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% Graphics
\usepackage{graphicx}
\graphicspath{{./figures/}}
% Math
\usepackage{amsmath, amssymb, amsthm}
% Tables
\usepackage{booktabs}
\usepackage{multirow}
% Citations
\usepackage[style=authoryear,maxcitenames=2,backend=biber]{biblatex}
\addbibresource{references.bib}
\renewcommand*{\bibfont}{\scriptsize}
% Custom colors - conservative for formal defense
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% Title page information
\title[Dissertation Defense]{Title of Your Dissertation:\\Comprehensive and Descriptive}
\subtitle{Dissertation Defense}
\author[Your Name]{Your Name, M.S.\\
\vspace{0.3cm}
Doctoral Candidate\\
Department of Your Field}
\institute[University]{
University Name\\
\vspace{0.3cm}
\textbf{Dissertation Committee:}\\
Prof. Advisor Name (Chair)\\
Prof. Committee Member 2\\
Prof. Committee Member 3\\
Prof. Committee Member 4\\
Prof. External Member
}
\date{\today}
% University logo
% \logo{\includegraphics[height=0.8cm]{university_logo.png}}
\begin{document}
% Title slide
\begin{frame}[plain]
\titlepage
\end{frame}
% Committee and acknowledgments
\begin{frame}{Dissertation Committee}
\begin{center}
\textbf{Committee Chair:}\\
Prof. Advisor Name, PhD\\
Department of Your Field
\vspace{0.5cm}
\textbf{Committee Members:}\\
Prof. Member 2, PhD -- Department of Related Field\\
Prof. Member 3, PhD -- Department of Your Field\\
Prof. Member 4, PhD -- Department of Statistics\\
Prof. External Member, PhD -- External Institution
\vspace{0.8cm}
\textit{Thank you to my committee for your guidance, support, and invaluable feedback throughout this dissertation research.}
\end{center}
\end{frame}
% Overview
\begin{frame}{Dissertation Overview}
\begin{exampleblock}{Central Thesis}
Brief statement of the overarching thesis or argument that ties together all dissertation studies.
\end{exampleblock}
\vspace{0.5cm}
\textbf{Dissertation Structure:}
\begin{itemize}
\item \textbf{Chapter 1:} Introduction and theoretical framework
\item \textbf{Chapter 2:} Study 1 -- [Brief description]
\item \textbf{Chapter 3:} Study 2 -- [Brief description]
\item \textbf{Chapter 4:} Study 3 -- [Brief description]
\item \textbf{Chapter 5:} General discussion and conclusions
\end{itemize}
\end{frame}
\begin{frame}{Outline}
\tableofcontents
\end{frame}
%==============================================
% CHAPTER 1: INTRODUCTION
%==============================================
\section{Chapter 1: Introduction and Background}
\begin{frame}{The Problem}
\begin{columns}[T]
\begin{column}{0.5\textwidth}
\textbf{Real-World Significance:}
\begin{itemize}
\item Prevalence: X affects Y million people
\item Impact: Costs \$Z billion annually
\item Need: Current solutions inadequate
\item Opportunity: New approach needed
\end{itemize}
\end{column}
\begin{column}{0.5\textwidth}
\begin{figure}
\centering
% \includegraphics[width=\textwidth]{problem_figure.pdf}
\framebox[0.9\textwidth][c]{[Problem Illustration]}
\caption{Visualization of the problem}
\end{figure}
\end{column}
\end{columns}
\vspace{0.5cm}
\begin{alertblock}{Central Question}
How can we understand and address this critical challenge using novel theoretical framework X?
\end{alertblock}
\end{frame}
\subsection{Theoretical Framework}
\begin{frame}{Theoretical Background}
\textbf{Historical Development:}
\begin{itemize}
\item \textbf{Early theories (1950s-1980s):} Established foundational concepts \cite{foundational1975}
\item \textbf{Modern frameworks (1990s-2000s):} Refined understanding \cite{refinement2000}
\item \textbf{Recent advances (2010s-present):} Novel approaches emerge \cite{recent2018}
\end{itemize}
\vspace{0.5cm}
\textbf{Key Theoretical Constructs:}
\begin{enumerate}
\item \textbf{Construct A:} Describes mechanism X
\item \textbf{Construct B:} Explains process Y
\item \textbf{Construct C:} Predicts outcome Z
\end{enumerate}
\vspace{0.5cm}
\begin{block}{Theoretical Gap}
Existing theories fail to account for interaction between A and B under conditions C
\end{block}
\end{frame}
\begin{frame}{Literature Review: What We Know}
\begin{columns}[T]
\begin{column}{0.5\textwidth}
\textbf{Established Findings:}
\begin{itemize}
\item Finding 1: Well-replicated
\item Finding 2: Meta-analytically supported
\item Finding 3: Cross-culturally validated
\item Finding 4: Mechanism partially understood
\end{itemize}
\vspace{0.3cm}
\textbf{Methodological Advances:}
\begin{itemize}
\item Technique A: Improved measurement
\item Technique B: Better controls
\item Technique C: Novel analysis
\end{itemize}
\end{column}
\begin{column}{0.5\textwidth}
\textbf{Remaining Questions:}
\begin{itemize}
\item[\alert{?}] How does A interact with B?
