907 lines
26 KiB
TeX
907 lines
26 KiB
TeX
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% Math
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% Tables
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\usepackage{booktabs}
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\usepackage{multirow}
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% Citations
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\usepackage[style=authoryear,maxcitenames=2,backend=biber]{biblatex}
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\addbibresource{references.bib}
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\renewcommand*{\bibfont}{\scriptsize}
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% Custom colors - conservative for formal defense
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\setbeamercolor{block title}{fg=white,bg=universityblue}
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% Title page information
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\title[Dissertation Defense]{Title of Your Dissertation:\\Comprehensive and Descriptive}
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\subtitle{Dissertation Defense}
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\author[Your Name]{Your Name, M.S.\\
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\vspace{0.3cm}
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Doctoral Candidate\\
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Department of Your Field}
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\institute[University]{
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University Name\\
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\vspace{0.3cm}
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\textbf{Dissertation Committee:}\\
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Prof. Advisor Name (Chair)\\
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Prof. Committee Member 2\\
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Prof. Committee Member 3\\
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Prof. Committee Member 4\\
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Prof. External Member
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}
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\date{\today}
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% University logo
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% \logo{\includegraphics[height=0.8cm]{university_logo.png}}
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\begin{document}
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% Title slide
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\begin{frame}[plain]
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\titlepage
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\end{frame}
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% Committee and acknowledgments
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\begin{frame}{Dissertation Committee}
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\begin{center}
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\textbf{Committee Chair:}\\
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Prof. Advisor Name, PhD\\
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Department of Your Field
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\vspace{0.5cm}
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\textbf{Committee Members:}\\
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Prof. Member 2, PhD -- Department of Related Field\\
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Prof. Member 3, PhD -- Department of Your Field\\
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Prof. Member 4, PhD -- Department of Statistics\\
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Prof. External Member, PhD -- External Institution
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\vspace{0.8cm}
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\textit{Thank you to my committee for your guidance, support, and invaluable feedback throughout this dissertation research.}
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\end{center}
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\end{frame}
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% Overview
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\begin{frame}{Dissertation Overview}
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\begin{exampleblock}{Central Thesis}
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Brief statement of the overarching thesis or argument that ties together all dissertation studies.
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\end{exampleblock}
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\vspace{0.5cm}
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\textbf{Dissertation Structure:}
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\begin{itemize}
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\item \textbf{Chapter 1:} Introduction and theoretical framework
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\item \textbf{Chapter 2:} Study 1 -- [Brief description]
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\item \textbf{Chapter 3:} Study 2 -- [Brief description]
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\item \textbf{Chapter 4:} Study 3 -- [Brief description]
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\item \textbf{Chapter 5:} General discussion and conclusions
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\end{itemize}
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\end{frame}
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\begin{frame}{Outline}
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\tableofcontents
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\end{frame}
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%==============================================
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% CHAPTER 1: INTRODUCTION
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%==============================================
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\section{Chapter 1: Introduction and Background}
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\begin{frame}{The Problem}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Real-World Significance:}
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\begin{itemize}
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\item Prevalence: X affects Y million people
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\item Impact: Costs \$Z billion annually
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\item Need: Current solutions inadequate
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\item Opportunity: New approach needed
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\end{itemize}
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\end{column}
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\begin{column}{0.5\textwidth}
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\begin{figure}
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\centering
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% \includegraphics[width=\textwidth]{problem_figure.pdf}
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\framebox[0.9\textwidth][c]{[Problem Illustration]}
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\caption{Visualization of the problem}
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\end{figure}
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\end{column}
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\end{columns}
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\vspace{0.5cm}
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\begin{alertblock}{Central Question}
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How can we understand and address this critical challenge using novel theoretical framework X?
