Number of results to display per page
 Palo Alto, CA : Information Publications, c1991.
 Description
 Book — xiv, 247 p. ; 23 cm.
 Online
 United States. Bureau of the Census.
 Washington, For sale by the Supt. of Docs., U.S. Govt. Print. Off., 1967]
 Description
 Book — viii, 372 p. 29 cm.
 Online
Law Library (Crown)
Law Library (Crown)  Status 

Find it Folios in the basement  
HA37 .U52 1967  Unknown 
 United States. Bureau of the Census.
 [Washington; For sale by the Supt. of Docs., U.S. Govt. Print. Off., 1970]
 Description
 Book — viii, 678 p. 29 cm.
 Online
Law Library (Crown)
Law Library (Crown)  Status 

Find it Folios in the basement  
HA37 .U52 1970  Unknown 
 Field, Andy P. author.
 Fourth edition.  Los Angeles : SAGE, [2013]
 Description
 Book — xxxvi, 915 pages : illustrations (chiefly color) ; 27 cm
 Summary

 Why Is My Evil Lecturer Forcing Me to Learn Statistics? What Will This Chapter Tell Me? What The Hell Am I Doing Here? I Don't Belong Here Initial Observation: Finding Something That Needs Explaining Generating Theories And Testing Them Collect Data to Test Your Theory Analyzing Data Reporting Data Everything You Never Wanted to Know about Statistics What Will This Chapter Tell Me? Building Statistical Models Populations And Samples Statistical Models Going Beyond The Data Using Statistical Models To Test Research Questions Modern Approaches toTheory Testing Reporting Statistical Models The IBM SPSS Statistics Environment What Will This Chapter Tell Me? Versions Of IBM SPSS Statistics Windows versus MacOS Getting Started The Data Editor Importing Data The SPSS Viewer Exporting SPSS Output The Syntax Editor Saving Files Retrieving A File Exploring Data with Graphs What Will This Chapter Tell Me? The Art Of Presenting Data The SPSS Chart Builder Histograms Boxplots (BoxWhisker Diagrams) Graphing Means: Bar Charts And Error Bars Line Charts Graphing Relationships: The Scatterplot Editing Graphs The Best of Bias What Will This Chapter Tell Me? What is Bias? Spotting Bias Reducing Bias Nonparametric Models What Will This Chapter Tell Me? When to Use Nonparametric Tests General Procedure on Nonparametric Tests in SPSS Comparing Teo Independent Conditions: The Wilcox Ranksum Test and MannWhitney Test Comparing Two Related Conditions: the Wilcoxon Signedrank Test Differences Between Several Independent Groups: The KruskalWallis Test Differences Between Several Related Groups: Friedman's ANOVA Correlation What Will This Chapter Tell Me? Modelling Relationships Data Entry For Correlation Analysis Using SPSS Bivariate Correlation Partial Correlation Comparing Correlations Calculating The Effect Size How To Report Correlation Coefficents Regression What Will This Chapter Tell Me? An Introduction To Regression Bias in Regrassion Models? Regression Using SPSS: One Predictor Multiple Regression Regression With Several Predictors Using SPSS Interpreting Multiple Regression Comparing Two Means What Will This Chapter Tell Me? Looking at Differences The ttest Assumptions of the ttest The Independent ttest Using SPSS Pairedsamples ttest Using SPSS Between Groups or Repeated Measures What is I Violate the Test Assumptions Moderation, Mediation and More Regression What Will This Chapter Tell Me? Installing Custom Dialog Boxes in SPSS Moderation: Interactions in Regression Mediation Categorical Predictors in Regression Comparing Several Means: ANOVA (GLM 1) What Will This Chapter Tell Me? The Theory Behind Anova Assumptions of Anova Planned Contrasts Post hoc Procedures Running Oneway Anova in SPSS Output From Oneway