Eigene Änderungen vor Pull

manuscript-concordance.tex

@@ -1,2 +1,2 @@
-\Sconcordance{concordance:manuscript.tex:manuscript.Rnw:1 147 1 1 2 1 0 1 1 7 0 1 2 1 %
+\Sconcordance{concordance:manuscript.tex:manuscript.Rnw:1 177 1 1 2 1 0 1 1 7 0 1 2 1 %
 1}

manuscript.Rnw

@@ -134,6 +134,10 @@ Moreover, a codebook explaining variable abbreviations and containing informatio
 
 \section{Technical Validation}
 
+Wave 1 was conducted shortly before iOs 18?? was published. -> were there any other external events potentially influencing the survey?
+
+* Analysis of sample differences across waves -> was the sample equally distributed regarding sociodemographic characteristics?
+
 * attention check
 * bot detection question
 * forced to respond
@@ -144,6 +148,11 @@ Moreover, a codebook explaining variable abbreviations and containing informatio
 
 \section{Usage Notes (optional)}
 
+Maybe here elaborate on limitations:
+* no data on no-users for wave 1-3
+* not representative for age/gender/education/region due to focus on users
+* online survey: inattentive participants, fatigue effects especially in wave 1 and 6 (more variables)
+* rentention rate/dropout rate across waves
 % * Provide optional information that may assist other researchers in reusing the
 %   data.
 % * Include additional technical notes on how to access or process the data.

manuscript.tex

@@ -70,12 +70,20 @@ Longitudinal studies like this are needed to capture the evolving perceptions of
 % * Detail the data acquisition methods.
 % * Explain any computational processing involved.
 %
+\subsection{e.g.: Participants and Data Collection}
 * Prolific
 * Invitation
 * time and intervals
 * retention rate
 * second sample -> invitation of wave1 participants
 * focus on users -> exclusion of nousers without intention
+* ethics approval
+
+\subsection{e.g.: Measurements}
+* List of all measures by wave
+
+We collected sociodemographic information, including, age, gender, educational level, and household income from all participants at wave 1.
+
 % Input Data for Secondary Datasets
 %
 % * Provide detailed descriptions of all input data.
@@ -111,6 +119,10 @@ Longitudinal studies like this are needed to capture the evolving perceptions of
 
 \section{Data Records}
 
+Data records for each of the six waves are available in csv format at (tbd) together with the R/python scripts for data anonymization, data cleaning, and data preprocessing. 
+That is, firstly the data was anonymized by removing participants' Prolific IDs and unused variables, empty variables resulting from faulty questionnaire programming, and xy were removed. Thus (filename) represents the cleaned and anonymized raw data, including the single items of each measurement. Second, variable names were harmonized and scales were calculated, resulting an the preprocessed data set xy, ready for analyses across scales.
+Moreover, a codebook explaining variable abbreviations and containing information about the waves in which the variable was collected (what else?) is available at (tbd).
+
 % * Explain what the dataset contains.
 % * Specify the repository where the dataset is stored.
 % * Provide an overview of the data files and their formats.
@@ -171,7 +183,7 @@ Hier ist ein R-Chunk:
 \end{Sinput}
 \begin{Soutput}
     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
--3.31070 -0.70017  0.02192 -0.05356  0.66420  2.06854 
+-2.22278 -0.52719  0.10680  0.07778  0.82073  2.77297 
 \end{Soutput}
 \end{Schunk}