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\end{alertblock}
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\end{frame}
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\subsection{Theoretical Framework}
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\begin{frame}{Theoretical Background}
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\textbf{Historical Development:}
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\begin{itemize}
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\item \textbf{Early theories (1950s-1980s):} Established foundational concepts \cite{foundational1975}
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\item \textbf{Modern frameworks (1990s-2000s):} Refined understanding \cite{refinement2000}
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\item \textbf{Recent advances (2010s-present):} Novel approaches emerge \cite{recent2018}
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Key Theoretical Constructs:}
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\begin{enumerate}
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\item \textbf{Construct A:} Describes mechanism X
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\item \textbf{Construct B:} Explains process Y
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\item \textbf{Construct C:} Predicts outcome Z
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\end{enumerate}
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\vspace{0.5cm}
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\begin{block}{Theoretical Gap}
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Existing theories fail to account for interaction between A and B under conditions C
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\end{block}
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\end{frame}
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\begin{frame}{Literature Review: What We Know}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Established Findings:}
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\begin{itemize}
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\item Finding 1: Well-replicated
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\item Finding 2: Meta-analytically supported
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\item Finding 3: Cross-culturally validated
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\item Finding 4: Mechanism partially understood
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\end{itemize}
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\vspace{0.3cm}
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\textbf{Methodological Advances:}
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\begin{itemize}
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\item Technique A: Improved measurement
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\item Technique B: Better controls
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\item Technique C: Novel analysis
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\end{itemize}
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\end{column}
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\begin{column}{0.5\textwidth}
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\textbf{Remaining Questions:}
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\begin{itemize}
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\item[\alert{?}] How does A interact with B?
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\item[\alert{?}] What role does C play?
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\item[\alert{?}] Does effect generalize to D?
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\item[\alert{?}] What are boundary conditions?
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\end{itemize}
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\vspace{0.3cm}
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\begin{exampleblock}{Dissertation Focus}
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This dissertation addresses these gaps through three complementary studies
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\end{exampleblock}
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\end{column}
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\end{columns}
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\end{frame}
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\subsection{Dissertation Aims}
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\begin{frame}{Overarching Goals and Specific Aims}
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\begin{block}{Overall Dissertation Goal}
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To develop and test a comprehensive framework for understanding how X influences Y through mechanisms A, B, and C across contexts.
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\end{block}
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\vspace{0.5cm}
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\textbf{Specific Aims:}
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\begin{enumerate}
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\item \textbf{Study 1:} Establish relationship between X and Y
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\begin{itemize}
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\item Method: Cross-sectional survey (n = 500)
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\item Goal: Characterize X→Y relationship
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\end{itemize}
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\item \textbf{Study 2:} Identify mediating mechanisms A and B
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\begin{itemize}
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\item Method: Longitudinal study (n = 250, 3 waves)
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\item Goal: Test mediation and temporal precedence
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\end{itemize}
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\item \textbf{Study 3:} Test causal model and generalizability
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\begin{itemize}
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\item Method: Experimental manipulation (n = 180)
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\item Goal: Establish causality and boundary conditions
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\end{itemize}
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\end{enumerate}
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\end{frame}
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%==============================================
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% CHAPTER 2: STUDY 1
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%==============================================
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\section{Chapter 2: Study 1}
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\begin{frame}{Study 1: Overview}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Research Question:}\\
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Does X predict Y, and is this relationship moderated by individual difference Z?
