Index

  1. abbreviations
  2. advanced topics in SEM-based meta-analysis
    1. illustrations using R
    2. moderators, missing values
    3. restricted maximum likelihood estimation (REML)
  3. Akaike information criterion (AIC)
  4. analysis of covariance (ANCOVA)
  5. analysis of variance (ANOVA)
  6. average population effect, random-effects model
  7. averaged effect sizes models

 

  1. Bayesian information criterion (BIC)
  2. BCG vaccine for preventing tuberculosis
    1. effect sizes
    2. multivariate meta-analysis
    3. plotting the figures
    4. random-effects model
  3. BIC see Bayesian information criterion
  4. Big Five model
    1. confirmatory factor analysis (CFA)
    2. meta-analytic structural equation modeling (MASEM)
  5. binary variables
    1. effect sizes
    2. odds ratio (OR)
    3. proportion

 

  1. CFA see confirmatory factor analysis
  2. CFI see comparative fit index
  3. CIs see confidence intervals
  4. common effects model, fixed-effects model
  5. comparative fit index (CFI)
  6. confidence intervals (CIs)
    1. likelihood-based confidence intervals (LBCIs)
    2. Wald confidence intervals (Wald CIs)
  7. confirmatory factor analysis (CFA)
    1. Big Five model
    2. illustrations using R
    3. meta-analytic structural equation modeling (MASEM)
  8. conflicting research findings, meta-analytic structural equation modeling (MASEM), for solution of
  9. correlation coefficient
    1. effect sizes
    2. vs. Fisher's z score
    3. Fisher's z transformation
  10. correlation matrix
    1. vs. covariance matrix, meta-analytic structural equation modeling (MASEM)
    2. effect sizes
    3. Fisher's z transformation
    4. illustrations using R
    5. structural equation modeling (SEM)
  11. correlation ...

Get Meta-Analysis: A Structural Equation Modeling Approach now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.