Anova Calculating the Effect Size Reporting Results From Oneway Independent Anova Analysis of Covariance, ANCOVA (GLM 2) What Will This Chapter Tell Me? What Is ANCOVA? Assumptions And Issues In ANCOVA Conducting ANCOVA in SPSS Interpreting the Output From ANCOVA Testing The Assumption Of Homogeneity Of Regression Slopes Calculating The Effect Size Reporting Results Factorial ANOVA (GLM 3) What Will This Chapter Tell Me? Theory Of Factorial ANOVA (Independent Designs) Assumptions of Factorial ANOVA Factorial ANOVA using SPSS Output From Factorial ANOVA Interpreting Interaction Graphs Calculating Effect Sizes Reporting The Results Of TwoWay ANOVA RepeatedMeasures Designs (GLM 4) What Will This Chapter Tell Me? Introduction To Repeated Measures Designs Theory Of OneWay RepeatedMeasures ANOVA Assumptions in RepeatedMeasures ANOVA OneWay Repeated Measures ANOVA Using SPSS Output For OneWay RepeatedMeasures ANOVA Effect Sizes For RepeatedMeasures ANOVA Reporting OneWay RepeatedMeasures ANOVA Factorial RepeatedMeasures Designs Output For Factorial RepeatedMeasures ANOVA Effect Sizes For Factorial RepeatedMeasures ANOVA Reporting The Results From Factorial RepeatedMeasures ANOVA Mixed Design ANOVA (GLM 5) What Will This Chapter Tell Me? Mixed Designs Assumptions in Mixed Designs What Do Men And Women Look For In A Partner? Mixed ANOVA in SPSS Output For Mixed Factorial ANOVA Calculating Effect Sizes Reporting The Results Of Mixed ANOVA Multivariate Analysis of Variance (MANOVA) What Will This Chapter Tell Me? When To Use MANOVA Introduction Theory Of MANOVA Practical Issues When Conducting MANOVA MANOVA Using SPSS Output From MANOVA Reporting Results From MANOVA Following Up MANOVA With Discriminant Analysis Output From The Discriminant Analysis Reporting Results From from Discriminant Analysis The Final Interpretation Exploratory Factor Analysis What Will This Chapter Tell Me? When To Use Factor Analysis Factors and Components Discovering Factors Research Example Running The Analysis Interpreting Output From SPSS How To Report Factor Analysis Reliability Analysis How To Report Reliability Analysis Categorical Data What Will This Chapter Tell Me? Analysing Categorical Data Theory Of Analysing Categorical Data Assumptions When Analysing Categorical Data Doing ChiSquare in SPSS LogLinear Analysis Using SPSS Effect Sizes In Loglinear Analysis Reporting The Results Of Loglinear Analysis Logistic Regression What Will This Chapter Tell Me? Background to Logistic Regression What are the Principles Behind Logistic Regression? Sources of Bias and Common Problems Binary Logistic Regression: An Example That Will Make You Feel Eel Interpreting Logistic Regression How to Report Logistic Regression Testing Assumptions: Another Example Predicting Several Categories: Multinominal Logistic Regression Multilevel Linear Models What Will This Chapter Tell Me? Hierarchical Data Theory Of Multilevel Linear Models The Multilevel Model Some Practical Issues Multilevel Modelling Using SPSS Growth Models How To Report A Multilevel Model A Message From The Octopus of Inescapable Despair Epilogue Nice Emails Everybody Thinks I'm A Statistician Craziness on a Grand Scale.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
 India. Census Commissioner.
 London, H.M. Stationery Off., 1943.
 Description
 Book — 1 online resource (16 pages) tables.
Law Library (Crown)
Law Library (Crown)  Status 

Online resource  
eResource  Unknown 
 Wojtkiewicz, Roger A., author.
 Los Angeles : SAGE, [2017]
 Description
 Book — xvii, 216 pages ; 23 cm
 Summary