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\vspace{0.5cm}
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\textbf{Hypotheses:}
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\begin{enumerate}
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\item H1: X positively predicts Y
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\item H2: Z moderates X→Y
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\item H3: Effect varies by demographic factors
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\end{enumerate}
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\end{column}
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\begin{column}{0.5\textwidth}
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\textbf{Design:}
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\begin{itemize}
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\item Cross-sectional survey
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\item N = 500 participants
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\item Online recruitment
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\item Power: .95 for medium effects
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\end{itemize}
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\vspace{0.3cm}
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\textbf{Measures:}
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\begin{itemize}
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\item X: Validated scale (α = .89)
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\item Y: Performance measure
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\item Z: Individual difference
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\item Controls: Demographics
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\end{itemize}
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\end{column}
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\end{columns}
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\end{frame}
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\begin{frame}{Study 1: Methods}
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\textbf{Participants:}
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\begin{itemize}
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\item N = 500 (62\% female; Age: $M = 34.2$, $SD = 11.5$)
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\item Recruited via university participant pool and online platforms
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\item Inclusion: Ages 18-65, fluent in English
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\item Exclusion: Prior participation in related studies
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Procedure:}
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\begin{enumerate}
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\item Informed consent and demographics
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\item Battery of questionnaires (45 minutes)
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\item Debriefing and compensation
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\end{enumerate}
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\vspace{0.5cm}
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\textbf{Analysis:}
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\begin{itemize}
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\item Hierarchical regression for H1 and H2
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\item Moderation analysis using PROCESS macro
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\item Subgroup analyses for H3
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\end{itemize}
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\end{frame}
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\begin{frame}{Study 1: Results}
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\begin{columns}[c]
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\begin{column}{0.6\textwidth}
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\begin{figure}
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\centering
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% \includegraphics[width=\textwidth]{study1_main_result.pdf}
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\framebox[0.9\textwidth][c]{[Study 1: Main Result]}
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\caption{X predicts Y ($\beta = 0.47$, $p < .001$, $R^2 = .22$)}
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\end{figure}
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\end{column}
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\begin{column}{0.4\textwidth}
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\textbf{Key Findings:}
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\begin{itemize}
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\item H1 supported: Strong X→Y relationship
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\item H2 supported: Z moderates effect
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\item H3 partially supported: Age effects found
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\end{itemize}
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\vspace{0.5cm}
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\begin{block}{Conclusion}
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Study 1 establishes foundational X→Y relationship
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\end{block}
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\end{column}
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\end{columns}
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\end{frame}
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%==============================================
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% CHAPTER 3: STUDY 2
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%==============================================
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\section{Chapter 3: Study 2}
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\begin{frame}{Study 2: Overview}
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\begin{exampleblock}{Research Question}
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What mechanisms (A and B) mediate the X→Y relationship, and what is the temporal ordering?
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\end{exampleblock}
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\vspace{0.5cm}
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\textbf{Rationale:}
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\begin{itemize}
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\item Study 1 showed X→Y relationship exists
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\item Need to identify mediating processes
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\item Longitudinal design establishes temporal precedence
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\item Tests proposed theoretical model
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Design:}
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\begin{itemize}
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\item Three-wave longitudinal study
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\item N = 250, assessments 6 months apart
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\item Measures: X (T1), A and B (T2), Y (T3)
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\item Analysis: Cross-lagged panel model, mediation
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\end{itemize}
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\end{frame}
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\begin{frame}{Study 2: Methods}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Sample:}
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\begin{itemize}
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\item N = 250 at baseline
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\item Retention: 88\% at T2, 82\% at T3
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\item Age: $M = 36.4$, $SD = 12.1$
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\item 58\% female, diverse sample
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Timeline:}
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\begin{itemize}
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\item T1 (baseline): X measured
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\item T2 (+6 months): A, B measured
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\item T3 (+12 months): Y measured
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\end{itemize}
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\end{column}
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\begin{column}{0.5\textwidth}
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\begin{figure}
