Structural Equation Modeling eBook de David W. Kaplan - EPUB

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Idioma:English
ISBN:9781483342597
Fecha de lanzamiento:20 mar 2015
Editorial:SAGE Publications

Edición:SAGE Publications, Inc
Formato de archivo:EPUB2
Tamaño de archivo:5.38 MB
Opciones de descarga:EPUB2 (Adobe DRM)

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Structural Equation Modeling

¿Por qué leer con nosotros?

Sinopsis

Acerca de este libro

Detalles del libro

Cómo leer

Lecturas relacionadas

The Oxford Guide to Library Research

100 Activities for Teaching Research Methods

Feminist Research Practice

Multimethod Research, Causal Mechanisms, and Case Studies

First Person Action Research

Constructing Survey Data

Appreciative Inquiry

Understanding and Using Advanced Statistics

Research Ethics and Integrity for Social Scientists

Focus Groups

Analyzing and Reporting Focus Group Results

Researching Organizations

The Essential Guide to Using the Web for Research

Analyzing Qualitative Data

The SAGE Dictionary of Social Research Methods

Non-Representational Methodologies

Strategies for Interpreting Qualitative Data

Interactive Evaluation Practice

Visual Research Methods

The Anatomy of the Case Study

Measurement Made Accessible

Interpreting Quantitative Data with IBM SPSS Statistics

Using Propensity Scores in Quasi-Experimental Designs

Diary Method

Introducing Social Networks

The SAGE Handbook of Digital Technology Research

Social Science Research Ethics for a Globalizing World

Assessing Inequality

Making Meaning of Narratives

Basics of Structural Equation Modeling

Finding History

Sampling and Choosing Cases in Qualitative Research

Participatory Research with Children and Young People

Nonsampling Error in Social Surveys

Dynamic Modeling and Applications for Global Economic Analysis

Understanding Case Study Research

Ver más por autor

The SAGE Handbook of Quantitative Methodology for the Social Sciences

¿Te ha gustado el libro?

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Lecturas relacionadas

The Oxford Guide to Library Research

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The SAGE Dictionary of Social Research Methods

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Strategies for Interpreting Qualitative Data

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Using Propensity Scores in Quasi-Experimental Designs

Diary Method

Introducing Social Networks