Event Title

Survival Analysis for Online Learning Data

Location

NMOCA 217

Start Date

3-8-2017 2:00 PM

End Date

3-8-2017 3:00 PM

Description

Everything exists in time. Survival analysis is a statistical technique long used in the health sciences. As time-to-event analysis, it enables the asking of questions such as How much time passes before (an event) occurs, if it occurs, and what does this data suggest about various in-world phenomena? In an online learning context, with LMS data, questions such as, How long does it take for an online learner to (find his or her rhythm) in an online course? (if it happens), could be answered.
This presentation will introduce survival analysis, its assumptions, its practices (using SPSS), its strengths and limitations, data censoring (to avoid survivorship bias), and ways to interpret related linegraphs and other data visualizations.

 
Aug 3rd, 2:00 PM Aug 3rd, 3:00 PM

Survival Analysis for Online Learning Data

NMOCA 217

Everything exists in time. Survival analysis is a statistical technique long used in the health sciences. As time-to-event analysis, it enables the asking of questions such as How much time passes before (an event) occurs, if it occurs, and what does this data suggest about various in-world phenomena? In an online learning context, with LMS data, questions such as, How long does it take for an online learner to (find his or her rhythm) in an online course? (if it happens), could be answered.
This presentation will introduce survival analysis, its assumptions, its practices (using SPSS), its strengths and limitations, data censoring (to avoid survivorship bias), and ways to interpret related linegraphs and other data visualizations.