MD

Detailed Study Notes on Regression, Moderation, and Moderated Mediation in SPSS

Class Overview

  • Introduction and brief assessment overview

  • Review of key concepts: Regression, Moderation, and Moderated Mediation

  • Emphasis on familiarity with content for assessment preparations

Class Objectives

  • Ensure students understand quantitative analysis throughout the course

  • Discuss key terminologies

  • Introduce regression analysis and its applications, specifically with SPSS

Assessment Overview

  • Assessment will cover substantial workshop content

  • Aim to review content, carry out regression and moderation analysis using SPSS

  • All key terminology will be clarified in conjunction with the assessment details

Topic Introduction

Regression Analysis

  • Definition of Regression:

    • A method for predicting outcomes (Y) based on predictors (X).

  • Key components of Multiple Regression Analysis (MRA):

    • Involves multiple predictors influencing a single outcome.

    • Assumptions of MRA must be checked before analysis (e.g., normality, collinearity).

Moderation

  • Definition of Moderation:

    • A third variable (the moderator) influences the strength or direction of the relationship between X and Y.

  • Key Concepts:

    • Moderation makes it easier to justify relationships in regression models.

    • Example: In the context of aggression study, callousness moderates the relationship between video game play and aggressive behavior.

  • Model Representation:

    • A diagram (not visual here) will detail this relationship.

Moderated Mediation

  • Definition of Moderated Mediation:

    • A combination of moderation and mediation where the effect of an independent variable on a dependent variable through a mediator is moderated by a third variable.

  • Example:

    • Using video games playing affecting aggression which is mediated by callousness and moderated by the severity of gaming.

  • Model Representation:

    • Two separate models can address both mediation and moderation simultaneously.

Practical Application of SPSS

SPSS Elements for Analysis

  • Data Preparation:: Check for missing values, normality, and ensure valid data types in SPSS.

  • Conducting a MRA:

    • Steps for running the regression and examining assumptions before analysis.

  • Centering:

    • Centering can mitigate issues with multicollinearity in moderated models.

Important Research Concepts

Power Analysis

  • Use of G Power to assess necessary sample sizes for studies.

  • Understanding that moderation and mediation processes have different implications on power.

  • Discussing how power analysis tools can aid in research design decisions.

Introduction to the Hayes Process Macro

  • Overview of the Hayes Process Macro for conducting moderation and moderated mediation analysis.

  • Explanation of how this can simplify the analytical process in SPSS.

Class Activities

Real-World Examples

  • Discussion of video games and aggression with various moderating factors.

  • Focus on case studies to illustrate the principles discussed, reinforcing understanding.

Student Engagement & Questions

Addressing Queries

  • Open floor for questions on complex topics, offering clarification as needed.

  • Encouragement for students to persevere with complex data interpretations and ask directed questions.

Final Discussion before Break

  • Recap of core concepts before moving into practical analysis phases.

  • Explain importance of conceptual understanding for successful completion of assessments.