Protobi's Autogroup feature organizes elements into groups based on the name of the data column, recovering survey organization that may be lost in the datafile. Background SPSS data files are great for market research data because they contain not only the response data, but also metadata, such as text corresponding to the questions and response op...

Project pages are one good way to document a Protobi project for your team and clients.   This can include background information on research goals, sample, fielding, as well as details about data processing or open questions.  It's up to you. Markdown editor This editor uses [Markdown](https://en.support.wordpress.com/markdown-quick-reference/) syn...

Protobi uses standard commonly accepted statistical methods for identifying statistically significant differences: Z-test for proportions between independent samples T-tests for means between independent samples Chi-square test for crosstabs McNemar's test for proportions between paired samples Paired T-test for proportions between paired samples Ho...

It is now possible to see – and edit – the data table underlying charts Protobi.    This is a nascent feature and currently applies only to charts that use from Plotly library (e.g. column charts, bar charts, pie charts, line charts).  Support for other chart types is in development.  It is also not yet fully tested, so please let our team know of a...

     Survey data is not just the respondent's answers (the "data") but just as importantly is also the question text, response options and survey structure ( the "metadata").    Data formats such as SPSS (.sav) are nice as they include both.  Protobi can read the variable labels and value formats from SPSS files and even recover the survey structure...

Protobi has a new Notes feature that may help you coordinate revisions with your team and clients.   For any element, hover over the header to see the notes icon in the upper right: Press the icon to create a note to the element: If an element has at least one note, the icon will appear with a count.   Press the icon to see all notes attached to the...

Keeping your research data secure is essential, and you also need your team and clients to access it easily.  Okta provides a simple sophisticated way to organize your users, projects, and permissions. If your organization is already using Okta and Protobi, this article shows how to link the two. Create Protobi as a new application First, login to y...

Cumulative line charts show the cumulative total by value. These can be useful for tracking completion dates, height-weight curves, or Van Westendorp price curves: To create one, press the edit icon and select "Chart type..." from the menu to bring up the chart dialog, then select "cumul": Cumulative line charts can also be cross-tabbed, in this cas...

You can customize the headlines, titles, footnotes and formats for any element. The most direct way to edit the headline, title, display key or footnote is to press on them, and when they turn editable, type in them directly. More properties dialog... Another way to edit these properties is to press the edit icon and select "More properties". This w...

Use the Element properties dialog to change element labels and calculate ratios. By default, Protobi assumes each element corresponds to a data column with the same name as the element's key attribute, and uses that value directly.  But it's possible to override this in many ways. Access the Advanced properties dialog by pressing on the element icon...

Surveys often elicit the US State of residence from respondents. It's possible to display these as stylized US maps. Image Caption Initially Protobi displays state much like any other variable, as a bar chart: To display states as  geographical shapes as in the first image at top, select "Edit JSON ..." from the edit icon and set the attribute "char...

Protobi defines each element as a set of parameters written in JSON syntax. An example is below: { "key": "Q2",     "displayKey": "Question 2. Opinions", "title": "Do you agree with the following statements?", "children": ["Q2a", "Q2b", "Q2c", "Q2d","Q2e"], "format": { "1":  "Extremely favorable", "2": "Somewhat favorable",      "3": "Somewhat unfav...

Open-end responses in surveys are great as respondents can answer in their own words.  But many ideas may represent the same basic concept.  For analysis it can be useful to group them into broader countable categories.   Protobi has a few features to simplify the process of coding text verbatims: Simple recode dialog Recode (advanced) Simple recode...

There are several ways you can remove an element from view. Select an element or group by pressing its title then press the Del key: Hide Hide element will mark the element as hidden, but otherwise keep it in place. Users with edit or admin privileges will still see the element in the tree on the left greyed out with a strikethrough line, so that it...

Protobi can create Kaplan-Meier survival curves based on date/time data. These are useful to describe distributions of time intervals, particularly when the intervals may be ongoing. For example, below shows the distribution of time on first line regimen from a patient chart review. The challenge is that many patients who started first line therapy ...