Sample Selector

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 dataset
• 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".

Read more about the Sample Selector

Files

Add or view the following types of files by clicking on the subtabs:

• Papers
• External Analyses
• Files

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 page.

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 secondary analyses.

• 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)
• Other analysis artifacts (Files)
• Scanned pre and posttests (Files)

Read more about the Files page.