RM2 Final Study Guide PDF

**Time Series Designs (starting on 10/23/2024)** Here's a concise overview of the **Time Series Designs** topics. Let me know if you'd like me to elaborate on any specific point! ### **Time Series Designs Overview** - - - - - - - - - ### **Comparison Groups** - - - -...

**Time Series Designs (starting on 10/23/2024)** Here's a concise overview of the **Time Series Designs** topics. Let me know if you'd like me to elaborate on any specific point! ### **Time Series Designs Overview** - - - - - - - - - ### **Comparison Groups** - - - - ### **Selection Bias** - ### **Types of Time Series Designs** 1. - - - - - - - - - - - - 2. - - - - - - - - - - 3. - - - - - - - - - - 4. - - - - - - - - - 5. - - - - - - - - - - ### **Regression Discontinuity Design** - - - - - - - - - - - - - - 1. - - - - - - 1. 2. 3. a. 2. - - - - - - - 1. - 2. - - - - - - 3. - - - - 4. - - - - - - - - - - - - - - - - 4. - - 1. - - - - ### **Practice Problems** 1. - - 2. - - - - 3. - - - 4. - - - ### **Answers (Self-Check)** 1. 2. 3. - - 4. 5. ### **Conceptual Understanding of Regression Formula** **Simple regression** - - - - - - - - - - - - - - The formula for simple linear regression: - - - - - - - ### **Interpreting Regression Output** 1. - - - - 2. - - - - - 1. 3. - - - - - 4. - - - 5. - - - - - - - - - - - ### **Summary of Findings** - - - - - - **Summary Statement**: "Study hours significantly predict test scores (F = X, p \< 0.01). For every additional hour studied, test scores increase by 5 points. Study hours explain 64% of the variance in test scores." ### **Quick Practice** 1. - - 2. - - 3. Let me know if you'd like detailed answers, examples, or further breakdowns! 😊 ### **Rationale for Use** - - - - - - - - - - - ### **Types of Multiple Regression** 1. - - - - - 2. - - - - - - 3. - - - - - - - - - ### **Statistics to Interpret (Within Hierarchical Regression)** 1. - - - - 2. - - - - 3. - - 4. - - 5. - - - - - 6. - - ### **Example: Hierarchical Regression** **Research Question**: Do stress and social support predict mental health outcomes, after controlling for demographics? **Blocks**: - - **Output**: 1. - - 2. - - - **Summary of Findings**:\ \"Age and gender (Block 1) explain 10% of the variance in mental health. Adding stress and social support (Block 2) significantly increases explained variance to 35% (ΔR² = 0.25, p \< 0.01). Stress is a strong negative predictor (β = -0.60), while social support positively predicts mental health (β = 0.40).\" ### **Quick Practice Questions** 1. 2. - - - 3. Here are the answers to the **Quick Practice Questions**: ### **1. What does a significant change in R2R\^2R2 indicate when moving from Block 1 to Block 2?** - - ### **2. In a regression model:** - - - - - - - ### **3. Why is hierarchical regression preferable to stepwise regression in theory-driven research?** - - - - - - - **Key Point**: Hierarchical regression aligns with theory-driven research, ensuring that variable selection is based on research priorities rather than statistical convenience. **Moderation in regression:** - - - - - - - - - - - ### **. Moderation: Concept and Model Diagram** - - - - - **Model Diagram**: Where: - ### **2. Multicollinearity** - - - - ### **3. Centering** - - - ### **4. Calculating the Interaction Term** - - - - ### **5. Block Entry in Moderation** - - - - ### **6. Interpreting Output and Summary of Findings** - 1. - 2. - 3. - 4. ### **7. Example and Interpretation of Interaction Graph** **Example Scenario**: - - - **Output**: - - - - - **Graph Interpretation**: - - - **Summary**:\ \"Study hours positively predict test scores (b=3.0,p\