871 lines
23 KiB
TeX
871 lines
23 KiB
TeX
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% Title information
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\title[Short Title for Footer]{Full Title of Your Research:\\Comprehensive and Descriptive}
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\subtitle{Research Seminar Presentation}
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\author[Your Name]{Your Name, PhD Candidate\\
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Advisor: Prof. Advisor Name}
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\institute[University]{
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Department of Your Field\\
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University Name\\
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\vspace{0.2cm}
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\texttt{yourname@university.edu}
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}
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\date{\today}
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% Logo (optional)
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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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% Outline
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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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% INTRODUCTION
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%==============================================
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\section{Introduction}
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\begin{frame}{Motivation}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{The Big Picture:}
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\begin{itemize}
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\item Why this research area matters
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\item Real-world impact and applications
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\item Current challenges in the field
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\item Opportunity for advancement
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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]{motivation_figure.pdf}
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\framebox[0.9\textwidth][c]{[Motivating Figure]}
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\caption{Illustration of the problem or impact}
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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{block}{Central Question}
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How can we address this important challenge using novel approach X?
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\end{block}
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\end{frame}
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\subsection{Background}
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\begin{frame}{Prior Work: Overview}
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\textbf{Historical Development:}
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\begin{itemize}
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\item Early work established foundation \cite{seminal1990}
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\item Key advances in 2000s \cite{advance2005,advance2007}
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\item Recent developments \cite{recent2020,recent2022}
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Current State of Knowledge:}
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\begin{enumerate}
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\item We know that X affects Y
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\item Evidence suggests mechanism involves Z
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\item However, questions remain about W
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\end{enumerate}
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\end{frame}
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\begin{frame}{Knowledge Gap}
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\begin{columns}[c]
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\begin{column}{0.6\textwidth}
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\textbf{What We Know:}
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\begin{itemize}
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\item Point 1: Established finding
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\item Point 2: Replicated result
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\item Point 3: General consensus
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\end{itemize}
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\vspace{0.5cm}
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\textbf{What Remains Unknown:}
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\begin{itemize}
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\item \alert{Gap 1:} Critical unknown
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\item \alert{Gap 2:} Methodological limitation
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\item \alert{Gap 3:} Unexplored context
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\end{itemize}
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\end{column}
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\begin{column}{0.4\textwidth}
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\begin{alertblock}{The Problem}
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Existing approaches fail to account for X, limiting our understanding of Y and preventing application to Z.
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\end{alertblock}
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\end{column}
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\end{columns}
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\end{frame}
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\subsection{Research Questions}
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\begin{frame}{Research Objectives}
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\begin{exampleblock}{Overall Goal}
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To investigate how X influences Y under conditions Z, and develop a framework for understanding mechanism W.
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\end{exampleblock}
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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{Aim 1:} Characterize relationship between X and Y
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\begin{itemize}
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\item Hypothesis: X positively correlates with Y
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\end{itemize}
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\item \textbf{Aim 2:} Identify mechanism W mediating X→Y
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\begin{itemize}
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\item Hypothesis: W explains the X-Y relationship
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\end{itemize}
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\item \textbf{Aim 3:} Test generalizability to context Z
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\begin{itemize}
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\item Hypothesis: Effect persists across 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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% METHODS
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%==============================================
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\section{Methods}
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\subsection{Study Design}
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\begin{frame}{Overall Approach}
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\begin{figure}
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\centering
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% \includegraphics[width=0.9\textwidth]{study_design.pdf}
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\framebox[0.8\textwidth][c]{[Study Design Schematic]}