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\centering
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% \includegraphics[width=\textwidth]{study2_design.pdf}
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\framebox[0.9\textwidth][c]{[Longitudinal Design]}
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\caption{Three-wave design with proposed mediation model}
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\end{figure}
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\end{column}
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\end{columns}
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\vspace{0.5cm}
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\textbf{Analysis:}
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\begin{itemize}
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\item Structural equation modeling for mediation
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\item Cross-lagged panel model for temporal precedence
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\item Missing data handled via FIML
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\end{itemize}
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\end{frame}
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\begin{frame}{Study 2: Results}
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\begin{figure}
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\centering
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% \includegraphics[width=0.8\textwidth]{study2_mediation.pdf}
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\framebox[0.75\textwidth][c]{[Mediation Model with Path Coefficients]}
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\caption{Serial mediation: X → A → B → Y}
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\end{figure}
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\vspace{0.5cm}
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\textbf{Path Coefficients:}
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\begin{itemize}
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\item X → A: $\beta = 0.42$, $p < .001$
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\item A → B: $\beta = 0.35$, $p < .001$
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\item B → Y: $\beta = 0.38$, $p < .001$
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\item X → Y (direct): $\beta = 0.18$, $p = .032$
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\item Indirect effect: $\beta = 0.29$, 95\% CI [0.19, 0.41]
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\end{itemize}
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\alert{61\% of total effect mediated by A→B pathway}
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\end{frame}
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%==============================================
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% CHAPTER 4: STUDY 3
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%==============================================
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\section{Chapter 4: Study 3}
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\begin{frame}{Study 3: Overview}
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\begin{alertblock}{Research Question}
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Can we establish causality by experimentally manipulating X, and does the effect generalize across contexts?
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\end{alertblock}
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\vspace{0.5cm}
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\textbf{Motivation:}
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\begin{itemize}
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\item Studies 1-2 showed correlational evidence
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\item Need experimental test for causality
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\item Test generalizability to applied context
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\item Examine boundary conditions
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Design:}
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\begin{itemize}
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\item 2 (X: low vs. high) × 2 (Context: lab vs. field) factorial
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\item N = 180 (45 per condition)
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\item Random assignment to conditions
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\item Outcome: Y measured post-manipulation
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\end{itemize}
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\end{frame}
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\begin{frame}{Study 3: Methods}
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\textbf{Experimental Manipulation:}
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\begin{itemize}
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\item \textbf{Low X condition:} Control procedure
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\item \textbf{High X condition:} Experimental manipulation designed to increase X
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\item Manipulation check: Successful ($t(178) = 8.92$, $p < .001$, $d = 1.34$)
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Contexts:}
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\begin{itemize}
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\item \textbf{Lab context:} Controlled laboratory setting (original)
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\item \textbf{Field context:} Applied real-world setting (generalization test)
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Measures:}
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\begin{itemize}
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\item Primary outcome Y (same as Studies 1-2)
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\item Mediators A and B
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\item Moderator Z
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\item Potential confounds
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\end{itemize}
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\end{frame}
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\begin{frame}{Study 3: Results}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\begin{figure}
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\centering
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% \includegraphics[width=\textwidth]{study3_results.pdf}
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\framebox[0.9\textwidth][c]{[Experimental Results]}
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\caption{Main effect of X on Y}
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\end{figure}
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\end{column}
|
||
|
||
\begin{column}{0.5\textwidth}
|
||
\textbf{ANOVA Results:}
|
||
\begin{itemize}
|
||
\item Main effect of X: $F(1,176) = 45.2$, $p < .001$, $\eta^2_p = .20$
|
||
\item Main effect of Context: $F(1,176) = 2.1$, $p = .15$
|
||
\item X × Context: $F(1,176) = 0.8$, $p = .38$
|
||
\end{itemize}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\begin{block}{Key Finding}
|
||
Causal effect of X on Y confirmed; generalizes across contexts
|
||
\end{block}
|
||
\end{column}
|
||
|
||
\end{columns}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Mediation:} Experimental mediation analysis confirmed A and B as mechanisms
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% CHAPTER 5: GENERAL DISCUSSION
|
||
%==============================================
|
||
|
||
\section{Chapter 5: General Discussion}
|
||
|
||
\begin{frame}{Synthesis Across Studies}
|
||
\begin{table}
|
||
\centering
|
||
\caption{Summary of findings across three studies}
|
||
\small
|
||
\begin{tabular}{lccc}
|
||
\toprule
|
||
\textbf{Finding} & \textbf{Study 1} & \textbf{Study 2} & \textbf{Study 3} \\
|
||
\midrule
|
||
X → Y relationship & Yes & Yes & Yes (causal) \\
|
||
Mediation by A & --- & Yes & Yes \\
|
||
Mediation by B & --- & Yes & Yes \\
|
||
Moderation by Z & Yes & Yes & Yes \\
|
||
Generalization & --- & --- & Yes \\
|
||
\bottomrule
|
||
\end{tabular}
|
||
\end{table}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Convergent Evidence:}
|
||
\begin{itemize}
|
||
\item Robust X→Y relationship across designs and samples
|
||
\item Consistent mediation by A→B pathway
|
||
\item Moderation by Z replicated
|
||
\item Effects generalize from lab to field
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Theoretical Contributions}
|
||
\begin{exampleblock}{Novel Theoretical Framework}
|
||
This dissertation proposes and validates the XYZ Model, which integrates constructs A, B, and C to explain how X influences Y.
