Cantitate/Preț
Produs
Total produse
Vezi coșul
Multilevel Modeling de Douglas A. Luke

Multilevel Modeling: Quantitative Applications in the Social Sciences, cartea 143

Autor Douglas A. Luke
en Limba Engleză Electronic book text – 26 dec 2019
Multilevel Modelingis a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, theSecond Editionexpands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
Citește tot Restrânge

Din seria Quantitative Applications in the Social Sciences

  • Exploring Rating Scale Functioning for Survey Research
    Preț: 37254 lei
  • Social Network Analysis
    Preț: 37229 lei
  • Approaches to Mixed Methods Research
    Preț: 36650 lei
  • Rasch Models for Solving Measurement Problems
    Preț: 37120 lei
  • Ethnographic Free-List Data
    Preț: 36772 lei
  • Multidimensional Item Response Theory
    Preț: 37146 lei
  • Gathering Social Network Data
    Preț: 37149 lei
  • Modeling Nonlinearity and Interaction in Regression Analysis Using Spline Variables
    Preț: 36751 lei
  • Factorial Survey Experiments
    Preț: 31949 lei
  • Exploratory Factor Analysis
    Preț: 37116 lei
  • Multilevel Modeling
    Preț: 37123 lei
  • Generalized Linear Models for Bounded and Limited Quantitative Variables
    Preț: 30969 lei
  • Sequence Analysis
    Preț: 37247 lei
  • Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
    Preț: 33787 lei
  • Introduction to the Laws of Statistical Sampling
    Preț: 33966 lei
  • Causal Analysis with Panel Data
    Preț: 34140 lei
  • Logistic Regression: A Primer
    Preț: 37104 lei
  • Generalized Linear Models: A Unified Approach
    Preț: 37134 lei
  • Factor Analysis: Statistical Methods and Practical Issues
    Preț: 34119 lei
  • Spatial Regression Models
    Preț: 36598 lei
  • Introduction to the Comparative Method With Boolean Algebra
    Preț: 34182 lei
  • A Mathematical Primer for Social Statistics
    Preț: 37223 lei
  • Fractal Analysis
    Preț: 34151 lei
  • Introduction to Time Series Analysis
    Preț: 34311 lei
  • Multilevel Structural Equation Modeling
    Preț: 37104 lei
  • Argument-Based Validation in Testing and Assessment
    Preț: 37128 lei
  • Using Time Series to Analyze Long-Range Fractal Patterns
    Preț: 37045 lei
  • Understanding Correlation Matrices
    Preț: 37045 lei
  • Analyzing Textual Information: From Words to Meanings through Numbers
    Preț: 36687 lei
  • Research Designs
    Preț: 34116 lei
  • Test Item Bias
    Preț: 33555 lei
  • Introduction to Survey Sampling
    Preț: 37164 lei
  • Linear Probability, Logit, and Probit Models
    Preț: 34136 lei
  • Randomized Response and Related Methods: Surveying Sensitive Data
    Preț: 37169 lei
  • Regression Diagnostics: An Introduction
    Preț: 37098 lei
  • Time Series Analysis: Regression Techniques
    Preț: 34136 lei
  • Understanding Regression Assumptions
    Preț: 34146 lei
  • Maximum Likelihood Estimation: Logic and Practice
    Preț: 34136 lei
  • Propensity Score Methods and Applications
    Preț: 17573 lei
  • Leonardi, G: Recurrence-Based Analyses
    Preț: 36667 lei
  • nou Analysis of Variance
    Preț: 11420 lei
  • nou Ecological Inference
    Preț: 11420 lei
  • nou Multivariate Tests for Time Series Models
    Preț: 11420 lei
  • nou Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
    Preț: 11420 lei
  • nou Typologies and Taxonomies: An Introduction to Classification Techniques
    Preț: 11420 lei
  • Data Analysis: An Introduction
    Preț: 11420 lei
  • Multiple Attribute Decision Making: An Introduction
    Preț: 17573 lei
  • nou Applied Logistic Regression Analysis
    Preț: 11420 lei
  • nou Chaos and Catastrophe Theories
    Preț: 11420 lei

Preț: 17573 lei

Puncte Express: 264
Preț estimativ în valută:
2848€ • 3274$ • 2473£

Indisponibil temporar


Wish list
Gift list
Adaugă în listă
Doresc să fiu notificat când acest titlu va fi disponibil:
Trimite

Specificații

ISBN-13: 9781544310312
ISBN-10: 1544310315
Pagini: 128
Dimensiuni: 140 x 216 mm
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Recenzii

With growing statistical software package costs, more researchers are using R than ever before. This book allows researchers to do more when using R.

The book offers insights and explanations from which both newcomers and seasoned experts can find benefit.

Because of the author’s pedagogically masterful presentation of multi-level modeling, the otherwise challenging journey to this topic now becomes not only smooth but also enjoyable.

This is a very well-written and organized book. The author uses practical examples to help the readers understand the reasoning and steps of a complex statistical approach. I have used the first edition of this book in my class, and definitely plan on using the second edition too. This is a book that I would highly recommend to clinical researchers who are interested in learning multilevel modeling.

Multilevel Modeling provides a thorough and accessible introduction to multilevel models. Through extensive examples, the author expertly guides the reader through the material addressing interpretation, graphical presentation, and diagnostics along the way.

The new second edition is even better than the first. The models presented are closely linked to an extended example that students can readily identify with. 

Cuprins

Series Editor's Introduction
About the Author
Preface
1. The Need for Multilevel Modeling
Background and Rationale
Theoretical Reasons for Multilevel Models
Statistical Reasons for Multilevel Models
Scope of Book
Online Book Resources
2. Planning a Multilevel Model
The Basic Two-Level Multilevel Model
The Importance of Random Effects
Classifying Multilevel Models
3. Building a Multilevel Model
Introduction to Tobacco Voting Data Set
Assessing the Need for a Multilevel Model
Model-building Strategies
Estimation
Level-2 Predictors and Cross-Level Interactions
Hypothesis Testing
4. Assessing a Multilevel Model
Assessing Model Fit and Performance
Estimating Posterior Means
Centering
Power Analysis
5. Extending the Basic Model
The Flexibility of the Mixed-Effects Model
Generalized Models
Three-level Models
Cross-classified Models
6. Longitudinal Models
Longitudinal Data as Hierarchical: Time Nested Within Person
Intra-individual Change
Inter-individual Change
Alternative Covariance Structures
7.Guidance
Recommendations for Presenting Results
Useful Resources
References

Descriere

Multilevel Modelingis a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, theSecond Editionexpands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.