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\caption{Three-phase experimental design}
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\end{figure}
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\begin{itemize}
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\item \textbf{Phase 1:} Observational study (n = 150)
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\item \textbf{Phase 2:} Controlled experiment (n = 80)
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\item \textbf{Phase 3:} Validation in new context (n = 120)
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\end{itemize}
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\end{frame}
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\subsection{Participants and Materials}
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\begin{frame}{Sample Characteristics}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Inclusion Criteria:}
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\begin{itemize}
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\item Age 18-65 years
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\item Criterion 2
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\item Criterion 3
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\end{itemize}
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\vspace{0.3cm}
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\textbf{Exclusion Criteria:}
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\begin{itemize}
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\item Confound 1
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\item Confound 2
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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{table}
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\centering
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\caption{Sample demographics}
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\small
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\begin{tabular}{lc}
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\toprule
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\textbf{Variable} & \textbf{Value} \\
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\midrule
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N & 150 \\
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Age (years) & 32.5 $\pm$ 8.2 \\
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Female (\%) & 58 \\
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Education (years) & 15.2 $\pm$ 2.1 \\
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\bottomrule
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\end{tabular}
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\end{table}
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\end{column}
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\end{columns}
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\vspace{0.3cm}
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\footnotesize Recruitment: University community and online platforms
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\end{frame}
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\subsection{Procedures}
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\begin{frame}{Experimental Procedure}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Session 1 (60 min):}
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\begin{enumerate}
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\item Informed consent
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\item Baseline measures
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\item Training phase (20 min)
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\item Test phase (30 min)
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\end{enumerate}
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\vspace{0.5cm}
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\textbf{Session 2 (45 min):}
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\begin{enumerate}
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\setcounter{enumi}{4}
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\item Follow-up measures
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\item Manipulation (15 min)
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\item Final assessment (25 min)
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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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\begin{figure}
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\centering
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% \includegraphics[width=\textwidth]{procedure_timeline.pdf}
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\framebox[0.9\textwidth][c]{[Timeline Diagram]}
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\caption{Experimental timeline}
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\end{figure}
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\vspace{0.5cm}
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\begin{alertblock}{Key Innovation}
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Novel manipulation technique combining approach A with method B
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\end{alertblock}
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\end{column}
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\end{columns}
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\end{frame}
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\subsection{Analysis}
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\begin{frame}{Statistical Analysis Plan}
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\textbf{Primary Analyses:}
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\begin{itemize}
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\item \textbf{Aim 1:} Linear regression: $Y = \beta_0 + \beta_1 X + \epsilon$
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\item \textbf{Aim 2:} Mediation analysis using bootstrapping (5000 iterations)
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\item \textbf{Aim 3:} Mixed-effects model accounting for context effects
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Secondary Analyses:}
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\begin{itemize}
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\item Sensitivity analyses with different covariates
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\item Subgroup analyses by demographic factors
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\item Exploratory analyses of individual differences
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\end{itemize}
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\vspace{0.5cm}
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\begin{block}{Software}
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R 4.2.1 (lme4, lavaan packages); Python 3.10 (scikit-learn); SPSS 28
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\end{block}
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\end{frame}
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%==============================================
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% RESULTS
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%==============================================
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\section{Results}
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\subsection{Preliminary Analyses}
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\begin{frame}{Data Quality and Assumptions}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Data Screening:}
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\begin{itemize}
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\item Missing data: < 5\% per variable
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\item Outliers: 3 cases removed
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\item Assumptions: All met
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\end{itemize}
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\vspace{0.3cm}
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\textbf{Descriptive Statistics:}
