Efnisyfirlit

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• Preface
• Chapter 1 Introduction
  • What is Structural Equation Modeling?
  • Notation and Terminology
  • History of Structural Equation Modeling
  • Why Conduct Structural Equation Modeling?
  • Brief Consideration of Causality in SEM
  • Structural Equation Modeling Software
    • AMOS (SPSS)
    • CALIS Procedure (in SAS)
    • EQS: Stand-alone Software
    • JMP: Stand-alone Software / SAS Interface
    • LISREL: Stand-alone Software
    • Mplus: Stand-alone Software
    • OpenMx: Stand-alone Software (Free); R Interface
    • R: Stand-alone Software (Free)
    • SEM (in STATA)
    • SEPATH (in Statistica)
  • Software Considerations
  • Book Website
  • Summary
  • Exercises
  • References
• Chapter 2 Data Entry and Editing Issues
  • Data Set Formats
  • Data Editing Issues
    • Measurement Scale
    • Restriction of Range
    • Outliers
    • Normality
    • Linearity
    • Missing Data
  • Summary
  • Exercises
  • References
• Chapter 3 Correlation and Regression Methods
  • Types of Correlation Coefficients
  • Factors Affecting Correlation Coefficients
    • Non-linearity
    • Missing Data
    • Level of Measurement and Restriction of Range
    • Non-normality
  • Outliers
  • Simple Linear Regression
  • Multiple Linear Regression
  • Bivariate, Part, and Partial Correlations in Multiple Regression
  • Multicollinearity and Suppressor Variables
  • Correlation Versus Covariance
  • Variable Metrics (Standardized Versus Unstandardized)
  • Correction for Attenuation
  • Multiple Regression Example
  • Summary
  • Chapter Footnote
    • Regression Model with Intercept Term
  • Exercises
  • References
• Chapter 4 Path Models
  • Path Model Diagrams
  • Decomposition of the Correlation Matrix
  • Decomposition for Unstandardized Path Models
  • Path Model Example
  • Indirect Effects
  • Causation Assumptions and Limitations
  • Summary
  • Exercises
  • References
• Chapter 5 SEM Basics
  • SEM Modeling Steps
    • Model Specification
    • Model Identification
    • Model Estimation
    • Model Testing
    • Model Modification/Re-specification
  • Model Estimation
  • Model Testing
    • Model Fit
      • Chi-square (χ2)
      • Model Fit Indices
    • Parameter Fit
    • Model Comparison
  • Model Modification and Re-specification
    • Modification Indices
    • Expected Parameter Change
      • MIs and EPCs in LISREL and Mplus
  • Summary
  • Exercises
  • Chapter Footnote
    • Chi-squares
  • References
• Chapter 6 Factor Analysis
  • Exploratory Factor Analysis
    • Sample Size
    • Number of Factors
    • Rotation Methods
    • Factor Scores
    • EFA Versus PCA
  • EFA Example
  • Pattern and Structure Matrices
  • Confirmatory Factor Analysis
  • CFA Example
  • CFA with Missing Continuous Data
  • CFA Caveats
  • CFA with Missing Ordinal Indicators
  • CFA Model Comparisons
  • Summary
  • Exercises
  • References
• Chapter 7 Full SEM
  • Full Structural Equation Models
  • Model Specification in Full SEM
  • Model Identification
  • Two-step Versus Four-step SEM Model Testing
  • Model Estimation
  • Model Testing and Model Modification
  • Indirect Effects in Full SEM Models
  • Summary
  • Exercises
  • References
• Chapter 8 Extensions of CFA Models
  • Second-order Factor Model
    • Model Specification
    • Model Identification
    • Model Estimation
    • Model Testing and Model Modification
    • Model Interpretation
  • Bifactor Model
    • Model Specification
    • Model Identification
    • Model Estimation
    • Model Testing and Model Modification
    • Model Interpretation
  • Model Comparisons Between the Second-order and Bifactor Models
  • Summary
  • Exercises
  • References
• Chapter 9 Multiple Group (Sample) Models
  • Brief Summary of Multiple Group Modeling
  • Multiple Group Path Analysis Model
    • Model Identification in Separate Groups
    • Model Estimation in Separate Groups
    • Model Testing in Separate Groups
    • Model Identification of the Baseline Multiple Group Model – With No Equality Constraints
    • Model Estimation of the Baseline Multiple Group Model – With No Equality Constraints
    • Model Testing of the Baseline Multiple Group Model – With No Equality Constraints
    • Model Identification of the Multiple Group Model – With Equality Constraints
    • Model Estimation of the Multiple Group Model – With Equality Constraints
    • Model Testing and Modification of the Multiple Group Model – With Equality Constraints
    • Final Model Interpretation
  • Multiple Group CFA/Measurement Model
    • Measurement Invariance
    • Multiple Group CFA Example
      • Model Identification in Separate Groups
      • Model Estimation in Separate Groups
      • Model Testing in Separate Groups
      • Model Identification of the Configural Multiple Group CFA Model – With No Equality Constraints
      • Model Estimation of the Configural Multiple Group CFA Model – With No Equality Constraints
      • Model Testing of the Configural Multiple Group CFA Model – With No Equality Constraints
      • Model Identification of the Metric Multiple Group CFA Model
      • Model Estimation of the Metric Multiple Group CFA Model
      • Model Testing and Modification of the Metric Multiple Group CFA Model
      • Model Identification of the Strong/Scalar Multiple Group CFA Model
      • Model Estimation of the Scalar Multiple Group CFA Model
      • Model Testing and Modification of the Scalar Multiple Group CFA Model
      • Final Model Interpretation
  • Strict Invariance Testing
  • Structural Model Group Differences
  • Multiple Group Models with Ordinal Indicators
  • Cautions about Invariance Testing
  • Summary
  • Exercises
  • References
• Chapter 10 SEM Considerations
  • Best Practices in SEM
  • Checklist for SEM
    • Basic Issues
    • Analysis Issues
  • Model Specification
  • Model Identification
  • Data Preparation
  • Model Estimation
  • Model Testing
  • Model Modification/Re-specification
  • Non-recursive Models
  • Equivalent Models
  • Summary
  • References
• Introduction to Matrix Operations
• Statistical Tables
• Name Index
• Subject Index

