Description
SAGE PUBLISHING Introduction To Statistics And Data Analysis Using Stata® From Research Design To Final Report 1St Edition 2019 Edition by Lisa Daniels, Nicholas Minot
Students and researchers across the social sciences Part 1: The research process and data collectionChapter 1: The research process and data collectionRead the literature and identify gaps or ways to extend the literatureExamine the theoryDevelop your research questions and hypothesesDevelop your research methodAnalyze the dataWrite the research paperChapter 2: Sampling techniquesSample designSelecting a sampleSampling weightsChapter 3: Questionnaire designStructured and semi-structure questionnairesOpen- and closed-ended questionsGeneral guidelines for questionnaire designDesigning the questionsCollecting the response dataSkip patternsEthical issuesPart 2: Describing DataChapter 4: An Introduction to StataOpening Stata and Stata WindowsWorking with existing dataEntering your own data into StataUsing log files and saving your workGetting helpSummary of commands used in chapterChapter 5: Preparing and transforming your dataChecking for outliersCreating new variablesMissing values in StataSummary of commands used in chapterChapter 6: Descriptive statisticsTypes of variable and measurementDescriptive statistics for all types of variables -- frequency tables and modesDescriptive statistics for variables measured as ordinal, interval, and ratio scales -- median and percentilesDescriptive statistics for continuous variables -- mean, variance, standard deviation, and coefficient of variationDescriptive statistics for categorical variables measured on a nominal or ordinal scale -- cross tabulationApplying sampling weightsFormatting output for use in a document (Word, Google Docs, etc.)Graphs to describe dataSummary of code used in chapterPart 3: Testing HypothesesChapter 7: The Normal distributionThe normal distribution and standard scoresSampling distributions and standard errorsExamining the theory and identifying the research question and hypothesisTesting for statistical significanceRejecting or not rejecting the null hypothesisInterpreting the resultsCentral limit theoremPresenting the resultsSummary of commands used in chapterChapter 8: Testing a hypothesis about a single meanWhen to use the one-sample t testCalculating the one-sample t testConducting a one-sample t testInterpreting the outputPresenting the resultsSummary of commands used in chapterChapter 9: Testing a hypothesis about two meansWhen to use a two independent-samples t testCalculating the t statisticConducting a t testInterpreting the outputPresenting the resultsSummary of commands used in chapterChapter 10: Analysis of varianceWhen to use one-way analysis of varianceCalculating the F ratioConducting a one-way analysis of variance testInterpreting the outputIs one mean different or are all of them different?Presenting the resultsSummary of commands used in chapterChapter 11: Cross-tabulation and the chi-squared testWhen to use the chi-squared testCalculating the chi-squared testConducting a chi-squared testInterpreting the outputPresenting the resultsSummary of commands used in chapterPart 4: Exploring relationshipsChapter 12: Linear regression analysisWhen to use a regression analysisCorrelationSimple regression analysisMultiple regression analysisPresenting the resultsSummary of commands used in chapterChapter 13: Regression DiagnosticsMeasurement errorSpecification errorMulticollinearityHeteroskedasticityEndogeneityNon-normalityPresenting the resultsSummary of commands used in chapterChapter 14: Regression analysis with categorical dependent variablesWhen to use logit or probit analysisUnderstanding the logit modelRunning logit and interpreting the resultsLogit vs probit regression modelsRegression analysis with other types of categorical dependent variablesPresenting the resultsSummary of commands used in chapterChapter 15: Writing a research paperIntroduction section of a research paperLiterature reviewData and methodsResultsDiscussionConclusions