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\begin{itemize}
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\item Variable X: $M = 45.2$, $SD = 8.1$
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\item Variable Y: $M = 67.8$, $SD = 12.3$
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\item Correlation: $r = 0.54$, $p < .001$
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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]{descriptives.pdf}
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\framebox[0.9\textwidth][c]{[Descriptive Plots]}
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\caption{Variable distributions}
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\end{figure}
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\end{column}
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\end{columns}
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\end{frame}
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\subsection{Aim 1 Results}
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\begin{frame}{Aim 1: X Predicts Y}
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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]{aim1_result.pdf}
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\framebox[0.9\textwidth][c]{[Regression Plot]}
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\caption{Relationship between X and Y ($R^2 = 0.29$, $p < .001$)}
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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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\begin{table}
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\centering
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\caption{Regression results}
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\tiny
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\begin{tabular}{lccc}
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\toprule
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\textbf{Predictor} & $\boldsymbol{\beta}$ & \textbf{SE} & \textbf{$p$} \\
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\midrule
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Intercept & 12.45 & 3.21 & < .001 \\
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X & 0.54 & 0.08 & < .001 \\
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Age & 0.12 & 0.05 & .018 \\
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Gender & 2.34 & 1.12 & .038 \\
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\bottomrule
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\end{tabular}
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\end{table}
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\vspace{0.3cm}
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\begin{block}{Key Finding}
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X significantly predicts Y, controlling for demographics
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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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\subsection{Aim 2 Results}
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\begin{frame}{Aim 2: Mediation by W}
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\begin{figure}
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\centering
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% \includegraphics[width=0.8\textwidth]{mediation_model.pdf}
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\framebox[0.7\textwidth][c]{[Mediation Diagram]}
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\caption{Mediation analysis showing W mediates X→Y relationship}
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\end{figure}
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\begin{itemize}
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\item \textbf{Direct effect:} $c' = 0.31$, $p = .021$ (reduced from $c = 0.54$)
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\item \textbf{Indirect effect:} $ab = 0.23$, 95\% CI [0.14, 0.35]
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\item \textbf{Proportion mediated:} 43\% of total effect
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\end{itemize}
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\vspace{0.3cm}
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\alert{W partially mediates the relationship between X and Y}
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\end{frame}
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\subsection{Aim 3 Results}
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\begin{frame}{Aim 3: Generalization to Context Z}
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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]{aim3_context1.pdf}
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\framebox[0.9\textwidth][c]{[Context 1]}
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\caption{Original context}
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\end{figure}
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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]{aim3_context2.pdf}
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\framebox[0.9\textwidth][c]{[Context 2]}
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\caption{New context Z}
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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{Mixed-Effects Model Results:}
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\begin{itemize}
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\item Main effect of X: $\beta = 0.51$, $p < .001$
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\item Context × X interaction: $\beta = -0.08$, $p = .231$ (ns)
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\item \alert{Effect generalizes across contexts}
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\end{itemize}
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\end{frame}
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\subsection{Additional Analyses}
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\begin{frame}{Sensitivity and Robustness Checks}
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\textbf{Alternative Specifications:}
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\begin{itemize}
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\item Result robust to different model specifications
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\item Consistent across multiple imputation methods
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\item Findings hold with/without covariates
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Subgroup Analyses:}
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\begin{table}
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\centering
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\caption{Effect sizes by subgroup}
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\small
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\begin{tabular}{lccc}
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\toprule
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\textbf{Subgroup} & \textbf{$n$} & $\boldsymbol{\beta}$ & \textbf{$p$} \\
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\midrule
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Young (< 30) & 67 & 0.58 & < .001 \\
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Older ($\geq$ 30) & 83 & 0.49 & < .001 \\
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Male & 63 & 0.52 & < .001 \\
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Female & 87 & 0.55 & < .001 \\
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\bottomrule
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\end{tabular}
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\end{table}
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Effect consistent across demographic groups
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\end{frame}
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%==============================================
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% DISCUSSION
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%==============================================
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\section{Discussion}