|
||
\end{exampleblock}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Specific Contributions:}
|
||
\begin{enumerate}
|
||
\item \textbf{Integration:} Bridges previously separate literatures on A and B
|
||
\item \textbf{Mechanism:} Identifies A→B as key mediating pathway
|
||
\item \textbf{Boundary conditions:} Specifies role of moderator Z
|
||
\item \textbf{Generalizability:} Shows effects across contexts
|
||
\item \textbf{Causality:} Establishes X as causal factor
|
||
\end{enumerate}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Advances Beyond Prior Work:}
|
||
\begin{itemize}
|
||
\item More comprehensive than Theory 1 \cite{theory1}
|
||
\item Resolves contradictions between Studies A and B
|
||
\item Provides testable predictions for future research
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Practical Implications}
|
||
\begin{columns}[T]
|
||
|
||
\begin{column}{0.5\textwidth}
|
||
\textbf{Clinical Applications:}
|
||
\begin{itemize}
|
||
\item Assessment: Screen for X
|
||
\item Intervention target: Increase A and B
|
||
\item Tailoring: Consider moderator Z
|
||
\item Outcome: Expect improvement in Y
|
||
\end{itemize}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Implementation:}
|
||
\begin{itemize}
|
||
\item Feasibility demonstrated in field study
|
||
\item Scalable to larger populations
|
||
\item Cost-effective approach
|
||
\end{itemize}
|
||
\end{column}
|
||
|
||
\begin{column}{0.5\textwidth}
|
||
\textbf{Policy Recommendations:}
|
||
\begin{enumerate}
|
||
\item Support programs targeting X
|
||
\item Fund interventions enhancing A
|
||
\item Consider individual differences Z
|
||
\item Monitor outcomes Y
|
||
\end{enumerate}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\begin{alertblock}{Impact}
|
||
Findings suggest potential to improve outcomes for population experiencing low X
|
||
\end{alertblock}
|
||
\end{column}
|
||
|
||
\end{columns}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Limitations and Future Directions}
|
||
\textbf{Study Limitations:}
|
||
\begin{enumerate}
|
||
\item \textbf{Sample:} Primarily university-educated, young adults
|
||
\begin{itemize}
|
||
\item Future: Community samples, diverse populations
|
||
\end{itemize}
|
||
|
||
\item \textbf{Measures:} Some reliance on self-report
|
||
\begin{itemize}
|
||
\item Future: Multi-method assessment (behavioral, biological)
|
||
\end{itemize}
|
||
|
||
\item \textbf{Time frame:} Longest follow-up was 12 months
|
||
\begin{itemize}
|
||
\item Future: Longer-term longitudinal studies
|
||
\end{itemize}
|
||
|
||
\item \textbf{Mechanisms:} Other pathways may exist
|
||
\begin{itemize}
|
||
\item Future: Explore alternative mediators
|
||
\end{itemize}
|
||
\end{enumerate}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Future Research Program}
|
||
\begin{block}{Immediate Next Steps}
|
||
\begin{itemize}
|
||
\item Replicate in clinical populations
|
||
\item Develop intervention based on findings
|
||
\item Test with diverse samples
|
||
\item Examine individual differences in response
|
||
\end{itemize}
|
||
\end{block}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Long-Term Research Agenda:}
