A gentle introduction to stata / (Record no. 3478)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06898nam a2200181 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781597181426 (pb) |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.55 |
| Item number | ACO/G |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Acock, Alan C. |
| 245 ## - TITLE STATEMENT | |
| Title | A gentle introduction to stata / |
| Statement of responsibility, etc. | Alan C. Acock |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 4th ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Stata press , |
| Date of publication, distribution, etc. | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiii, 468 p. |
| Other physical details | ill. ; |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes index |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Getting started<br/>1.1 Conventions<br/>1.2 Introduction<br/>1.3 The Stata screen<br/>1.4 Using an existing datiuset<br/>1.5 An example of a short Stata session<br/>1.6 Summary<br/>1.7 Exercises .<br/>Entering data<br/>2.1 Creating a datiuset<br/>2.2 An example questionnaire<br/>2.3 Developing a coding system<br/>2.4 Entering data using the Data Editor<br/>2.4.1 Value labels<br/>2.5 The Variables Manager<br/>2.6 The Data Editor (Browse;) view<br/>2.7 Saving your dataset<br/>2.8 Checking tlu; data<br/>2.9 Summary<br/>2.10 Exercises<br/>Preparing data for analysis<br/>3.1 Introduction<br/>3.2 Planning your work<br/>3.3 Creating value labels<br/>3.4 Reverse-code variables<br/>3.5 Creating and modifying variables<br/>3.6 Creating scales<br/>3.7 Saving some of your data<br/>3.8 Summary<br/>3.9 Exercises .<br/>Working with commands, do-files, and results<br/>4.1 Introduction ,<br/>4.2 How Stata commands are constructed<br/>4.3 Creating a do-file<br/>4.4 Copying your results to a word processor<br/>4.5 Logging,your command file<br/>4.6 Summary<br/>4.7 Exercises .<br/>Descriptive statistics and graphs for one variable<br/>5.1 Descriptive statistics and graphs<br/>5.2 Where is the center of a distribution?<br/>5.3 How dispersed is the distribution?<br/>5.4 Statistics and graphs -unordered categories<br/>5.5 Statistics and graphs—ordered categories and variables<br/>5.6 Statistics and graphs—quantitative variables<br/>5.7 Summary<br/>5.8 Exercises.<br/>Statistics and graphs for two categorical variables<br/>6.1 Relationsliip between categorical variables<br/>6.2 Cross-tabulation<br/>6.3 Clii-squared tost<br/>6.3.1 Degrees of freedom<br/>6.3.2 Probability tal>les .<br/>6.4 Percentages and measures of association<br/>6.5 Odds ratios when dependent variable hiis two categories<br/>6.6 Ordered categorical variables<br/>6.7 Interactive tables<br/>6.8 Tables linking categorical and quantitative variables . . .<br/>6.9 Power analysis when using a chi-squared test of significance<br/>6.10 Summary<br/>6.11 Exercises.<br/>Tests for one or two means<br/>7.1 Introduction to tests for one or two means<br/>7.2 Randomization . .<br/>7.3 Random sampling .<br/>7.4 Hypotheses<br/>7.5 One-sample test of a proportion .<br/>7.6 Two-sample test of a proportion<br/>7.7 One-samj)le test of means . . . .<br/>7.8 Two-sample test of group means<br/>7.8.1 Testing for unequal variances<br/>7.9 Repeated-measures t test<br/>7.10 Power analysis<br/>7.11 Nonparametric alternatives<br/>7.11.1 Mann Whitney two-sample rank-sum test<br/>7.11.2 Nonparametric alternative: Median test<br/>7.12 Summary<br/>7.13 Exercises .<br/>5 Bivaxiate correlation and regression<br/>8.1 Introduction to bivfiiialc correlation and regression<br/>8.2 Scattorgrains<br/>8.3 Plotting the regression line<br/>8.4 An alternative to producing a scattcrgrain. l^inscattcr<br/>8.5 Correlation<br/>8.6 R.cgiTssion .<br/>8.7 Speannan's rho: Riiiik-order correlation for ordinal data .<br/>8.8 Summary<br/>8.9 Exercises .<br/>9 Analysis of variance<br/>9.1 The logic of one-way analysis of variance<br/>9.2 ANOVA example<br/>9.3 ANOVA example using survey data<br/>9.4 A noiiparainetric alternative to ANOVA<br/>9.5 Analysis of covariancc<br/>9.6 Two-way ANOVA<br/>9.7 Repeated-measurers design<br/>9.8 Intraclass correlation measuring agreement .