 Chapter 1: Introductory Ideas Regression Modeling Control Modeling Modeling Interactions Modeling Linearity With Splines Testing Research Hypotheses Classical Approach to Regression Disadvantages of Classical Approach Discrete Approach to Regression Summary Key Concepts Notes
 Chapter 2: Basic Statistical Procedures Individual Units and Groups Measurement Level of Measurement Examples for Level of Measurement Count, Sum, and Transformations Mean Proportion and Percentage Odds and Log odds Examples of Means and Log Odds Differences Summary Key Concepts Chapter Exercises Notes
 Chapter 3: Regression Modeling Basics Difference between Means: The ttest Linear Regression With a TwoCategory Independent Variable Logistic Regression With a TwoCategory Independent Variable Linear Regression With a FourCategory Independent Variable Logistic Regression With a FourCategory Independent Variable Modeling Linear Effect With Dummy Variables Linear Coefficient in Linear Regression Linear Coefficient in Logistic Regression Using Dummy Variables for a Continuous Variable Summary Key Concepts Chapter Exercises Notes
 Chapter 4: Key Regression Modeling Concepts Unit Vector: Estimating the Intercept Nestedness HigherOrder Differences Constraints Summary Key Concepts Chapter Exercises Notes
 Chapter 5: Control Modeling Elementary Control Modeling Elaboration for Controlling Demographic Standardization for Controlling Small and Big Models Allocating Influence With Multiple Control Variables OneataTime Without Controls Step Approach OneataTime With Controls Hybrid Approach Nestedness and Constraints Example Using Logistic Regression Summary Key Concepts Chapter Exercises Notes
 Chapter 6: Modeling Interactions Interactions as Conditional Differences Interactions Between Dummy Variables Interactions Between Dummy Variables and an Interval Variable ThreeWay Interactions Estimating Separate Models Example Using Logistic Regression Summary Key Concepts Chapter Exercises Notes
 Chapter 7: Modeling Linearity With Splines Dummy Variables Nested in an Interval Variable Introduction to Knotted Spline Variables Spline Variables Nested in an Interval Variable Regression Modeling Using Spline Variables Working With a Continuous Independent Variable Example Using Logistic Regression Summary Key Concepts Chapter Exercises Notes
 Chapter 8: Conclusion: Testing Research Hypotheses Bivariate Hypothesis/No Controls Bivariate Hypothesis/Unanalyzed Controls Bivariate Hypothesis/Analyzed Controls Hypothesis Involving Interactions Hypothesis Involving Nonlinearity Final Comments Key Concepts Summary Chapter exercises Notes.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
47. Elementary statistics in social research [2010]
 Levin, Jack, 1941
 11th ed.  Boston : Allyn & Bacon Pearson, c2010.
 Description
 Book — xiv, 554 p. : ill. ; 24 cm.
 Summary

 Why the social researcher uses statistics
 Organizing the data
 Measures of central tendency
 Measures of variability
 Probability and the normal curve
 Samples and populations
 Testing differences between means
 Analysis of variance
 Nonparametric test of significance
 Correlation
 Regression analysis
 Nonparametric measures of correlation
 Choosing statistical procedures for research problems.
(source: Nielsen Book Data)
 Online
 United States. Department of State, author.
 [Washington, District of Columbia?] : [publisher not identified], [1832] [Getzville, New York] : William S. Hein & Company, [2018]
 Description
 Book — 1 online resource (2 pages).
Law Library (Crown)
Law Library (Crown)  Status 

Online resource  
eResource  Unknown 
49. Experimental design and analysis [1990]
 Brown, Steven R. (Steven Randall), 1939
 Newbury Park, Calif. : Sage Publications, c1990.
 Description
 Book — vi, 86 p. : ill. ; 22 cm.
 Summary

 Introduction and Overview Variability Test Analysis of Variance Completely Randomized Design Comparisons and Trends Treatments by Blocks Algorithms Factorial Design SpiltPlot and Repeated Measures Designs.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
 New York : Springer, c2004.
 Description
 Book — xxii, 382 p. : ill. ; 24 cm.
 Summary

 A Framework for Item Response Models. Descriptive and Explanatory Item Response Models. Models for Polytomous Data. An Introduction to (Generalized) (Non) Linear Mixed Models. Person Regression Models. Models with Item and Item Group Predictors. Personbyitem Predictors. Multiple Person Dimensions and Latent Item Predictors. Latent Item Predictors with Fixed Effects. Models for Residual Dependencies. Mixture Models. Estimation and Software.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
51. Federal statistical directory [1944  1987]
 Washington : Division of Statistical Standards, Bureau of the Budget : [For sale by the Supt. of Docs., U. S. Govt. Print. Off., 19441987.
 Description
 Journal/Periodical — 21 v. ; 2327 cm.
 Online
Law Library (Crown)
Law Library (Crown)  Status 

