Atjaunināt sīkdatņu piekrišanu

E-grāmata: Introduction to Secondary Data Analysis with IBM SPSS Statistics

5.00/5 (1 ratings by Goodreads)
  • Formāts: 336 pages
  • Izdošanas datums: 05-Dec-2016
  • Izdevniecība: Sage Publications Ltd
  • Valoda: eng
  • ISBN-13: 9781473986954
Citas grāmatas par šo tēmu:
  • Formāts - PDF+DRM
  • Cena: 44,00 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Introduction to Secondary Data Analysis with IBM SPSS StatisticsPalielināt
  • Formāts: 336 pages
  • Izdošanas datums: 05-Dec-2016
  • Izdevniecība: Sage Publications Ltd
  • Valoda: eng
  • ISBN-13: 9781473986954
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that's needed to know about using secondary data and working with IBM SPSS Statistics

Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics.

You will learn how to:

  • Create a robust research question and design that suits secondary analysis
  • Locate, access and explore data online
  • Understand data documentation
  • Check and 'clean' secondary data
  • Manage and analyse your data to produce meaningful results
  • Replicate analyses of data in published articles and books

Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.



John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that’s needed to know about using secondary data and working with IBM SPSS Statistics

Recenzijas

For a generation we have been waiting for a really good introduction to secondary data analysis. This is it. -- Malcolm Williams A concise, compelling and engaging new text, this is a valuable addition to the bookshelves of anyone wanting to really get to grips with secondary data analysis. -- Alasdair Rae An excellent text that engages with the real-world practice of analysing existing quantitative data resources. The book covers the neglected issues of data documentation, data management, and replication that are central to effective research. -- Roxanne Connelly There are lots of books about statistics. But there are very few that tell students what they really need to know: how to acquire and manage data, and how to use them to answer questions relevant to their studies. This book fills the gap in a clearly written and user-friendly way, and is full of interesting and practical examples. It should be core reading. -- Richard Harris MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data. -- Michael Hout Accessibly written, this is a friendly and indispensable companion for any student embarking on a secondary data analysis project. A breath of fresh air. -- Luke Sloan

Companion Website viii
About the Author ix
Acknowledgements x
1 Secondary Data Analysis: The Evidence is Out There
1(10)
2 Understanding the Basics of Statistics
11(30)
3 Doing Secondary Data Analysis in Five Minutes
41(26)
4 Getting Started with SPSS
67(44)
5 Dealing with Data Documentation
111(24)
6 Replicating Published Analyses
135(26)
7 Preparing Your Data
161(32)
8 Managing and Manipulating Data
193(18)
9 Introducing Linear Regression
211(34)
10 Getting Started with Logistic Regression
245(20)
11 Using Binary Logistic Regression
265(36)
12 Practising Regression Skills with Replication
301(10)
13 A Look Back: How to Enjoy `An Avalanche of Numbers'
311(9)
References 320(1)
Index 321
From 2009 to 2014 John was the Strategic Advisor to the Economic and Social Research Council (ESRC) on quantitative methods training overseeing the genesis and launch of the Q-Step programme. From 2015 to 2020 he was Strategic Advisor to the British Academy on Quantitative skills and a member of the British Academys High Level Strategy group on Quantitative Skills. John is a Chartered Statistician and was Vice President (Professional Affairs) of the Royal Statistical Society 2019-20. He has held research grants from the European Commission, UK ESRC, British Academy, Leverhulme trust and British, Spanish and Catalan government departments.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97814739869542e.html
Keywords: