MARC Record from marc_columbia

LEADER: 08529cam a22003134a 4500
001 6280222
005 20221122014835.0
008 000724s2001 njua b 001 0 eng
010 $a 00061174
020 $a0130193399
020 $a9780130193391
035 $a(OCoLC)ocm44681910
035 $a(NNC)6280222
035 $a6280222
040 $aDLC$cDLC$dUOI$dBAKER$dBTCTA$dYDXCP$dOrLoB-B
042 $apcc
050 00 $aHA29$b.W33573 2001
082 00 $a300/.7/27$221
100 1 $aWalsh, Anthony,$d1941-$0http://id.loc.gov/authorities/names/n81024200
245 10 $aEssential statistics for the social and behavioral sciences :$ba conceptual approach /$cAnthony Walsh, Jane C. Ollenburger.
260 $aUpper Saddle River, NJ :$bPrentice Hall,$c2001.
300 $axii, 305 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
505 00 $gChapter 1.$tIntroduction to Statistical Analysis -- $tThinking Statistically -- $tDescriptive and Inferential Statistics -- $tDescriptive Statistics -- $tInferential Statistics -- $tStatistics and Error -- $tParametric and Nonparametric Statistics -- $tOperationalization -- $tReliability and Validity -- $tMeasurement -- $tDependent and Independent Variables -- $tNominal Level -- $tOrdinal Level -- $tInterval Level -- $tRatio Level -- $tThe Role of Statistics in Science -- $tPractice Application: Variables and Levels of Measurement -- $gChapter 2.$tPresenting and Summarizing Data -- $tTypes of Frequency Distributions -- $tInterpreting Cumulative Frequencies -- $tFrequency Distribution of Grouped Data -- $tLimits, Sizes, and Midpoints of Class Intervals -- $tAdvantages and Disadvantages of Grouping Data -- $tBar Graphs and Pie Charts -- $tHistograms and Frequency Polygons -- $tNumerical Summation of Data: Percentages, Proportions, and Ratios -- $tPractice Application: Displaying and Summarizing Data -- $gChapter 3.$tCentral Tendency and Dispersion -- $tMeasures of Central Tendency -- $tMode -- $tMedian -- $tComputing the Median with Grouped Data -- $tThe Mean -- $tComputing the Mean from Grouped Data -- $tA Research Example -- $tChoosing a Measure of Central Tendency -- $tMeasures of Dispersion -- $tRange -- $tStandard Deviation -- $tComputational Formula for s -- $tVariability and Variance -- $tComputing the Standard Deviation from Grouped Data -- $tCoefficient of Variation -- $tPractice Application: Central Tendency and Dispersion -- $gChapter 4.$tProbability and the Normal Curve -- $tProbability -- $tThe Multiplication Rule -- $tThe Addition Rule -- $tTheoretical Probability Distributions -- $tThe Normal Curve -- $tDifferent Kinds of Curves -- $tThe Standard Normal Curve -- $tThe z Scores -- $tFinding Area of the Curve Below the Mean -- $tPractice Application: The Normal Curve and z Scores -- $gChapter 5.$tThe Sampling Distribution and Estimation Procedures -- $tSampling -- $tSimple Random Sampling -- $tStratified Random Sampling -- $tThe Sampling Distribution -- $tThe Central Limit Theorem -- $tStandard Error of the Sampling Distribution -- $tPoint and Interval Estimates -- $tConfidence Intervals and Alpha Levels -- $tCalculating Confidence Intervals -- $tSampling and Confidence Intervals -- $tInterval Estimates for Proportions -- $tEstimating Sample Size -- $tEstimating Sample Size for Proportions -- $tPractice Application: The Sampling Distribution and Estimation -- $gChapter 6.$tHypothesis Testing: Interval/Ratio Data -- $tThe Logic of Hypothesis Testing -- $tThe Evidence and Statistical Significance -- $tErrors in Hypothesis Testing -- $tOne Sample z Test -- $tDecision Rule -- $tThe t Test -- $tDegrees of Freedom -- $tThe t Distribution -- $tDirectional Hypotheses: One- and Two-Tailed Tests -- $tComputing t -- $tt Test for Correlated (Dependent) Means -- $tEffects of Sample Variance on H[subscript 0] Decision -- $tLarge Sample t Test: A Computer Example -- $tInterpreting the Printout -- $tCalculating t with Unequal Variances -- $tTesting Hypotheses for Single-Sample Proportions -- $tStatistical Versus Substantive Significance, and Strength of Association -- $tPractice Application: t Test -- $gChapter 7.