3 Commits

2 changed files with 20 additions and 20 deletions

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@@ -214,7 +214,7 @@ TLDR: Investigation of the efficacy of two cognitive behavior modification proce
}
@article{schuman_effort_1985,
title = {Effort and {Reward}: {The} {Assumption} that {College} {Grades} {Are} {Affected} by {Quantity} of {Study}*},
title = {Effort and {Reward}: {The} {Assumption} that {College} {Grades} {Are} {Affected} by {Quantity} of {Study}},
volume = {63},
shorttitle = {Effort and {Reward}},
abstract = {The relation between college grades and self-reported amount of effort was examined in four major and several minor investigations of undergraduates in a large state university. Grades were operationalized mainly by using grade point average (GPA), though in one investigation grades in a particular course were the focus. Effort was measured in several different ways, ranging from student estimates of typical study over the term to reports of study on specific days. Despite evidence that these self-reports provide meaningful estimates of actual studying, there is at best only a very small relation between amount of studying and grades, as compared to the considerably stronger and more monotonic relations between grades and both aptitude measures and self-reported class attendance. The plausible assumption that college grades reflect student effort to an important extent does not receive much support from these investigations. This raises a larger question about the extent to which rewards are linked to effort in other areas of life—a connection often assumed but seldom investigated.},

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@@ -1,4 +1,6 @@
\documentclass[journal]{IEEEtran}
\documentclass[a4paper, journal]{IEEEtran}
\usepackage[left=1.57cm,right=1.57cm,top=1.8cm,bottom=1.57cm]{geometry}
\usepackage{amsmath,amsfonts}
\usepackage{siunitx}
@@ -27,7 +29,7 @@
\def\@maketitle{%
\newpage
\null
\vspace*{-4mm}
\vspace*{-3mm}
\begin{center}%
{\Huge \linespread{0.9}\selectfont \@title \par}%
{\large \lineskip .5em%
@@ -36,7 +38,7 @@
\end{tabular}
\par}%
\end{center}%
\vspace*{-8mm}
\vspace*{-3mm}
}
\makeatother
@@ -90,7 +92,7 @@
\begin{document}
\title{\vspace{-3mm}The Effect of the Choice of Hydration Strategy on
\title{The Effect of the Choice of Hydration Strategy on
Average Academic
Performance}
@@ -129,8 +131,6 @@ of the Choice of Hydration Strategy on Average Academic Performance}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
\vspace*{-5mm}
%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Introduction}
@@ -138,7 +138,7 @@ of the Choice of Hydration Strategy on Average Academic Performance}
\IEEEPARstart{T}{he} concepts of hydration and study have always been
tightly interwoven. As an example, an investigation was once
conducted by Bell Labs into the productivity of their employees that
conducted by Bell Labs into the productivity of their employees, that
found that ``workers with the most patents often shared lunch or
breakfast with a Bell Labs electrical engineer named Harry Nyquist''
\cite{gertner_idea_2012}, and we presume that they also paired their
@@ -156,7 +156,7 @@ performance of KIT students.
Over a period of one week, we monitored the use of the water
dispenser on the ground floor of the KIT library at random times
during the day. The experiment comprised two parts, a system
during the day. The experiment comprised two parts: a system
measurement to determine the flowrate of the water dispenser, and a
behavioural measurement, i.e., a record of participants' chosen
hydration strategies: $S_\text{L}$ denotes pressing the left
@@ -172,7 +172,7 @@ strategy, for the behavioural measurement $113$ in total.
\begin{figure}[H]
\centering
\vspace*{-4mm}
\vspace*{-2mm}
\begin{tikzpicture}
\begin{axis}[
width=0.8\columnwidth,
@@ -198,7 +198,7 @@ strategy, for the behavioural measurement $113$ in total.
\end{axis}
\end{tikzpicture}
\vspace*{-3mm}
\vspace*{-2mm}
\caption{Flow rate of the water dispenser depending on the
hydration strategy.}
@@ -206,14 +206,13 @@ strategy, for the behavioural measurement $113$ in total.
\vspace*{-2mm}
\end{figure}
Fig. \ref{fig:System} shows the results of the system measurement. We
observe that $S_\text{L}$ is the slowest strategy, while $S_\text{R}$
and $S_\text{B}$ are similar. Due to the small sample size and the
unknown distribution, the test we chose to verify this observation is
a Mann Whitney U test. We found that $S _\text{L}$ was slower than
$S_\text{R}$ with a significance of $p < 0.0001$, while no
Fig. \ref{fig:System} shows the results of the system measurement.
To investigate the difference in flowrate between strategies, we used
a Mann Whitney U test, because of its nonparametric nature.
We found that $S _\text{L}$ was slower than
$S_\text{R}$ with a significance of $p < 0.01$, while no
statistically significant difference was found between $S_\text{R}$ and
$S_\text{B}$. The results of the behavioural measurement can be seen in
$S_\text{B}$. The results of the behavioural measurement are shown in
Fig. \ref{fig:Behavior}.
\begin{figure}[H]
@@ -242,10 +241,11 @@ Fig. \ref{fig:Behavior}.
\end{axis}
\end{tikzpicture}
\vspace*{-3mm}
\vspace*{-2mm}
\caption{Distribution of the choice of hydration strategy.}
\label{fig:Behavior}
\vspace*{-1mm}
\end{figure}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@@ -258,7 +258,7 @@ the time spent waiting as well as the time dispensing water, is
\cite[Section 14.3]{stewart_probability_2009}%
%
\begin{align*}
W = E\mleft\{ S \mright\} + \frac{\lambda E\mleft\{ S^2
W = E\mleft\{ S \mright\} + \frac{\lambda \cdot E\mleft\{ S^2
\mright\}}{2\mleft( 1-\rho \mright)}
,%
\end{align*}%