Samenvatting van Introduction to Developmental Psychology van Slater & Bremner

Samenvattingen en studiehulp

Inhoudsopgave

  • What are variables, variation and co-variation? - Chapter 1
  • How can we make inferences about a mean? - Chapter 2
  • How can we make inferences about proportions? - Chapter 3
  • What does linear modelling entail? - Chapter 4
  • How can we make inferences about linear models? - Chapter 5
  • What are categorical predictor variables? - Chapter 6
  • What are the assumptions of linear models? - Chapter 7
  • What should we do when the assumptions are not met? - Chapter 8
  • What does moderation entail? - Chapter 9
  • How do researchers use contrast in statistical analysis? - Chapter 10
  • How do we perform post hoc comparisons? - Chapter 11
  • How do we perform linear mixed modelling? - Chapter 12
  • How do we conduct linear mixed models for more than two measurements? - Chapter 13
  • What are non-parametric alternatives for linear mixed models? - Chapter 14
  • How is logistic regression conducted with generalised linear models? - Chapter 15
  • How can generalised linear models be used for count data? - Chapter 16
  • What does big data analytics entail? - Chapter 17

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