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\subsection{Summary of Findings}
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\begin{frame}{Key Results Recap}
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\begin{exampleblock}{Main Findings}
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\begin{enumerate}
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\item X significantly predicts Y ($\beta = 0.54$, $p < .001$), explaining 29\% of variance
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\item W mediates 43\% of the X→Y relationship
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\item Effect generalizes to new context Z
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\item Results robust across subgroups and specifications
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\end{enumerate}
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\end{exampleblock}
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\vspace{0.5cm}
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\textbf{These findings:}
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\begin{itemize}
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\item Support our hypotheses
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\item Provide evidence for mechanism W
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\item Extend previous work to new domains
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\item Have implications for theory and practice
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\end{itemize}
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\end{frame}
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\subsection{Interpretation}
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\begin{frame}{Relation to Previous Research}
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Consistent With:}
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\begin{itemize}
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\item Prior findings on X→Y \cite{jones2020}
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\item Theoretical predictions \cite{smith2019}
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\item Meta-analytic trends \cite{meta2021}
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\end{itemize}
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\vspace{0.5cm}
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\textbf{Extensions Beyond:}
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\begin{itemize}
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\item Identifies mechanism W (new)
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\item Tests in context Z (novel)
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\item Larger sample than prior work
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\end{itemize}
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\end{column}
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\begin{column}{0.5\textwidth}
|
||
\textbf{Resolves Contradictions:}
|
||
\begin{itemize}
|
||
\item Explains why Study A found X
|
||
\item Reconciles Studies B and C
|
||
\item Clarifies conditions for effect
|
||
\end{itemize}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\begin{alertblock}{Novel Contribution}
|
||
First study to demonstrate W as mediator and show generalization to Z
|
||
\end{alertblock}
|
||
\end{column}
|
||
|
||
\end{columns}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Mechanisms and Explanations}
|
||
\textbf{Why does X affect Y through W?}
|
||
|
||
\vspace{0.3cm}
|
||
|
||
\begin{enumerate}
|
||
\item<1-> \textbf{Hypothesis 1:} X activates process W
|
||
\begin{itemize}
|
||
\item<1-> Evidence: Temporal precedence in data
|
||
\item<1-> Consistent with neurobiological models
|
||
\end{itemize}
|
||
|
||
\vspace{0.3cm}
|
||
|
||
\item<2-> \textbf{Hypothesis 2:} W is necessary for Y
|
||
\begin{itemize}
|
||
\item<2-> Evidence: Mediation analysis results
|
||
\item<2-> Supported by experimental manipulations
|
||
\end{itemize}
|
||
|
||
\vspace{0.3cm}
|
||
|
||
\item<3-> \textbf{Integrated Model:} X → W → Y pathway
|
||
\begin{itemize}
|
||
\item<3-> Explains 43\% of total effect
|
||
\item<3-> Other pathways remain to be identified
|
||
\end{itemize}
|
||
\end{enumerate}
|
||
\end{frame}
|
||
|
||
\subsection{Implications}
|
||
|
||
\begin{frame}{Theoretical Implications}
|
||
\textbf{Advances to Theory:}
|
||
\begin{itemize}
|
||
\item Refines existing framework by identifying W
|
||
\item Suggests revision of Model XYZ
|
||
\item Provides testable predictions for future work
|
||
\item Integrates previously separate literatures
|
||
\end{itemize}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Broader Scientific Impact:}
|
||
\begin{itemize}
|
||
\item Methodology can be applied to related domains
|
||
\item Framework generalizable to other contexts
|
||
\item Opens new research directions
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Practical Applications}
|
||
\begin{columns}[T]
|
||
|
||
\begin{column}{0.5\textwidth}
|
||
\textbf{Clinical/Applied:}
|
||
\begin{itemize}
|
||
\item Intervention target: W
|
||
\item Assessment tool: Measure X
|
||
\item Treatment planning: Consider Z
|
||
\item Expected benefit: Improvement in Y
|
||
\end{itemize}
|
||
\end{column}
|
||
|
||
\begin{column}{0.5\textwidth}
|
||
\textbf{Policy Implications:}
|
||
\begin{itemize}
|
||
\item Recommendation 1
|
||
\item Recommendation 2
|
||
\item Implementation considerations
|
||
\item Cost-benefit analysis
|
||
\end{itemize}
|
||
\end{column}
|
||
|
||
\end{columns}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\begin{exampleblock}{Translational Path}
|
||
Findings suggest feasibility of intervention targeting W to improve Y in population experiencing X
|
||
\end{exampleblock}
|
||
\end{frame}
|
||
|
||
\subsection{Limitations and Future Directions}
|
||
|
||
\begin{frame}{Limitations}
|
||
\textbf{Study Limitations:}
|
||
\begin{enumerate}
|
||
\item \textbf{Cross-sectional design}: Cannot establish causality definitively
|
||
\begin{itemize}
|
||
\item Future: Longitudinal or experimental design
|
||
\end{itemize}
|
||
|
||
\item \textbf{Sample characteristics}: University students, may limit generalizability
|
||
\begin{itemize}
|
||
\item Future: Community sample, diverse populations
|
||
\end{itemize}
|
||
|
||
\item \textbf{Measurement}: Self-report bias possible for some variables
|
||
\begin{itemize}
|
||
\item Future: Incorporate objective measures
|
||
\end{itemize}
|
||
|
||
\item \textbf{Unmeasured confounds}: Other factors could explain relationships
|
||
\begin{itemize}
|
||
\item Future: Control for additional variables
|
||
\end{itemize}
|
||
\end{enumerate}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Future Research Directions}
|
||
\begin{block}{Immediate Next Steps}
|
||
\begin{itemize}
|
||
\item Replicate in independent sample
|
||
\item Test causal model experimentally
|
||
\item Examine boundary conditions
|
||
\end{itemize}
|
||
\end{block}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Longer-Term Goals:}
|
||
\begin{itemize}
|
||
\item Develop intervention based on findings
|
||
\item Investigate neural mechanisms
|
||
\item Explore individual differences
|
||
\item Translate to applied settings
|
||
\end{itemize}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Collaborations Sought:}
|
||
\begin{itemize}
|
||
\item Experts in domain A for validation
|
||
\item Clinical partners for translation
|
||
\item Methodologists for advanced analyses
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% CONCLUSION
|
||
%==============================================
|
||
|
||
\section{Conclusion}
|
||
|
||
\begin{frame}{Conclusions}
|
||
\begin{exampleblock}{Key Contributions}
|
||
\begin{enumerate}
|
||
\item Demonstrated robust X→Y relationship
|
||
\item Identified W as mediating mechanism
|
||
\item Showed generalizability across contexts
|
||
\item Provided framework for future research
|
||
\end{enumerate}
|
||
\end{exampleblock}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\begin{block}{Take-Home Message}
|
||
Our findings reveal that X influences Y through mechanism W, providing new understanding of this important process and suggesting potential intervention targets.
