Stata Survival Manual

Häftad, Engelska, 2009

481 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

Beskrivning

Where do I start?
How do I know if I’m asking the right questions?
How do I analyze the data once I have it?
How do I report the results?
When will I ever understand the process?

If you are new to using the Stata software, and concerned about applying it to a project, help is at hand. David Pevalin and Karen Robson offer you a step by step introduction to the basics of the software, before gently helping you develop a more sophisticated understanding of Stata and its capabilities.

The book will guide you through the research process offering further reading where more complex decisions need to be made and giving 'real world' examples from a wide range of disciplines and anecdotes that clarify issues for readers. The book will help with:

Manipulating and organizing data
Generating statistics
Interpreting results
Presenting outputs

The Stata Survival Manual is a lifesaver for both students and professionals who are using the Stata software!

Produktinformation

Utgivningsdatum:2009-07-16
Mått:190 x 241 x 25 mm
Vikt:671 g
Format:Häftad
Språk:Engelska
Antal sidor:392
Förlag:McGraw-Hill Education
ISBN:9780335223886

Utforska kategorier

Sociologi inom Samhälle och politik
Affärsapplikationer inom Data och IT

Mer om författaren

David Pevalin is Senior Lecturer in the School of Health and Human Sciences at the University of Essex, UK. He conducts research into the social influences on health and has authored a number of journal articles and reports.Karen Robson is Assistant Professor in the Department of Sociology at York University, Toronto, Canada. She does research on a wide range of topics pertaining to young people. She has written a number of journal articles on young people and has also co-authored a research methods textbook.

Innehållsförteckning

IntroductionAbout the authors AcknowledgementsGetting started with StataData in and out of StataManipulating variablesManipulating data Descriptive statistics and graphsTables and correlationsDifferences in means, medians and proportionsRegressionPresenting your resultsReferencesIndex