Related Experiment Video
Updated: Jun 18, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Introducing the Multidimensional Toolkit for the Assessment of Play in Schools (M-TAPS): a reliability study
Helen Dodd1,2, Rachel Nesbit1, Lily FitzGibbon1,3
1School of Psychology and Clinical Language Sciences, University of Reading, Reading, England, UK.
Background:
Despite increasing interest in changing and improving play opportunities in schools, there is lack of openly available methods for evaluating play quantitatively. Existing measures often focus on physical activity during play activities or prioritise the mapping of locations within which play occurs rather than evaluating play itself.
Methods:
This paper introduces the Multidimensional Toolkit for the Assessment of Play in Schools (M-TAPS) and provides the results of an initial study examining the utility and reliability of the toolkit. The M-TAPS includes observations of individual children and scan observations of predefined areas of the playground; children's activities, adventure/risk level and affect are coded. In addition, the M-TAPS includes child self-report questionnaires about emotions during playtime and playtime activities.
Results:
The reliability study provided evidence of good reliability between coders and for children's self-report of their emotions during playtime. There was some indication of validity between child self-report and coder observation.
Conclusions:
The paper suggests that the M-TAPS may be useful for research focused on improving children's play in schools where a quantitative measure is sought. The M-TAPS provides a flexible tool for supporting researchers with the results highlighting how the M-TAPS can provide insights into schools playtimes and how observation can be combined with children's self-report. There is room for further development and refinement of the toolkit.
Related Concept Videos
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
Microsoft Excel: Student's t-Test
To conduct a t-test in Excel, use the T.TEST function or the "Data Analysis...

