• Produktbild: Multilevel Modeling in Plain Language
  • Produktbild: Multilevel Modeling in Plain Language

Multilevel Modeling in Plain Language

33,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.11.2015

Verlag

Sage Publications

Seitenzahl

160

Maße (L/B/H)

24,4/17/0,9 cm

Gewicht

289 g

Sprache

Englisch

ISBN

978-0-85702-916-4

Beschreibung

Rezension

I started to read the book with vivid interest because of the subject that too often does not find enough space in books which provide an overview of the most used statistical methods  leaving out those who are somewhat a little bit more elaborate. After a while I found that I had read many pages, as a story, in a short time, and, rethinking to the title of the book, I remembered there was a part saying . In plain language . This is really genuine.

The Authors do really introduce the subject in a very friendly way, propose examples which facilitate the reader to better  understand and explain the output of Stata.  I suggest the book both to students and instructors who want a specific text on this subject. On the one hand, students will be not afraid of formula, considering that the book is centred on the understanding of the subjects, on the other hand, instructors will benefit in reviewing the path of the multilevel analysis very quickly.

It is a book for those who have some knowledge of statistic but I think that this aspect is definitely clear to the reader. The book is really complete in all the phases of a multilevel analysis, the plain approach helps the reader to grasp the idea,  follow the Stata commands and outputs and, finally, to interpret the findings. I think that the Authors were very skillful in preparing this book and added a very useful resource, in particular, for those who use Stata for their analysis.

Dr. Gabriele Messina

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.11.2015

Verlag

Sage Publications

Seitenzahl

160

Maße (L/B/H)

24,4/17/0,9 cm

Gewicht

289 g

Sprache

Englisch

ISBN

978-0-85702-916-4

EU-Ansprechpartner

Kolibri 360 GmbH
Ettore-Bugatti-Straße 6-14
51149 Köln
DE
produktsicherheit@kolibri360.de

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road
EC1Y 1SP London
GB
orders@sagepub.co.uk

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Die Leseprobe wird geladen.
  • Produktbild: Multilevel Modeling in Plain Language
  • Produktbild: Multilevel Modeling in Plain Language
  • Chapter 1: What Is Multilevel Modeling and Why Should I Use It?
    Mixing levels of analysis
    Theoretical reasons for multilevel modeling
    What are the advantages of using multilevel models?
    Statistical reasons for multilevel modeling
    Assumptions of OLS
    Software
    How this book is organized
    Chapter 2: Random Intercept Models: When intercepts vary
    A review of single-level regression
    Nesting structures in our data
    Getting starting with random intercept models
    What do our findings mean so far?
    Changing the grouping to schools
    Adding Level 1 explanatory variables
    Adding Level 2 explanatory variables
    Group mean centring
    Interactions
    Model fit
    What about R-squared?
    R-squared?
    A further assumption and a short note on random and fixed effects
    Chapter 3: Random Coefficient Models: When intercepts and coefficients vary
    Getting started with random coefficient models
    Trying a different random coefficient
    Shrinkage
    Fanning in and fanning out
    Examining the variances
    A dichotomous variable as a random coefficient
    More than one random coefficient
    A note on parsimony and fitting a model with multiple random coefficients
    A model with one random and one fixed coefficient
    Adding Level 2 variables
    Residual diagnostics
    First steps in model-building
    Some tasters of further extensions to our basic models
    Where to next?
    Chapter 4: Communicating Results to a Wider Audience
    Creating journal-formatted tables
    The fixed part of the model
    The importance of the null model
    Centring variables
    Stata commands to make table-making easier
    What do you talk about?
    Models with random coefficients
    What about graphs?
    Cross-level interactions
    Parting words