Influence of Unsanctioned Occupations on Occupational Disruption Among United States Military Members
Event Type
Presentation
Start Date
12-1-2023 9:00 AM
End Date
12-1-2023 12:00 PM
Description
Purpose: Researchers explored the influence of unsanctioned occupations on occupational disruption among U. S. military members by deploying the Scale of Occupational Disruption (SOD). The scale was designed to probe for potential areas of disruption such as: (a) finances, (b) exercise, (c) daily routine, (d) personal relationships, (e) time spent with others, (f) community activities, (g) hobbies, (h) spirituality/ religion, (i) academic performance, and (j) eating habits.
Methods: Researchers selected a mixed methods embedded design that included qualitative data to help further answer the research question of the largely quantitative study. A survey was deployed to the participants via convenience and snowball sampling consisting of yes/no, multiple choice, and check all that apply questions. The SOD was then deployed to those who indicated they participated in at least one unsanctioned occupation. Of the sixty participants, one person did not complete the survey, one person did not meet inclusion criteria, and four did not select an unsanctioned occupation to qualify for the SOD. Numerical data was imported to SPSS and the qualitative descriptive portion was imported to excel for thematic analysis. Normality testing, Pearson product-moment correlation, spearman’s rho, and post-hoc analysis was conducted.
Results: The average score on the SOD was 20.28, which indicated that most participants selected slight disruption (2) on average for each item on SOD. There was a positive correlation between the sum of the SOD scores and each area of disruption for all ten areas. All but one area of disruption had a normal distribution of data. Amongst the ten items of the SOD, Table 2 demonstrated a moderate to high Pearson’s correlation coefficient above 0.5 for nine of ten items, all with a p-value of < 0.001. There is a mid to high correlation between SOD scores and areas of disruption with a large effect size (ES) due to the large number of participants. The themes identified included (1) healthy habits, (2) balance and time restrictions, (3) comradery and relationships, and (4) no disruption.
Conclusions: Based on the correlation values found in this study, all areas of disruption were found to have high correlation values and were generally clarified by answers within the embedded question of the SOD. These findings suggest increased opportunities to prevent undue disruption and improve health and overall success in occupational performance.
Recommended Citation
Carrasco, R., Cassidy, H., Chappel, A., Rice, R., & Russo, T. (2023), Influence of Unsanctioned Occupations on Occupational Disruption Among United States Military Members, Presentation, Tenth Annual Research Colloquium, https://nsuworks.nova.edu/ot_colloquium/Tenth/events/1
Influence of Unsanctioned Occupations on Occupational Disruption Among United States Military Members
Purpose: Researchers explored the influence of unsanctioned occupations on occupational disruption among U. S. military members by deploying the Scale of Occupational Disruption (SOD). The scale was designed to probe for potential areas of disruption such as: (a) finances, (b) exercise, (c) daily routine, (d) personal relationships, (e) time spent with others, (f) community activities, (g) hobbies, (h) spirituality/ religion, (i) academic performance, and (j) eating habits.
Methods: Researchers selected a mixed methods embedded design that included qualitative data to help further answer the research question of the largely quantitative study. A survey was deployed to the participants via convenience and snowball sampling consisting of yes/no, multiple choice, and check all that apply questions. The SOD was then deployed to those who indicated they participated in at least one unsanctioned occupation. Of the sixty participants, one person did not complete the survey, one person did not meet inclusion criteria, and four did not select an unsanctioned occupation to qualify for the SOD. Numerical data was imported to SPSS and the qualitative descriptive portion was imported to excel for thematic analysis. Normality testing, Pearson product-moment correlation, spearman’s rho, and post-hoc analysis was conducted.
Results: The average score on the SOD was 20.28, which indicated that most participants selected slight disruption (2) on average for each item on SOD. There was a positive correlation between the sum of the SOD scores and each area of disruption for all ten areas. All but one area of disruption had a normal distribution of data. Amongst the ten items of the SOD, Table 2 demonstrated a moderate to high Pearson’s correlation coefficient above 0.5 for nine of ten items, all with a p-value of < 0.001. There is a mid to high correlation between SOD scores and areas of disruption with a large effect size (ES) due to the large number of participants. The themes identified included (1) healthy habits, (2) balance and time restrictions, (3) comradery and relationships, and (4) no disruption.
Conclusions: Based on the correlation values found in this study, all areas of disruption were found to have high correlation values and were generally clarified by answers within the embedded question of the SOD. These findings suggest increased opportunities to prevent undue disruption and improve health and overall success in occupational performance.