$tAnalysis of Variance -- $tAssumptions of Analysis of Variance -- $tThe Basic Logic of ANOVA -- $tThe Idea of Variance Revisited -- $tThe Advantage of ANOVA over Multiple Tests -- $tThe F Distribution -- $tAn Example of ANOVA -- $tDetermining Statistical Significance: Mean Square and the F Ratio -- $tETA Squared -- $tMultiple Comparisons: The Scheffe Test -- $tTwo-Way Analysis of Variance -- $tDetermining Statistical Significance -- $tSignificance Levels -- $tUnderstanding Interaction -- $tA Research Example of a Significant Interaction Effect -- $tPractice Application -- $gChapter 8.$tHypothesis Testing with Categorical Data: Chi-Square Test -- $tTable Construction -- $tPutting Percentages in Tables -- $tAssumptions for the Use of Chi-Square -- $tThe Chi-Square Distribution -- $tYates' Correction for Continuity -- $tChi-Square Distribution and Goodness of Fit -- $tChi-Square-Based Measures of Association -- $tSample Size and Chi-Square -- $tContingency Coefficient -- $tCramer's V -- $tA Computer Example of Chi-Square -- $tKruskal-Wallis One-Way Analysis of Variance -- $tPractice Application: Chi-Square -- $gChapter 9.$tNonparametric Measures of Association -- $tThe Idea of Association -- $tDoes an Association Exist? -- $tWhat Is the Strength of the Association? -- $tWhat Is the Direction of the Association? -- $tProportional Reduction in Error -- $tThe Concept of Paired Cases -- $tA Computer Example -- $tGamma -- $tLambda -- $tSomer's d -- $tTau-B -- $tThe Odd's Ratio and Yule's Q -- $tSpearman's Rank Order Correlation -- $tWhich Test of Association Should We Use? -- $tPractice Application: Nonparametric Measures of Association -- $gChapter 10.$tElaboration of Tabular Data -- $tCausal Analysis -- $tCriteria for Causality -- $tAssociation -- $tTemporal Order -- $tSpuriousness -- $tNecessary Cause -- $tSufficient Cause -- $tNecessary and Sufficient Cause -- $tA Statistical Demonstration of Cause-and-Effect Relationships -- $tMultivariate Contingency Analysis -- $tIntroducing a Third Variable -- $tExplanation and Interpretation -- $tIllustrating Elaboration Outcomes -- $tControlling for One Variable -- $tFurther Elaboration: Two Control Variables -- $tPartial Gamma -- $tWhen Not to Compute Partial Gamma -- $tProblems with Tabular Elaboration -- $tPractice Application: Bivariate Elaboration -- $gChapter 11.$tBivariate Correlation and Regression -- $tPreliminary Investigation: The Scattergram -- $tThe Slope -- $tThe Intercept -- $tThe Pearson Correlation Coefficient -- $tCovariance and Correlation -- $tPartitioning r Squared and Sum of Squares -- $tStandard Error of the Estimate -- $tStandard Error of r -- $tSignificance Testing for Pearson's r -- $tThe Interrelationship of b, r, and [beta] -- $tSummarizing Properties of r, b, and [beta] -- $tSummarizing Prediction Formulas -- $tA Computer Example of Bivariate Correlation and Regression -- $tPractice Application: Bivariate Correlation and Regression -- $tPractice Application: Bivariate Correlation and Regression -- $gChapter 12.$tMultivariate Correlation and Regression -- $tPartial Correlation -- $tComputing Partial Correlations -- $tComputer Example and Interpretation -- $tSecond-Order Partials: Controlling for Two Independent Variables -- $tThe Multiple Correlation Coefficient -- $tMultiple Regression -- $tThe Unstandardized Partial Slope -- $tThe Standardized Slope ([beta]) -- $tA Computer Example of Multiple Regression and Interpretation -- $tSummary Statistics: Multiple R, R[superscript 2], s[subscript Y.X], and ANOVA -- $tThe Predictor Variables: b, [beta], and t -- $tA Visual Representation of Multiple Regression -- $tDummy Variable Regression -- $tRegression and Interaction -- $tPractice Application: Partial Correlation -- $gChapter 13.$tIntroduction to Logistic Regression -- $tAn Example of Logit Regression -- $tInterpretation: Probabilities and Odds -- $tAssessing the Model Fit -- $tMultiple Logistic Regression -- $tPractice Application: Logistic Regression -- $gAppendix A.$tStatistical Tables -- $gAppendix B.$tAnswers to Odd Numbered Problems.
650 0 $aSocial sciences$xStatistical methods.$0http://id.loc.gov/authorities/subjects/sh85124018
700 1 $aOllenburger, Jane C.$0http://id.loc.gov/authorities/names/n90710062
852 00 $boff,war$hHA29$i.W33573 2001