUsing Logistic Regression Coefficients to Make Predictions --$tUsing Coefficients to Graph a Logistic Regression Line --$tModel Chi-Squares and Goodness of Fit --$tMultiple Variable Logistic Regression: An Example --$tInterpreting Logistic Regression Output --$tUsing Multiple Variable Logistic Regression Coefficients to Make Predictions --$tUsing Multiple Variable Coefficients to Graph a Logistic Regression Line --$tSummary --$tKey Terms --$tExercises --$gch. 9$tWriting a Research Report --$tOverview --$tWriting Style and Audience --$tStructure of a Report --$tTitle --$tAbstract --$tIntroduction --$tLiterature Review --$tMethods --$tFindings --$tConclusion --$tReferences --$tSummary --$tKey Terms --$tExercises --$gch. 10$tResearch Projects --$tPotential Research Projects --$gResearch Project 1$tRacism --$gResearch Project 2$tSuicide --$gResearch Project 3$tCriminality --$gResearch Project 4$tWelfare and Other Public Aid Consumption --$gResearch Project 5$tSexual Behavior --$gResearch Project 6$tEducation --$gResearch Project 7$tHealth --$gResearch Project 8$tHappiness --$gResearch Project 9$tYour Topic.
630 00 $aSPSS for Windows.
630 07 $aSPSS for Windows.$2fast$0(OCoLC)fst01380259
650 0 $aSocial sciences$xStatistical methods$xData processing.
650 2 $aSocial Sciences.
650 7 $aSocial sciences$xStatistical methods$xData processing.$2fast$0(OCoLC)fst01122985
650 7 $aDatenanalyse$2gnd$0(DE-588)4123037-1
650 7 $aStatistik$2gnd$0(DE-588)4056995-0
700 1 $aGrace-Martin, Karen.
852 00 $bsci,tech$hHA32$i.S93 2012$zAccompanied by 1 CD-ROM
852 00 $bhsl,stx$hHA32$i.S93 2012$zAccompanied by 1 CD-ROM