We have continued to update our online analysis tools to provide more convenient, comprehensive, and easily understood analysis of your data.

As this ongoing development process continues, use of terms has evolved. Please note the table of terms and calculations below. These describe the usage of terms within the web analysis tools, which may not match with the usage of terms within the app itself.

**Please Note:** These updated tools utilized the entire output of your exported session, unlike some previous versions used only a portion of the output.

### Session Analysis

Session Analysis offers a range of metrics with which to explore your data, including information about event frequency, rate, and relative frequency.

Additionally Interval analyses are performed using the pre-determined Interval for data that was collected using an Interval mode, or a post-hoc Interval length specified at the time of analysis.

A comprehensive Conditional Probability analysis is performed on data with a pre-determined or post-hoc Interval. Each button is compared to every other button as a potential Antecedent or Consequence in a series of concise tables.

### Reliability Analysis

Reliability Analysis accepts two sets of data, one called the Reference, the other called the Comparison. These two files are examined for Inter-Observer Agreement (IOA) via multiple methods.

#### Online Analysis Terms and Calculations

#### Session Metrics

*Observation Duration*

Length of time which recording an event was possible

*Interval Length*

Length of time in seconds for each interval

#### Per-Button Metrics

*Count*

Simple frequency

*Count/Minute*

Count/ (Observation Duration)

*Total Duration*

Sum of all active time for a Duration button

*Duration Proportion*

(Total Duration) / (Observation Duration)

*Average Duration*

(Total Duration) / (Count)

*Min Duration*

Shortest period of time a Duration button was active

*Max Duration*

Longest period of time a Duration button was active

*Whole Interval*

Count of how many intervals in which a Duration button persisted from prior to interval start until after it’s end

*Whole Interval Proportion*

(Whole Interval) / (Total Duration / Interval Length)

*Partial Interval*

Count of how many intervals for which a button was active, even for an instant

*Partial Interval Proportion*

(Partial Interval) / (Total Duration / Interval Length)

#### Button Comparison Metrics

*Count Proportion*

(Count) / (Sum of Count for all buttons)

#### Category Comparison Metrics

*Color Count Proportion*

Count/(Sum of Count for all buttons of the same color/category)

#### Button Comparison Conditional Probability

*Antecedent Conditional Probability*

(Count of Button_{X}’s Partial Intervals for which Button_{Y} has a partial interval in the immediately prior interval) / (Partial Interval of Button_{X})

*Antecedent Proportion*

(Count of Button_{X}’s Partial Intervals for which Button_{Y} has a partial interval in the immediately prior interval) / (Partial Interval of Button_{Y})

*Consequence Conditional Probability*

(Count of Button_{X}’s Partial Intervals for which Button_{Y} has a partial interval in the immediately following interval) / (Partial Interval of Button_{X})

*Consequence Proportion*

(Count of Button_{X}’s Partial Intervals for which Button_{Y} has a partial interval in the immediately following interval) / (Partial Interval of Button_{Y})

*Co-occurance*

(Count of Button_{X}’s Partial Intervals for which Button_{Y} has a partial interval in the same interval) / (Partial Interval of Button_{Y})

#### Inter-Observer Summary Agreement

*Count Event Reliability*

(Count of the Reference Button) / (Count of the Comparison Button)

*Duration Reliability*

(Total Duration of Reference Button) / (Total Duration of Comparison Button)

*Count Interval Reliability*

(Partial Interval of Reference Button) / (Partial Interval of Comparison Button)

#### Inter-Observer Occurrence Matching Agreement

*Partial Interval Reliability*

(Count of Intervals in which the Reference and Comparison share the same Partial Interval status) / (Total Intervals)

*Partial Interval Reliability ϰ*

Cohen’s Kappa formula: (Pr(a) – Pr(e)) / (1 – Pr(e)), using the Partial Interval Reliability conditions for Agreement/Disagreement

*Whole Interval Reliability*

(Count of Intervals in which the Reference and Comparison share the same Whole Interval status) / (Total Intervals)

*Whole Interval Reliability ϰ*

Cohen’s Kappa formula: (Pr(a) – Pr(e)) / (1 – Pr(e)), using the Partial Interval Reliability conditions for Agreement/Disagreement