Median values for each item of the PQAYS, from 2019-2021, by program.
These item-by-item medians primarily serve as a reference and are provided for completion. I think reviewing the data at a sub-scale level is much more informative as 1) more data are aggregated and therefore there is more data to support the finding, 2) there are fewer data points to consider which is helpful in understanding higher-level program insights, and 3) looking at the original scale, I am not sure it was intended be used at an item-by-item level (i.e., it seems as though the intent was to measure program performance based on the 8 sub-scales).
In my mind this would serve as an appendix doc or an internal reference document if needed.
The one thing to note I think – there seems to be, across many programs and individual items/sub-scales, a dip in 2021.
– After speaking to MW & BH, this is likely related to 2021 programming being virtual. As such, the last section of this report compares PQAYS scores, by sub-scale, between in-person and virtual settings.
PQAYS data for sub-scale 1a, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 1.1a - Hazard free | 1.2a - Appropriate space | 1.3a - Supervision provided | 1.4a - First aid available | 1.5a - Appropriate equipment | 1.6a - Positive health | 1.7a - Distraction free | 1.8a - Injury response |
|---|---|---|---|---|---|---|---|---|---|
| Ball hockey | 2019 | 5.0 | 5.0 | 5.0 | 5 | 4.0 | 3.0 | 3.0 | 3.5 |
| Ball hockey | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 4.0 | NA | NA |
| Basketball | 2019 | 3.0 | 5.0 | 5.0 | 5 | 5.0 | 4.0 | 4.5 | NA |
| Basketball | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 5.0 | NA | NA |
| Boxing | 2020 | 4.5 | 5.0 | 5.0 | 5 | 5.0 | 5.0 | NA | NA |
| Fuel for Fun | 2019 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 4.0 | 5.0 | 0.0 |
| Fuel for Fun | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 5.0 | NA | NA |
| Fuel for Fun | 2021 | 3.5 | 3.5 | 3.5 | 2 | 2.0 | 3.5 | NA | NA |
| Girls Multisport | 2019 | 5.0 | 5.0 | 4.5 | 5 | 5.0 | 4.5 | 0.0 | 0.0 |
| Girls Multisport | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 3.5 | NA | NA |
| Girls Multisport | 2021 | 4.5 | 4.0 | 5.0 | 2 | 4.0 | 5.0 | NA | NA |
| Healthy Me | 2019 | 5.0 | 4.5 | 5.0 | 5 | 4.0 | 4.5 | 3.5 | NA |
| Healthy Me | 2020 | 4.0 | 4.0 | 4.0 | 5 | 4.5 | 4.0 | NA | NA |
| Healthy Me | 2021 | 3.0 | 3.5 | 4.5 | 1 | 4.5 | 5.0 | NA | NA |
| Multisport | 2019 | 4.5 | 4.5 | 5.0 | 5 | 5.0 | 5.0 | 2.0 | 0.0 |
| Multisport | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 4.0 | NA | NA |
| Multisport | 2021 | 5.0 | 4.0 | 5.0 | 3 | 4.0 | 5.0 | NA | NA |
| Npower | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 3.5 | NA | NA |
| Npower | 2021 | 4.0 | 4.0 | 2.0 | 2 | 3.0 | 5.0 | NA | NA |
| Pathways | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 5.0 | 5.0 | NA |
| QSLA | 2019 | 4.5 | 4.5 | 5.0 | 5 | 5.0 | 3.5 | 2.5 | 0.0 |
| Sharing dance | 2019 | 3.5 | 3.0 | 5.0 | 4 | 5.0 | 3.5 | 4.0 | 0.0 |
| Sharing dance | 2020 | 3.0 | 3.5 | 5.0 | 5 | 4.0 | 5.0 | 4.0 | NA |
| Social circus | 2019 | 5.0 | 5.0 | 5.0 | 5 | 2.0 | 5.0 | 5.0 | 0.0 |
| Sport and Stem | 2019 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 4.5 | 5.0 | 0.0 |
| Sport and Stem | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 4.0 | NA | NA |
| Sport and Stem | 2021 | 3.5 | 3.5 | 2.0 | 2 | 2.0 | 3.5 | NA | NA |
| Square circle | 2019 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 5.0 | 5.0 | 0.0 |
