An introduction to statistics and data analysis using Stata : from research design to final report /: from research design to final report. (2019)

• Record Type: Book
• Further Information: Note: Lisa Daniels, Nicholas Minot.
• Authors: Daniels, Lisa; Minot, Nicholas W
• Contents: Part 1: The research process and data collection; Chapter 1: The research process and data collection; Read the literature and identify gaps or ways to extend the literature; Examine the theory; Develop your research questions and hypotheses; Develop your research method; Analyze the data; Write the research paper; Chapter 2: Sampling techniques; Sample design; Selecting a sample; Sampling weights; Chapter 3: Questionnaire design; Structured and semi-structure questionnaires; Open- and closed-ended questions; General guidelines for questionnaire design; Designing the questions; Collecting the response data; Skip patterns; Ethical issues; Part 2: Describing Data; Chapter 4: An Introduction to Stata; Opening Stata and Stata Windows; Working with existing data; Entering your own data into Stata; Using log files and saving your work; Getting help; Summary of commands used in chapter; Chapter 5: Preparing and transforming your data; Checking for outliers; Creating new variables; Missing values in Stata; Summary of commands used in chapter; Chapter 6: Descriptive statistics; Types of variable and measurement; Descriptive statistics for all types of variables -- frequency tables and modes; Descriptive statistics for variables measured as ordinal, interval, and ratio scales -- median and percentiles; Descriptive statistics for continuous variables -- mean, variance, standard deviation, and coefficient of variation; Descriptive statistics for categorical variables measured on a nominal or ordinal scale -- cross tabulation; Applying sampling weights; Formatting output for use in a document (Word, Google Docs, etc.); Graphs to describe data; Summary of code used in chapter; Part 3: Testing Hypotheses; Chapter 7: The Normal distribution; The normal distribution and standard scores; Sampling distributions and standard errors; Examining the theory and identifying the research question and hypothesis; Testing for statistical significance; Rejecting or not rejecting the null hypothesis; Interpreting the results; Central limit theorem; Presenting the results; Summary of commands used in chapter; Chapter 8: Testing a hypothesis about a single mean; When to use the one-sample t test; Calculating the one-sample t test; Conducting a one-sample t test; Interpreting the output; Presenting the results; Summary of commands used in chapter; Chapter 9: Testing a hypothesis about two means; When to use a two independent-samples t test; Calculating the t statistic; Conducting a t test; Interpreting the output; Presenting the results; Summary of commands used in chapter; Chapter 10: Analysis of variance; When to use one-way analysis of variance; Calculating the F ratio; Conducting a one-way analysis of variance test; Interpreting the output; Is one mean different or are all of them different?; Presenting the results; Summary of commands used in chapter; Chapter 11: Cross-tabulation and the chi-squared test; When to use the chi-squared test; Calculating the chi-squared test; Conducting a chi-squared test; Interpreting the output; Presenting the results; Summary of commands used in chapter; Part 4: Exploring relationships; Chapter 12: Linear regression analysis; When to use a regression analysis; Correlation; Simple regression analysis; Multiple regression analysis; Presenting the results; Summary of commands used in chapter; Chapter 13: Regression Diagnostics; Measurement error; Specification error; Multicollinearity; Heteroskedasticity; Endogeneity; Non-normality; Presenting the results; Summary of commands used in chapter; Chapter 14: Regression analysis with categorical dependent variables; When to use logit or probit analysis; Understanding the logit model; Running logit and interpreting the results; Logit vs probit regression models; Regression analysis with other types of categorical dependent variables; Presenting the results; Summary of commands used in chapter; Chapter 15: Writing a research paper; Introduction section of a research paper; Literature review; Data and methods; Results; Discussion; Conclusions;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 005.55; Social sciences -- Statistical methods -- Computer programs; Quantitative research -- Computer programs
• Languages: English
• ISBNs: 9781506371818
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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