|
||
\end{block}
|
||
|
||
\vspace{0.5cm}
|
||
|
||
\textbf{Impact:}
|
||
\begin{itemize}
|
||
\item Theoretical advancement in understanding X→Y
|
||
\item Practical implications for interventions
|
||
\item Foundation for future research program
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
\begin{frame}[plain]
|
||
\begin{center}
|
||
{\LARGE \textbf{Thank You}}
|
||
|
||
\vspace{1cm}
|
||
|
||
{\Large Questions \& Discussion}
|
||
|
||
\vspace{1.5cm}
|
||
|
||
\begin{columns}
|
||
\begin{column}{0.6\textwidth}
|
||
\textbf{Contact Information:}\\
|
||
Your Name\\
|
||
Department of Your Field\\
|
||
University Name\\
|
||
\texttt{yourname@university.edu}\\
|
||
\url{https://yourlab.university.edu}
|
||
\end{column}
|
||
|
||
\begin{column}{0.4\textwidth}
|
||
% QR code to lab website or paper
|
||
% \includegraphics[width=4cm]{qrcode_website.png}\\
|
||
% {\small Scan for more info}
|
||
\end{column}
|
||
\end{columns}
|
||
|
||
\vspace{1cm}
|
||
|
||
{\footnotesize
|
||
\textbf{Acknowledgments:}\\
|
||
Funding: NSF Grant \#12345, NIH Grant R01-67890\\
|
||
Lab Members: Person A, Person B, Person C\\
|
||
Collaborators: Prof. X (University Y), Dr. Z (Institution W)
|
||
}
|
||
\end{center}
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% BACKUP SLIDES
|
||
%==============================================
|
||
|
||
\appendix
|
||
|
||
\begin{frame}{Backup: Full Regression Table}
|
||
\begin{table}
|
||
\centering
|
||
\caption{Complete regression results with all covariates}
|
||
\footnotesize
|
||
\begin{tabular}{lcccc}
|
||
\toprule
|
||
\textbf{Predictor} & $\boldsymbol{\beta}$ & \textbf{SE} & \textbf{$t$} & \textbf{$p$} \\
|
||
\midrule
|
||
Intercept & 12.45 & 3.21 & 3.88 & < .001 \\
|
||
X (primary predictor) & 0.54 & 0.08 & 6.75 & < .001 \\
|
||
Age & 0.12 & 0.05 & 2.40 & .018 \\
|
||
Gender (female) & 2.34 & 1.12 & 2.09 & .038 \\
|
||
Education & 0.45 & 0.31 & 1.45 & .149 \\
|
||
Covariate Z & -0.18 & 0.09 & -2.00 & .047 \\
|
||
\midrule
|
||
$R^2$ & \multicolumn{4}{c}{0.35} \\
|
||
Adjusted $R^2$ & \multicolumn{4}{c}{0.32} \\
|
||
$F$(5,144) & \multicolumn{4}{c}{15.48, $p < .001$} \\
|
||
\bottomrule
|
||
\end{tabular}
|
||
\end{table}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Backup: Alternative Analysis}
|
||
\begin{figure}
|
||
\centering
|
||
% \includegraphics[width=0.75\textwidth]{sensitivity_analysis.pdf}
|
||
\framebox[0.7\textwidth][c]{[Sensitivity Analysis Results]}
|
||
\caption{Results robust across different model specifications}
|
||
\end{figure}
|
||
\end{frame}
|
||
|
||
\begin{frame}{Backup: Detailed Methods}
|
||
\textbf{Measurement Details:}
|
||
\begin{itemize}
|
||
\item \textbf{Variable X:} Scale name (Author, Year)
|
||
\begin{itemize}
|
||
\item 12 items, 5-point Likert scale
|
||
\item Cronbach's $\alpha = 0.89$
|
||
\item Example item: "Statement here"
|
||
\end{itemize}
|
||
|
||
\item \textbf{Variable Y:} Assessment tool
|
||
\begin{itemize}
|
||
\item Performance-based measure
|
||
\item Inter-rater reliability: ICC = 0.92
|
||
\item Range: 0-100
|
||
\end{itemize}
|
||
|
||
\item \textbf{Mediator W:} Experimental manipulation check
|
||
\begin{itemize}
|
||
\item Manipulation successful: $t(149) = 8.45$, $p < .001$
|
||
\item Effect size: $d = 1.38$
|
||
\end{itemize}
|
||
\end{itemize}
|
||
\end{frame}
|
||
|
||
%==============================================
|
||
% REFERENCES
|
||
%==============================================
|
||
|
||
\begin{frame}[allowframebreaks]{References}
|
||
\printbibliography
|
||
\end{frame}
|
||
|
||
\end{document}
|