\item[\alert{?}] What role does C play?
\item[\alert{?}] Does effect generalize to D?
\item[\alert{?}] What are boundary conditions?
\end{itemize}
\vspace{0.3cm}
\begin{exampleblock}{Dissertation Focus}
This dissertation addresses these gaps through three complementary studies
\end{exampleblock}
\end{column}
\end{columns}
\end{frame}
\subsection{Dissertation Aims}
\begin{frame}{Overarching Goals and Specific Aims}
\begin{block}{Overall Dissertation Goal}
To develop and test a comprehensive framework for understanding how X influences Y through mechanisms A, B, and C across contexts.
\end{block}
\vspace{0.5cm}
\textbf{Specific Aims:}
\begin{enumerate}
\item \textbf{Study 1:} Establish relationship between X and Y
\begin{itemize}
\item Method: Cross-sectional survey (n = 500)
\item Goal: Characterize X→Y relationship
\end{itemize}
\item \textbf{Study 2:} Identify mediating mechanisms A and B
\begin{itemize}
\item Method: Longitudinal study (n = 250, 3 waves)
\item Goal: Test mediation and temporal precedence
\end{itemize}
\item \textbf{Study 3:} Test causal model and generalizability
\begin{itemize}
\item Method: Experimental manipulation (n = 180)
\item Goal: Establish causality and boundary conditions
\end{itemize}
\end{enumerate}
\end{frame}
%==============================================
% CHAPTER 2: STUDY 1
%==============================================
\section{Chapter 2: Study 1}
\begin{frame}{Study 1: Overview}
\begin{columns}[T]
\begin{column}{0.5\textwidth}
\textbf{Research Question:}\\
Does X predict Y, and is this relationship moderated by individual difference Z?
\vspace{0.5cm}
\textbf{Hypotheses:}
\begin{enumerate}
\item H1: X positively predicts Y
\item H2: Z moderates X→Y
\item H3: Effect varies by demographic factors
\end{enumerate}
\end{column}
\begin{column}{0.5\textwidth}
\textbf{Design:}
\begin{itemize}
\item Cross-sectional survey
\item N = 500 participants
\item Online recruitment
\item Power: .95 for medium effects
\end{itemize}
\vspace{0.3cm}
\textbf{Measures:}
\begin{itemize}
\item X: Validated scale (α = .89)
\item Y: Performance measure
\item Z: Individual difference
\item Controls: Demographics
\end{itemize}
\end{column}
\end{columns}
\end{frame}
\begin{frame}{Study 1: Methods}
\textbf{Participants:}
\begin{itemize}
\item N = 500 (62\% female; Age: $M = 34.2$, $SD = 11.5$)
\item Recruited via university participant pool and online platforms
\item Inclusion: Ages 18-65, fluent in English
\item Exclusion: Prior participation in related studies
\end{itemize}
\vspace{0.5cm}
\textbf{Procedure:}
\begin{enumerate}
\item Informed consent and demographics
\item Battery of questionnaires (45 minutes)
\item Debriefing and compensation
\end{enumerate}
\vspace{0.5cm}
\textbf{Analysis:}
\begin{itemize}
\item Hierarchical regression for H1 and H2
\item Moderation analysis using PROCESS macro
\item Subgroup analyses for H3
\end{itemize}
\end{frame}
\begin{frame}{Study 1: Results}
\begin{columns}[c]
\begin{column}{0.6\textwidth}
\begin{figure}
\centering
% \includegraphics[width=\textwidth]{study1_main_result.pdf}
\framebox[0.9\textwidth][c]{[Study 1: Main Result]}
\caption{X predicts Y ($\beta = 0.47$, $p < .001$, $R^2 = .22$)}
\end{figure}
\end{column}
\begin{column}{0.4\textwidth}
\textbf{Key Findings:}
\begin{itemize}
\item H1 supported: Strong X→Y relationship
\item H2 supported: Z moderates effect
\item H3 partially supported: Age effects found
\end{itemize}
\vspace{0.5cm}
\begin{block}{Conclusion}
Study 1 establishes foundational X→Y relationship
\end{block}
\end{column}
\end{columns}
\end{frame}
%==============================================
% CHAPTER 3: STUDY 2
%==============================================
\section{Chapter 3: Study 2}
\begin{frame}{Study 2: Overview}
\begin{exampleblock}{Research Question}
What mechanisms (A and B) mediate the X→Y relationship, and what is the temporal ordering?