UM RAFBÆKUR Á HEIMKAUP.IS

Bókahillan þín er þitt svæði og þar eru bækurnar þínar geymdar. Þú kemst í bókahilluna þína hvar og hvenær sem er í tölvu eða snjalltæki. Einfalt og þægilegt!

Rafbók til eignar
Rafbók til eignar þarf að hlaða niður á þau tæki sem þú vilt nota innan eins árs frá því bókin er keypt.

Þú kemst í bækurnar hvar sem er
Þú getur nálgast allar raf(skóla)bækurnar þínar á einu augabragði, hvar og hvenær sem er í bókahillunni þinni. Engin taska, enginn kyndill og ekkert vesen (hvað þá yfirvigt).

Auðvelt að fletta og leita
Þú getur flakkað milli síðna og kafla eins og þér hentar best og farið beint í ákveðna kafla úr efnisyfirlitinu. Í leitinni finnur þú orð, kafla eða síður í einum smelli.

Glósur og yfirstrikanir
Þú getur auðkennt textabrot með mismunandi litum og skrifað glósur að vild í rafbókina. Þú getur jafnvel séð glósur og yfirstrikanir hjá bekkjarsystkinum og kennara ef þeir leyfa það. Allt á einum stað.

Hvað viltu sjá? / Þú ræður hvernig síðan lítur út
Þú lagar síðuna að þínum þörfum. Stækkaðu eða minnkaðu myndir og texta með multi-level zoom til að sjá síðuna eins og þér hentar best í þínu námi.



Fleiri góðir kostir
- Þú getur prentað síður úr bókinni (innan þeirra marka sem útgefandinn setur)
- Möguleiki á tengingu við annað stafrænt og gagnvirkt efni, svo sem myndbönd eða spurningar úr efninu
- Auðvelt að afrita og líma efni/texta fyrir t.d. heimaverkefni eða ritgerðir
- Styður tækni sem hjálpar nemendum með sjón- eða heyrnarskerðingu