Sample Selector is a tool for creating and editing
samples, or groups of data you compare across—they're
not "samples" in the statistical sense, but more like filters.
By default, a single sample exists: "All Data". With the Sample
Selector, you can create new samples to organize your data.
You can use samples to:
Compare across conditions
Narrow the scope of data analysis to a specific time range,
set of students, problem category, or unit of a curriculum (for example)
A sample is composed of one or more filters, specific
conditions that narrow down your sample.
Creating a sample
The general process for creating a sample is to:
Add a filter from the categories at the left to the composition
area at the right
Modify the filter to select the subset of data you're interested
in, saving it when done
View the sample preview table to see the effect of adding your filter,
making sure you don't have an empty set (ie, a filter or combination
of filters that exclude all transactions).
Name and describe the sample
Decide whether to share the sample with others who can view the
Save the sample
The effect of multiple filters
DataShop interprets each filter after the first as an additional
restriction on the data that is included in the sample. This is also known
as a logical "AND". You can see the results of multiple filters in the
sample preview as soon as all filters are "saved".
Add or view the following types of files by clicking on the subtabs:
Click on the "Upload" button to add a file. In the window that pops up, browse
for the paper, fill in the fields and then click the Upload button to add the file.
Don't see the "Upload" button?
To add or modify files for a dataset, your account needs to be given permission by the
project admin (often the PI). If you don't have such access already, find the name of the
project on the private datasets page and click
Request Access. Be sure to select the "edit" access type. If you already
have "view" access, you can request "edit" access from the project's permissions
What's appropriate here?
Below are some examples of files that may be useful to others and which subtab they should go on,
but feel free to upload whatever might be useful for your research group or others performing
A paper that references data in this dataset (Papers)
A file that provides a mapping from the DataShop anonymous user ID to the original user ID
for each student, useful if you are an instructor or are trying to compare student performance
on pencil-and-paper pre/posttests completed in a school (Files)
Audio/visual artifacts gathered during the course or study (Files)
Statistical analyses (eg, from R, SPSS) (External Analyses)