<br/>9.9 Power analysis witli ANOVA<br/>9.9.1 One-way ANOVA<br/>Power analysis for two-way ANOVA<br/>9.9.2 Power analysis for rei)eated-m(ra.sure.s ANOVA .<br/>9.9.3 Summary of power analysis for ANOVA<br/>9.10 S\imniary<br/>9.11 Exercises.<br/>10 Multiple regression<br/>10.1 Introduction to multiple regression<br/>10.2 What is multiple r(?gressi()n?<br/>10.3 The imsic mult iple regression eoiiimaiid<br/>10.4 Incrcinont in Il-scinarcd: Soniipartial correlatioiivS<br/>10.5 Is the (lepcncleiit variabk.' nonnally distributed? .<br/>10.6 Are the residuals nonnally distributed? .<br/>10.7 Regression diagnostic statistics<br/>10.7.1 Outliers and influential Cciaes<br/>10.7.2 Influent ial ob.servations: DFbcta<br/>10.7.3 Combinations of variables may cause proPieius<br/>10.8 Weighted data .<br/>10.9 Categorical predictors and hierarchical regression<br/>10.10 A sliortcut for working with a categorical variable<br/>10.11 Fundamentals of interaction<br/>10.12 NonliiK^ar relations<br/>10.12.1 Fitting a quadratic model<br/>10.12.2 Centering when using a quadratic term .<br/>10.12.3 Do we iukhI to add a quadratic component? .<br/>10.13 Power analysis in multii)]e regression<br/>10.14 Summary<br/>10.15 Exer(;ises<br/>11 Logistic regression<br/>11.1 Introduct ion to logistic regn^ssion<br/>11.2 An exam})le<br/>11.3 What is an odds ratio and a logit?<br/>11.3.1 The odds ratio<br/>11.3.2 Tlie logit transformation<br/>11.4 Data u.sed in the rest of the chapter<br/>11.5 Logist ic regression<br/>ll.G Hypotiiesis testing<br/>ll.G.l Testing individual coeflicients<br/>11.6.2 Test ing sets of coeflicients<br/>11.7 More on interpret ing results from logistic regres.sioii<br/>11.8 Ni'.stc(l logistic rcgrc.ssioiis<br/>11.9 Power analysis when doing logist ic regression<br/>11.10 Snnnnary<br/>11.11 Exercises .<br/>12 Measurement, reliability, and validity<br/>12.1 Overview of reliability and validity<br/>12.2 Constructing a scale<br/>12.2.1 Generating a mean score for each person<br/>12.3 Reliability<br/>12.3.1 Stability and test-retest reliability<br/>12.3.2 Ecini valence<br/>12.3.3 Split-half and alpha reliability— internal consistency<br/>12.3.4 Ktider Richardson reliability for dichotomous items .<br/>12.3.5 Rater agreement—kappa (k)<br/>12.4 Validity<br/>12.4.1 Expert judgment<br/>12.4.2 Criterion-related validity . .<br/>12.4.3 Construct validity<br/>12.5 Factor analysis<br/>12.6 PCF analysis<br/>12.6.1 Orthogonal rotation: Varimax .<br/>12.6.2 Oblicine rotation: Promax<br/>12.7 But we wanted one .scale, not four scales<br/>12.7.1 Scoring our variabl(><br/>12.8 Summary<br/>12.9 Exercises.<br/>13 Working with missing values—multiple imputation<br/>1.1.1 The nature of the problem<br/>13.2 Multiple imputation and its a.s.sumptions about the mechani.sm for<br/>missingness . . . .<br/>13.3 What variables do we include when doing imputations?<br/>13.4 Multiple imputation<br/>13.5 A detailed example<br/>13.5.1 Preliminary analysis<br/>13.5.2 Setup and multiple-imputation stage<br/>13.5.3 The analysis stage<br/>13.5.4 For those who want an B? and standardized /3s<br/>13.5.5 When impossible values are imputed<br/>13.6 Summary<br/>13.7 Exercises .<br/>14 The sem and gsem commands<br/>14.1 Ordinary least-squares regression models using sem<br/>14.1.1 Using the SEM Builder to fit a basic regression model<br/>14.2 A quick way to draw a regression model and a fresh start<br/>14.2.1 Using sem without the SEM Builder<br/>14.3 The gsem command for logistic regression<br/>14.3.1 Fitting the model using the logit command<br/>14.3.2 Fitting the model using the gsem command<br/>14.4 Path analysis and mediation<br/>14.5 Conclusions and what is next for the sem command .<br/>14.6 Exercises<br/>A What's next?<br/>A.l Introduction to the appendix<br/>A. 2 Resources<br/>A.2.1 Web resources<br/>A.2.2 Books about Stata<br/>A.2.3 Short courses .<br/>A.2.4 Acquiring data |
| 650 ## - SUBJECT | |
| Keyword | Computer Programming |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | GN Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 23/06/2016 | 005.55 ACO/G | P36321 | 28/10/2024 | 28/10/2024 | General Books |