|
||
\begin{enumerate}
|
||
\item \textbf{Mechanism refinement:} Neural/biological underpinnings
|
||
\item \textbf{Intervention development:} RCT of theory-driven treatment
|
||
\item \textbf{Moderator exploration:} Genetic, environmental factors
|
||
\item \textbf{Translation:} Dissemination and implementation science
|
||
\item \textbf{Extension:} Apply framework to related phenomena
|
||
\end{enumerate}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Collaboration Opportunities:}
|
||
\begin{itemize}
|
||
\item Clinical partners for intervention trials
|
||
\item Neuroscientists for mechanism studies
|
||
\item Community organizations for implementation
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% CONCLUSIONS
|
||
%==============================================
|
||
|
||
\section{Conclusions}
|
||
|
||
\begin{frame}{Dissertation Conclusions}
|
||
\begin{exampleblock}{Central Thesis (Revisited)}
|
||
Through three complementary studies, this dissertation demonstrates that X influences Y through mechanisms A and B, moderated by Z, with effects generalizing across contexts.
|
||
\end{exampleblock}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Key Achievements:}
|
||
\begin{enumerate}
|
||
\item Established robust X→Y relationship across designs
|
||
\item Identified and validated A→B mediating pathway
|
||
\item Demonstrated causality via experimental manipulation
|
||
\item Showed generalizability from lab to field
|
||
\item Proposed novel XYZ theoretical framework
|
||
\end{enumerate}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Significance:}
|
||
\begin{itemize}
|
||
\item Theoretical advancement in understanding X→Y processes
|
||
\item Methodological contribution through multi-study design
|
||
\item Practical applications for intervention and policy
|
||
\item Foundation for sustained research program
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Final Thoughts}
|
||
\begin{block}{Take-Home Message}
|
||
This dissertation provides compelling converging evidence that X causes Y through mechanisms A and B, offering both theoretical understanding and practical pathways for intervention.
|
||
\end{block}
|
||
|
||
\vspace{1cm}
|
||
|
||
\textbf{Broader Impact:}
|
||
\begin{itemize}
|
||
\item Advances scientific understanding of fundamental process
|
||
\item Provides evidence-based framework for practitioners
|
||
\item Opens new avenues for future research
|
||
\item Demonstrates potential to improve outcomes for affected populations
|
||
\end{itemize}
|
||
|
||
\vspace{1cm}
|
||
|
||
\begin{center}
|
||
\textit{"The best way to predict the future is to create it."} \\
|
||
-- Peter Drucker
|
||
\end{center}
|
||
\end{frame}
|
||
|
||
\begin{frame}[plain]
|
||
\begin{center}
|
||
{\LARGE \textbf{Thank You}}
|
||
|
||
\vspace{1cm}
|
||
|
||
{\Large Questions from the Committee}
|
||
|
||
\vspace{1.5cm}
|
||
|
||
\textbf{Your Name, M.S.}\\
|
||
Doctoral Candidate\\
|
||
Department of Your Field\\
|
||
University Name\\
|
||
\texttt{yourname@university.edu}
|
||
|
||
\vspace{1cm}
|
||
|
||
{\footnotesize
|
||