\end{exampleblock}
\vspace{0.5cm}
\textbf{Rationale:}
\begin{itemize}
\item Study 1 showed X→Y relationship exists
\item Need to identify mediating processes
\item Longitudinal design establishes temporal precedence
\item Tests proposed theoretical model
\end{itemize}
\vspace{0.5cm}
\textbf{Design:}
\begin{itemize}
\item Three-wave longitudinal study
\item N = 250, assessments 6 months apart
\item Measures: X (T1), A and B (T2), Y (T3)
\item Analysis: Cross-lagged panel model, mediation
\end{itemize}
\end{frame}
\begin{frame}{Study 2: Methods}
\begin{columns}[T]
\begin{column}{0.5\textwidth}
\textbf{Sample:}
\begin{itemize}
\item N = 250 at baseline
\item Retention: 88\% at T2, 82\% at T3
\item Age: $M = 36.4$, $SD = 12.1$
\item 58\% female, diverse sample
\end{itemize}
\vspace{0.5cm}
\textbf{Timeline:}
\begin{itemize}
\item T1 (baseline): X measured
\item T2 (+6 months): A, B measured
\item T3 (+12 months): Y measured
\end{itemize}
\end{column}
\begin{column}{0.5\textwidth}
\begin{figure}
\centering
% \includegraphics[width=\textwidth]{study2_design.pdf}
\framebox[0.9\textwidth][c]{[Longitudinal Design]}
\caption{Three-wave design with proposed mediation model}
\end{figure}
\end{column}
\end{columns}
\vspace{0.5cm}
\textbf{Analysis:}
\begin{itemize}
\item Structural equation modeling for mediation
\item Cross-lagged panel model for temporal precedence
\item Missing data handled via FIML
\end{itemize}
\end{frame}
\begin{frame}{Study 2: Results}
\begin{figure}
\centering
% \includegraphics[width=0.8\textwidth]{study2_mediation.pdf}
\framebox[0.75\textwidth][c]{[Mediation Model with Path Coefficients]}
\caption{Serial mediation: X → A → B → Y}
\end{figure}
\vspace{0.5cm}
\textbf{Path Coefficients:}
\begin{itemize}
\item X → A: $\beta = 0.42$, $p < .001$
\item A → B: $\beta = 0.35$, $p < .001$
\item B → Y: $\beta = 0.38$, $p < .001$
\item X → Y (direct): $\beta = 0.18$, $p = .032$
\item Indirect effect: $\beta = 0.29$, 95\% CI [0.19, 0.41]
\end{itemize}
\alert{61\% of total effect mediated by A→B pathway}
\end{frame}
%==============================================
% CHAPTER 4: STUDY 3
%==============================================
\section{Chapter 4: Study 3}
\begin{frame}{Study 3: Overview}
\begin{alertblock}{Research Question}
Can we establish causality by experimentally manipulating X, and does the effect generalize across contexts?
\end{alertblock}
\vspace{0.5cm}
\textbf{Motivation:}
\begin{itemize}
\item Studies 1-2 showed correlational evidence
\item Need experimental test for causality
\item Test generalizability to applied context
\item Examine boundary conditions
\end{itemize}
\vspace{0.5cm}
\textbf{Design:}
\begin{itemize}
\item 2 (X: low vs. high) × 2 (Context: lab vs. field) factorial
\item N = 180 (45 per condition)
\item Random assignment to conditions
\item Outcome: Y measured post-manipulation
\end{itemize}
\end{frame}
\begin{frame}{Study 3: Methods}
\textbf{Experimental Manipulation:}
\begin{itemize}
\item \textbf{Low X condition:} Control procedure
\item \textbf{High X condition:} Experimental manipulation designed to increase X
\item Manipulation check: Successful ($t(178) = 8.92$, $p < .001$, $d = 1.34$)
\end{itemize}
\vspace{0.5cm}
\textbf{Contexts:}
\begin{itemize}
\item \textbf{Lab context:} Controlled laboratory setting (original)
\item \textbf{Field context:} Applied real-world setting (generalization test)
\end{itemize}
\vspace{0.5cm}
\textbf{Measures:}
\begin{itemize}
\item Primary outcome Y (same as Studies 1-2)
\item Mediators A and B
\item Moderator Z
\item Potential confounds
\end{itemize}
\end{frame}
\begin{frame}{Study 3: Results}
\begin{columns}[T]
\begin{column}{0.5\textwidth}
\begin{figure}
\centering
% \includegraphics[width=\textwidth]{study3_results.pdf}
\framebox[0.9\textwidth][c]{[Experimental Results]}
\caption{Main effect of X on Y}
\end{figure}
\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}
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% REFERENCES
%==============================================
\begin{frame}[allowframebreaks]{References}
\printbibliography
\end{frame}
\end{document}