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Course curriculum

    1. Course Handouts & References

    2. Session 1: Review Linear Regression Analysis

    3. Session 2: Introduction to Path Analysis & Mediation

    4. Session 3: Path Analysis in JASP (via SEM)

    5. Session 4: Path Analysis in JASP (via Process)

    6. Session 5: Path Analysis in jamovi (via medmod)

    7. Session 6: Path Analysis in jamovi (via SEM pathj)

    8. Session 7: Path Analysis using lavaangui

    1. Session 1: Introduction to CFA

    2. Session 2: Model Identification

    3. Session 3: Model Fit Assessment

    4. Session 4: CFA in JASP

    5. Session 5: CFA in jamovi

    6. Session 6: CFA using lavaangui

    7. Session 7: Multigroup CFA & Measurement Invariance

    8. Session 8: Multigroup CFA & Measurement Invariance in JASP

    9. Session 9: Multigroup CFA & Measurement Invariance in jamovi

    10. Session 10: Latent Growth Curve Models

    11. Session 11: Latent Growth Curve Models in JASP

    12. Session 12: Latent Growth Curve Models using lavaangui

    1. Session 1: Introduction to SEM

    2. Session 2: SEM in jamovi

    3. Session 3: SEM in JASP

    4. Session 4: SEM with lavaangui

    5. Session 5: Are SEMs Causal Models?

    6. Session 6: Introduction to Longitudinal SEM

    7. Session 7: Non-Normal & Ordinal Data in SEM

    8. Session 8: Sample-Size Planning

    9. Session 9: Troubleshooting

    10. Session 10: Reporting Results

    11. Session 11: Advantages & Limitations of SEM

About this course

  • Free
  • 31 lessons
  • 6.5 hours of video content