Find it
Basement


HA37 .U118 28TH(1987)  Inlibrary use 
HA37 .U118 27TH(1984)  Inlibrary use 
HA37 .U118 26TH(1979)  Inlibrary use 
HA37 .U118 25TH(1976)  Inlibrary use 
HA37 .U118 24TH(1974)  Inlibrary use 
HA37 .U118 23RD(1972)  Inlibrary use 
HA37 .U118 22ND(1984)  Inlibrary use 
52. Federal statistical source [1991  ]
 Phoenix, AZ : Oryx Press, 1991
 Description
 Journal/Periodical — v. ; 28 cm.
 Online
53. Federal statistics : report [1971]
 United States. President's Commission on Federal Statistics.
 Washington : for sale by the Supt. of Docs., U.S. G.P.O., 1971.
 Description
 Book — 2 v. in 1 : ill. ; 24 cm.
 Summary

 v. 1,
 Chapter 6. Privacy and confidentialityv. 2,
 Chapter 5. Statistics and the problem of privacy, by Arthur L. Moore
 Chapter 11. Statistics in legal settings in Federal agencies, by Herbert Solomon
 Chapter 12. The future of law enforcement statistics, by Hans Zeisel.
 Online
 Berinstein, Paula.
 Medford, NJ : Information Today, 1998.
 Description
 Book — xxv, 356 p. :bill. ; 24 cm.
 Summary

Written by an online researcher, this book shows how to effectively search the Internet and online services for that elusive piece of data needed to support an argument or wrap up a report.
(source: Nielsen Book Data)
 Online
 Cramer, Duncan, 1948
 London [England] ; New York : Routledge, 1998.
 Description
 Book — xxi 456 p. : ill. ;24 cm.
 Summary

 List of boxes. List of figures. List of tables. Preface.
 1. Role of statistics in social psychology
 2. Measurement and univariate analysis
 3. Introducing SPSS for Windows
 4. Statistical significance and choice of test
 5. Tests of difference for interval/ratio data on unrelated samples for one factor
 6. Tests of association for interval/ratio data
 7. Bivariate and multiple regression
 8. Tests of difference for interval/ratio data on related samples for one factor
 9. Tests of difference for interval/ratio data on unrelated samples for two factors
 10. Tests of difference for interval/ratio data on related samples for two factors
 11. Tests of difference for categorical data
 12. Tests of difference for ordinal data
 13. Tests of association for categorical and ordinal data
 14. Measurement reliability and agreement. Appendices. Answers to exercises. Bibliography. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
56. A gentle introduction to Stata [2016]
 Acock, Alan C., 1944 author.
 Fifth edition.  College Station, Texas : A Stata Press Publication, StataCorp LP, 2016.
 Description
 Book — xxxvi, 546 pages : illustrations ; 24 cm
 Summary

