This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away.
The second edition of An Introduction to Statistics and Data Analysis Using Stata (R): From Research Design to Final Report provides an integrated approach to methods, statistics, data analysis, and interpretation of results. The book features examples from social science research and news articles along with concise descriptions of statistics.
Providing information from data preparation and mean, median and mode, to regression, Lisa Daniels and Nicholas Minot use concise descriptions to help students understand the concepts behind statistics rather than the derivations of the formulas. Examples within the text come from criminal justice, economics, political science, psychology, public health and sociology, in addition to news articles on social science research. The book also includes three introductory chapters on research and a final chapter for writing up results and presenting data analyses.
This book describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data and provides guidelines that are useful in evaluating polls. Using examples from contemporary large surveys and polls, as well as from the media, the authors stress the importance of understanding tables thoroughly before moving to interval statistics. In addition, they cover: the design of surveys; the steps for sampling and question writing; interviewing and coding strategies; survey analysis from frequency distributions and cross-tabulations through to control tables and correlation/regression; the ethics of survey research; and how to read and write reports of survey research.
This book describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data and provides guidelines that are useful in evaluating polls. Using examples from contemporary large surveys and polls, as well as from the media, the authors stress the importance of understanding tables thoroughly before moving to interval statistics. In addition, they cover: the design of surveys; the steps for sampling and question writing; interviewing and coding strategies; survey analysis from frequency distributions and cross-tabulations through to control tables and correlation/regression; the ethics of survey research; and how to read and write reports of survey research.
This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.
"The book is well written and the theorists and their respective work are well-presented and clearly explained. . . . As a text dealing with the historical overview of major theorists and their work in human development over the last century or so, it is extremely strong and could be widely used in a variety of both undergraduate and graduate ......
This Second Edition appeals to contemporary users of SPSS by updating the references to the software which has evolved to version 12.0 from the older version 7.5. An Introductory Guide to SPSS for Windows covers the following critical basic skills: how to create data sets by defining and coding data, using a codebook and entering data; how to run SPSS and work with different SPSS files; how to manipulate data by recoding values, computing values, and selecting subsets of cases to include in an analysis; how to manage data files by reading data that have been entered using other software, appending files and merging files; how to analyze data using SPSS pull-down menus; and how to analyze data using programs written in SPSS syntax.