\textbf{Funding Acknowledgment:}\\
|
||
This research was supported by [Grant Agency] Grant \#[Number],\\
|
||
[Fellowship Name], and [University] Dissertation Fellowship
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Special Thanks:}\\
|
||
My advisor Prof. [Name], committee members, lab colleagues,\\
|
||
study participants, and my family for their unwavering support
|
||
}
|
||
\end{center}
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% BACKUP SLIDES
|
||
%==============================================
|
||
|
||
\appendix
|
||
|
||
\begin{frame}{Backup: Study 1 Full Results}
|
||
\begin{table}
|
||
\centering
|
||
\caption{Complete regression results for Study 1}
|
||
\footnotesize
|
||
\begin{tabular}{lcccc}
|
||
\toprule
|
||
\textbf{Predictor} & $\boldsymbol{\beta}$ & \textbf{SE} & \textbf{$t$} & \textbf{$p$} \\
|
||
\midrule
|
||
\multicolumn{5}{l}{\textit{Step 1: Demographics}} \\
|
||
Age & 0.12 & 0.04 & 3.00 & .003 \\
|
||
Gender & 0.08 & 0.05 & 1.60 & .110 \\
|
||
Education & 0.15 & 0.04 & 3.75 & < .001 \\
|
||
\midrule
|
||
\multicolumn{5}{l}{\textit{Step 2: Main Effect}} \\
|
||
X & 0.47 & 0.04 & 11.75 & < .001 \\
|
||
\midrule
|
||
\multicolumn{5}{l}{\textit{Step 3: Moderation}} \\
|
||
Z & 0.18 & 0.04 & 4.50 & < .001 \\
|
||
X × Z & 0.12 & 0.04 & 3.00 & .003 \\
|
||
\bottomrule
|
||
\multicolumn{5}{l}{Final model: $R^2 = .28$, $F(6,493) = 32.1$, $p < .001$} \\
|
||
\end{tabular}
|
||
\end{table}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Backup: Study 2 Model Fit}
|
||
\textbf{Structural Equation Model Fit Indices:}
|
||
|
||
\begin{table}
|
||
\centering
|
||
\begin{tabular}{lcc}
|
||
\toprule
|
||
\textbf{Index} & \textbf{Value} & \textbf{Criterion} \\
|
||
\midrule
|
||
$\chi^2$/df & 2.34 & < 3.0 \\
|
||
CFI & 0.96 & > 0.95 \\
|
||
TLI & 0.95 & > 0.95 \\
|
||
RMSEA & 0.045 & < 0.06 \\
|
||
SRMR & 0.038 & < 0.08 \\
|
||
\bottomrule
|
||
\end{tabular}
|
||
\end{table}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Conclusion:} Excellent model fit, proposed model fits data well
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Alternative Models Tested:}
|
||
\begin{itemize}
|
||
\item Direct-only model: $\Delta\chi^2(2) = 45.6$, $p < .001$ (worse fit)
|
||
\item Reverse mediation: $\Delta\chi^2(2) = 38.2$, $p < .001$ (worse fit)
|
||
\item Proposed model provides best fit
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Backup: Study 3 Additional Analyses}
|
||
\textbf{Subgroup Effects:}
|
||
|
||
\begin{figure}
|
||
\centering
|
||
% \includegraphics[width=0.7\textwidth]{study3_subgroups.pdf}
|
||
\framebox[0.65\textwidth][c]{[Subgroup Analysis Results]}
|
||
\caption{Effect of X on Y by moderator Z levels}
|
||
\end{figure}
|
||
|
||
\begin{itemize}
|
||
\item High Z: $d = 0.95$, $p < .001$
|
||
\item Medium Z: $d = 0.72$, $p < .001$
|
||
\item Low Z: $d = 0.45$, $p = .008$
|
||
\item Moderation: $F(2,174) = 6.8$, $p = .001$
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% REFERENCES
|
||
%==============================================
|
||
|
||
\begin{frame}[allowframebreaks]{References}
|
||
\printbibliography
|
||
\end{frame}
|
||
|
||
\end{document}
|