 Getting started Conventions Introduction The Stata screen Using an existing dataset An example of a short Stata session Video aids to learning Stata Summary Exercises
 Entering data Creating a dataset An example questionnaire Developing a coding system Entering data using the Data Editor Value labels The Variables Manager The Data Editor (Browse) view Saving your dataset Checking the data Summary Exercises
 Preparing data for analysis Introduction Planning your work Creating value labels Reversecode variables Creating and modifying variables Creating scales Save some of your data Summary Exercises
 Working with commands, dofiles, and results Introduction How Stata commands are constructed Creating a dofile Copying your results to a word processor Logging your command file Summary Exercises
 Descriptive statistics and graphs for one variable Descriptive statistics and graphs Where is the center of a distribution? How dispersed is the distribution? Statistics and graphsunordered categories Statistics and graphsordered categories and variables Statistics and graphsquantitative variables Summary Exercises
 Statistics and graphs for two categorical variables Relationship between categorical variables Crosstabulation Chisquared test Degrees of freedom Probability tables Percentages and measures of association Odds ratios when dependent variable has two categories Ordered categorical variables Interactive tables Tableslinking categorical and quantitative variables Power analysis when using a chisquared test of significance Summary Exercises
 Tests for one or two means Introduction to tests for one or two means Randomization Random sampling Hypotheses Onesample test of a proportion Twosample test of a proportion Onesample test of means Twosample test of group means Testing for unequal variances Repeatedmeasures t test Power analysis Nonparametric alternatives MannWhitney twosample ranksum test Nonparametric alternative: Median test Video tutorial related to this chapter Summary Exercises
 Bivariate correlation and regression Introduction to bivariate correlation and regression Scattergrams Plotting the regression line An alternative to producing a scattergram, binscatter Correlation Regression Spearman's rho: Rankorder correlation for ordinal data Power analysis with correlation Summary Exercises
 Analysis of variance The logic of oneway analysis of variance ANOVA example ANOVA example with nonexperimental data Power analysis for oneway ANOVA A nonparametric alternative to ANOVA Analysis of covariance Twoway ANOVA Repeatedmeasures design Intraclass correlation<measuring agreement Power analysis with ANOVA Power analysis for oneway ANOVA Power analysis for twoway ANOVA Power analysis for repeatedmeasures ANOVA Summary of power analysis for ANOVA Summary Exercises
 Multiple regression Introduction to multiple regression What is multiple regression? The basic multiple regression command Increment in Rsquared: Semipartial correlations Is the dependent variable normally distributed? Are the residuals normally distributed? Regression diagnostic statistics Outliers and influential cases Influential observations: DFbeta Combinations of variables may cause problems Weighted data Categorical predictors and hierarchical regression A shortcut for working with a categorical variable Fundamentals of interaction Nonlinear relations Fitting a quadratic model Centering when using a quadratic term Do we need to add a quadratic component? Power analysis in multiple regression Summary Exercises
 Logistic regression Introduction to logistic regression An example What is an odds ratio and a logit? The odds ratio The logit transformation Data used in the rest of the chapter Logistic regression Hypothesis testing Testing individual coefficients Testing sets of coefficients More on interpreting results from logistic regression Nested logistic regressions Power analysis when doing logistic regression Next steps for using logistic regression and its extensions Summary Exercises
 Measurement, reliability, and validity Overview of reliability and validity Constructing a scale Generating a mean score for each person Reliability Stability and testretest reliability Equivalence Splithalf and alpha reliabilitinternal consistency KuderRichardson reliability for dichotomous items Rater agreementkappa (K) Validity Expert judgment Criterionrelated validity Construct validity Factor analysis PCF analysis Orthogonal rotation: Varimax Oblique rotation: Promax But we wanted one scale, not four scales Scoring our variable Summary Exercises
 Working with missing valuesmultiple imputation The nature of the problem Multiple imputation and its assumptions about the mechanism for missingness What variables do we include when doing imputations? Multiple imputation A detailed example Preliminary analysis Setup and multipleimputation stage The analysis stage For those who want an R and standardized sss When impossible values are imputed Summary Exercises
 The sem and gsem commands Linear regression using sem Using the SEM Builder to fit a basic regression model A quick way to draw a regression model and a fresh start Using sem without the SEM Builder The gsem command for logistic regression Fitting the model using the logit command Fitting the model using the gsem command Path analysis and mediation Conclusions and what is next for the sem command Exercises
 An introduction to multilevel analysis Questions and data for groups of individuals Questions and data for a longitudinal multilevel application Fixedeffects regression models Randomeffects regression models An applied example Research questions Reshaping data to do multilevel analysis A quick visualization of our data Randomintercept model Random interceptlinear model Randomintercept modelquadratic term Treating time as a categorical variable Randomcoefficients model Including a timeinvariant covariate Summary Exercises
 Item response theory (IRT) How are IRT measures of variables different from summated scales? Overview of three IRT models for dichotomous items The oneparameter logistic (PL) model The twoparameter logistic (PL) model The threeparameter logistic (PL) model Fitting the PL model using Stata The estimation How important is each of the items? An overall evaluation of our scale Estimating the latent score Fitting a PL IRT model Fitting the PL model The graded response modelIRT for Likerttype items The data Fitting our graded response model Estimating a person's score Reliability of the fitted IRT model Using the Stata menu system Extensions of IRT Exercises
 What's next? Introduction to the appendix Resources Web resources Books about Stata Short courses Acquiring data Learning from the postestimation methods Summary.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
57. A gentle introduction to Stata [2006]
 Acock, Alan C., 1944
 College Station, Tex. : StataCorp LP, c2006.
 Description
 Book — xx, 289 p. : ill. ; 24 cm.
 Summary

