Recognition of similarities (ROS): A methodological approach to analysing and characterising patterns of daily occupations
(2004) In Journal of Occupational Science 11(1). p.3-13- Abstract
- It has been proposed that patterns of daily occupations that promote health or cause illness should be possible to identify. By describing patterns as consisting of main, hidden, and unexpected occupations, this study aimed to develop and to evaluate a process for analysing and characterising subjectively perceived patterns of daily occupations.
Yesterday diaries describing one day of 100 working married mothers were collected through interviews. The diaries were transformed into time-and-occupation graphs. An analysis based on visual interpretation of the patterns was performed. The graphs were grouped into the categories low, medium, or high complexity. In order to identify similarities the graphs were then compared both... (More) - It has been proposed that patterns of daily occupations that promote health or cause illness should be possible to identify. By describing patterns as consisting of main, hidden, and unexpected occupations, this study aimed to develop and to evaluate a process for analysing and characterising subjectively perceived patterns of daily occupations.
Yesterday diaries describing one day of 100 working married mothers were collected through interviews. The diaries were transformed into time-and-occupation graphs. An analysis based on visual interpretation of the patterns was performed. The graphs were grouped into the categories low, medium, or high complexity. In order to identify similarities the graphs were then compared both pair-wise and group-wise. Finally, the complexity and the similarities perspectives were integrated, identifying the most typical patterns of daily occupations representing low, medium, and high complexity.
The visual differences in complexity were evident. However, in order to validate the ROS process developed, a measure expressing the probability of change was computed and was found to differ statistically significantly between the three groups, supporting the validity of the ROS process. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/798537
- author
- Erlandsson, Lena-Karin LU ; Rögnvaldsson, Thorsteinn and Eklund, Mona LU
- organization
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- occupational therapy, methodology, pattern of occupation
- in
- Journal of Occupational Science
- volume
- 11
- issue
- 1
- pages
- 3 - 13
- publisher
- School of Occupational Therapy
- external identifiers
-
- scopus:85009637010
- ISSN
- 1442-7591
- language
- English
- LU publication?
- yes
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Division of Occupational Therapy (Closed 2012) (013025000), The Vårdal Institute (016540000)
- id
- 96f1e1b6-c02d-489d-bb67-5b52c00b621e (old id 798537)
- alternative location
- http://www.jos.edu.au/article.asp?id=165
- date added to LUP
- 2016-04-01 16:24:51
- date last changed
- 2022-04-22 21:51:50
@article{96f1e1b6-c02d-489d-bb67-5b52c00b621e, abstract = {{It has been proposed that patterns of daily occupations that promote health or cause illness should be possible to identify. By describing patterns as consisting of main, hidden, and unexpected occupations, this study aimed to develop and to evaluate a process for analysing and characterising subjectively perceived patterns of daily occupations. <br/><br> Yesterday diaries describing one day of 100 working married mothers were collected through interviews. The diaries were transformed into time-and-occupation graphs. An analysis based on visual interpretation of the patterns was performed. The graphs were grouped into the categories low, medium, or high complexity. In order to identify similarities the graphs were then compared both pair-wise and group-wise. Finally, the complexity and the similarities perspectives were integrated, identifying the most typical patterns of daily occupations representing low, medium, and high complexity.<br/><br> The visual differences in complexity were evident. However, in order to validate the ROS process developed, a measure expressing the probability of change was computed and was found to differ statistically significantly between the three groups, supporting the validity of the ROS process.}}, author = {{Erlandsson, Lena-Karin and Rögnvaldsson, Thorsteinn and Eklund, Mona}}, issn = {{1442-7591}}, keywords = {{occupational therapy; methodology; pattern of occupation}}, language = {{eng}}, number = {{1}}, pages = {{3--13}}, publisher = {{School of Occupational Therapy}}, series = {{Journal of Occupational Science}}, title = {{Recognition of similarities (ROS): A methodological approach to analysing and characterising patterns of daily occupations}}, url = {{http://www.jos.edu.au/article.asp?id=165}}, volume = {{11}}, year = {{2004}}, }