jamovi for Data Analysis - Full Tutorial

jamovi for Data Analysis - Full Tutorial

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) Exploratory factor analysis

54 of 56

54 of 56

) Exploratory factor analysis

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jamovi for Data Analysis - Full Tutorial

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  1. 1 ) Welcome
  2. 2 ) Installing jamovi
  3. 3 ) Navigating jamovi
  4. 4 ) Sample data
  5. 5 ) Sharing files
  6. 6 ) Sharing with OSF.io
  7. 7 ) jamovi modules
  8. 8 ) The jmv package for R
  9. 9 ) Wrangling data: chapter overview
  10. 10 ) Entering data
  11. 11 ) Importing data
  12. 12 ) Variable types & labels
  13. 13 ) Computing means
  14. 14 ) Computing z-scores
  15. 15 ) Transforming scores to categories
  16. 16 ) Filtering cases
  17. 17 ) Exploration: chapter overview
  18. 18 ) Descriptive statistics
  19. 19 ) Histograms
  20. 20 ) Density plots
  21. 21 ) Box plots
  22. 22 ) Violin plots
  23. 23 ) Dot plots
  24. 24 ) Bar plots
  25. 25 ) Exporting tables & plots
  26. 26 ) t-tests: chapter overview
  27. 27 ) Independent-samples t-test
  28. 28 ) Paired-samples t-test
  29. 29 ) One-sample t-test
  30. 30 ) ANOVA: chapter overview
  31. 31 ) ANOVA
  32. 32 ) Repeated-measures ANOVA
  33. 33 ) ANCOVA
  34. 34 ) MANCOVA
  35. 35 ) Kruskal-Wallis test
  36. 36 ) Friedman test
  37. 37 ) Regression: chapter overview
  38. 38 ) Correlation matrix
  39. 39 ) Linear regression
  40. 40 ) Variable entry
  41. 41 ) Regression diagnostics
  42. 42 ) Binomial logistic regression
  43. 43 ) Multinomial logistic regression
  44. 44 ) Ordinal logistic regression
  45. 45 ) Frequencies: chapter overview
  46. 46 ) Binomial test
  47. 47 ) Chi-squared goodness-of-fit
  48. 48 ) Chi-squared test of association
  49. 49 ) McNemar test
  50. 50 ) Log-linear regression
  51. 51 ) Factor: chapter overview
  52. 52 ) Reliability analysis
  53. 53 ) Principal component analysis
  54. 54 ) Exploratory factor analysis
  55. 55 ) Confirmatory factor analysis
  56. 56 ) Next steps

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