 PrefaceSupport Materials for the BookGETTING STARTEDIntroductionThe Stata screenUsing an existing datasetAn example of a short Stata sessionConventionsChapter summaryExercisesENTERING DATACreating a datasetAn example questionnaireDevelop a coding systemEntering dataSaving your datasetChecking the dataChapter summaryExercisesPREPARING DATA FOR ANALYSISIntroductionPlan your workCreate value labelsReversecode variablesCreate and modify variablesCreate scalesSave some of your dataSummaryExercisesWORKING WITH COMMANDS, DOFILES, AND RESULTSIntroductionHow Stata commands are constructedGetting the command from the menu systemSaving your resultsLogging your command fileSummaryExercisesDESCRIPTIVE STATISTICS AND GRAPHS FOR A SINGLE VARIABLEDescriptive statistics and graphsWhere is the center of a distribution?How dispersed is the distribution?Statistics and graphsunordered categoriesStatistics and graphsordered categories and variablesStatistics and graphsquantitative variablesSummaryExercisesSTATISTICS AND GRAPHS FOR TWO CATEGORICAL VARIABLESRelationship between categorical variablesCrosstabulationChisquaredPercentages and measures of associationOrdered categorical variablesInteractive tablesTableslinking categorical and quantitative variablesSummaryExercisesTESTS FOR ONE OR TWO MEANSTests for one or two meansRandomizationHypothesesOnesample test of a proportionTwosample test of a proportionOnesample test of meansTwosample test of group meansRepeatedmeasures t testPower analysisNonparametric alternativesSummaryExercisesBIVARIATE CORRELATION AND REGRESSIONIntroduction to bivariate correlation and regressionScattergramsPlotting the regression lineCorrelationRegressionSpearman's rho: rankorder correlation for ordinal dataAlpha reliabilityKappa as a measure of agreement for categorical dataSummaryExercisesANALYSIS OF VARIANCE (ANOVA)The logic of oneway analysis of varianceANOVA exampleANOVA example using survey dataA nonparametric alternative to ANOVAAnalysis of covarianceTwoway ANOVARepeatedmeasures designIntraclass correlationmeasuring agreementSummaryExercisesMULTIPLE REGRESSIONIntroductionWhat is multiple regression?The basic multiple regression commandIncrement in Rsquared: semipartial correlationsIs the dependent variable normally distributed?Are the residuals normally distributed?Regression diagnostic statisticsWeighted dataCategorical predictors and hierarchical regressionFundamentals of interactionSummaryExercisesLOGISTIC REGRESSIONIntroductionAn exampleWhat are an odds ratio and a logit?Data used in rest of chapterLogistic regressionHypothesis testingNested logistic regressionsSummaryExercisesWHAT'S.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
58. Handbook of international economic statistics [1992  1999]
 Washington, D.C. : The Directorate, 19921999.
 Description
 Journal/Periodical — v. : ill., maps ; 22 x 28 cm.
 Washington, D.C. : U.S. Dept. of Commerce, Bureau of the Census : For sale by the Supt. of Docs., U.S. G.P.O., [1960]
 Description
 Book — xi, 789 p. ; 30 cm.
 Online
Law Library (Crown)
Law Library (Crown)  Status 

Find it Folios in the basement  
HA202.A385 1960  Inlibrary use 
 United States. Bureau of the Census.
 Washington : U.S. Govt. Print. Off., 1965.
 Description
 Book — iv, 154 p. ; 29 cm.
 Online