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Longitudinal Structural Equation Modeling – Dr. Le Zhou

Research Methods Education Program (RMEP) Advanced Research Methods: Structural Equation Methods Collection Longitudinal Structural Equation Modeling – Dr. Le Zhou

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Question 1 of 15

1. Question
What is the main difference between intensive longitudinal data and panel data?
- Sample size is larger in intensive longitudinal data
- Number of time points used in intensive longitudinal data is larger
- Number of time points used in panel data is larger
- Sample size is larger in panel data
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Question 2 of 15

2. Question
What is the limitation of panel data compared with intensive longitudinal data?
- Using panel data we may miss meaningful fluctuations.
- Using panel data we will have lower internal validity.
- We will not be able to detect trends using panel data.
- We will not be able to detect growth using panel data.
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Question 3 of 15

3. Question
Which of the following methods can be used to obtain intensive longitudinal data?
- Experience sampling methods.
- Data from digital traces.
- Continuous rating assessments.
- All of the above.
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Question 4 of 15

4. Question
Which of the following is not a feature of intensive longitudinal data?
- Trend
- Cycle
- Single subject design
- Autocorrelation
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Question 5 of 15

5. Question
Which of the following represents carry-over effects?
- Trend
- Autocorrelation
- Season
- Between subject differences
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Question 6 of 15

6. Question
What is a useful method for analyzing trends in panel data?
- Latent growth model.
- Cross-lagged model.
- Profile analysis.
- None of the above
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Question 7 of 15

7. Question
How are cross-lagged models commonly used when analyzing panel data?
- To detect trends.
- To analyze cycles.
- To analyze within subject differences.
- To analyze autocorrelations.
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Question 8 of 15

8. Question
What does AR(1) model analyze?
- What are the between-subject differences in trends?
- What are the between-subject differences in cycles?
- What is the effect of an external shock on people's experiences?
- How does our experience in one time point earlier affect our current experience?
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Question 9 of 15

9. Question
What will be a likely bias in our results if we apply multilevel modeling to intensive longitudinal data?
- Nickell's bias.
- Missing data bias.
- Bias in model estimation.
- Bias in model specification.
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Question 10 of 15

10. Question
What advantages does using a Bayesian approach bring to DSEM?
- Ability to detect cycles.
- Computational efficiency and incorporating existing information.
- Ability to incorporate latent categorical variables.
- Ability to account for time-varying effects.
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Question 11 of 15

11. Question
How can we model cycles in intensive longitudinal data using DSEM?
- We can use SIN and COS functions.
- We can use a cross-classified model.
- We can use dummy variables to indicate parts of the cycle.
- Both A and C.
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Question 12 of 15

12. Question
What is the main difference between Bayesian approach and traditional statistical approaches?
- In traditional approaches parameters are not fixed.
- In Bayesian approach parameters are not known, but in traditional approaches they are.
- In Bayesian approach parameters are not fixed.
- In traditional approaches parameters are not known, but in Bayesian approach they are.
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Question 13 of 15

13. Question
Which of the following is an indicator of model fit in DSEM?
- Potential scale reduction factor.
- Deviance information criterion.
- ACF and PASF plots
- All of the above.
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Question 14 of 15

14. Question
Which centering method is superior to others in DSEM?
- Observed cluster mean centering
- Latent cluster mean centering
- Grand mean centering
- No centering
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Question 15 of 15

15. Question
What is the recommendation regarding the sample size for a univariate AR1 model?
- Larger subject size with smaller number of measurements per subject
- Smaller subject size with larger number of measurements per subject
- Larger than 400 subjects
- Larger than 200 measurements per subject
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By CARMA Admin|2024-10-23T12:08:13-04:00November 14th, 2023|Comments Off on Longitudinal Structural Equation Modeling – Dr. Le Zhou

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