| Square circle | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 5.0 | 4.5 | NA |
| Volleyball | 2019 | 4.5 | 4.0 | 5.0 | 5 | 4.0 | 4.0 | 2.0 | NA |
| Volleyball | 2020 | 5.0 | 5.0 | 5.0 | 5 | 5.0 | 3.5 | NA | NA |
| NA | 2019 | 5.0 | 5.0 | 5.0 | 5 | 4.0 | 3.5 | 0.0 | 0.0 |
PQAYS data for sub-scale 1b, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 1.1b - Positive emotional climate | 1.2b - Respectful environment | 1.3b - Conflict mediation |
|---|---|---|---|---|
| Ball hockey | 2019 | 4.0 | 3.5 | 3.0 |
| Ball hockey | 2020 | 4.5 | 4.5 | NA |
| Basketball | 2019 | 4.5 | 4.5 | 4.5 |
| Basketball | 2020 | 4.5 | 4.0 | NA |
| Boxing | 2020 | 5.0 | 5.0 | NA |
| Fuel for Fun | 2019 | 4.0 | 5.0 | 0.0 |
| Fuel for Fun | 2020 | 5.0 | 4.0 | NA |
| Fuel for Fun | 2021 | 4.5 | 4.5 | 3.0 |
| Girls Multisport | 2019 | 4.5 | 4.0 | 2.0 |
| Girls Multisport | 2020 | 4.5 | 4.0 | NA |
| Girls Multisport | 2021 | 4.5 | 4.5 | 4.0 |
| Healthy Me | 2019 | 4.5 | 4.5 | 5.0 |
| Healthy Me | 2020 | 4.0 | 4.0 | NA |
| Healthy Me | 2021 | 5.0 | 5.0 | 3.0 |
| Multisport | 2019 | 5.0 | 5.0 | 2.5 |
| Multisport | 2020 | 4.5 | 4.5 | NA |
| Multisport | 2021 | 5.0 | 4.0 | 3.0 |
| Npower | 2020 | 5.0 | 4.5 | NA |
| Npower | 2021 | 5.0 | 5.0 | 3.0 |
| Pathways | 2020 | 5.0 | 5.0 | NA |
| QSLA | 2019 | 5.0 | 5.0 | 0.0 |
| Sharing dance | 2019 | 5.0 | 5.0 | 1.5 |
| Sharing dance | 2020 | 5.0 | 4.5 | NA |
| Social circus | 2019 | 5.0 | 5.0 | 0.0 |
| Sport and Stem | 2019 | 5.0 | 5.0 | 0.0 |
| Sport and Stem | 2020 | 4.5 | 4.5 | NA |
| Sport and Stem | 2021 | 4.0 | 4.0 | 4.0 |
| Square circle | 2019 | 5.0 | 5.0 | 0.0 |
| Square circle | 2020 | 5.0 | 4.5 | NA |
| Volleyball | 2019 | 5.0 | 4.5 | 1.5 |
| Volleyball | 2020 | 4.0 | 4.0 | NA |
| NA | 2019 | 5.0 | 4.5 | 0.0 |
PQAYS data for sub-scale 2, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 2.1 - On time | 2.2 - Engaged staff | 2.3 - Clear expectations | 2.4 - Clear purpose | 2.5 - Engaged youth | 2.6 - Well organized | 2.7 - Staff support |
|---|---|---|---|---|---|---|---|---|
| Ball hockey | 2019 | NA | 5.0 | 3.5 | 3.0 | 4.0 | 4.0 | 4.0 |
| Ball hockey | 2020 | 5.0 | 5.0 | 4.5 | 4.5 | 4.5 | 4.0 | NA |
| Basketball | 2019 | 5.0 | 4.5 | 4.5 | 5.0 | 4.5 | 4.5 | 4.5 |
| Basketball | 2020 | 5.0 | 4.5 | 4.0 | 5.0 | 4.0 | 4.5 | NA |
| Boxing | 2020 | 4.5 | 5.0 | 5.0 | 5.0 | 4.5 | 3.5 | 5.0 |
| Fuel for Fun | 2019 | 5.0 | 4.0 | 4.0 | 4.0 | 3.0 | 4.0 | 4.0 |
| Fuel for Fun | 2020 | 4.5 | 5.0 | 4.5 | 5.0 | 5.0 | 5.0 | NA |
| Fuel for Fun | 2021 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 4.5 | 5.0 |
| Girls Multisport | 2019 | 5.0 | 4.5 | 4.0 | 4.0 | 4.0 | 4.0 | 4.5 |
| Girls Multisport | 2020 | 3.0 | 4.5 | 3.5 | 4.5 | 5.0 | 4.0 | NA |
| Girls Multisport | 2021 | 5.0 | 5.0 | 4.0 | 4.0 | 4.5 | 4.5 | 4.5 |
| Healthy Me | 2019 | NA | 4.5 | 4.0 | 5.0 | 4.5 | 4.5 | 5.0 |
| Healthy Me | 2020 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 3.5 | NA |
| Healthy Me | 2021 | 3.5 | 3.5 | 4.5 | 4.0 | NA | 3.0 | 5.0 |
| Multisport | 2019 | 5.0 | 4.5 | 5.0 | 4.5 | 4.5 | 5.0 | 4.5 |
| Multisport | 2020 | 5.0 | 3.5 | 4.0 | 3.5 | 4.0 | 3.0 | 4.0 |
| Multisport | 2021 | 5.0 | 5.0 | 4.0 | 4.0 | 5.0 | 4.0 | 5.0 |
| Npower | 2020 | 4.0 | 5.0 | 4.5 | 5.0 | 4.5 | 4.0 | 5.0 |
| Npower | 2021 | 5.0 | 5.0 | 5.0 | 5.0 | NA | 5.0 | 3.0 |
| Pathways | 2020 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | NA |
| QSLA | 2019 | 5.0 | 4.5 | 5.0 | 4.5 | 5.0 | 4.5 | 5.0 |
| Sharing dance | 2019 | 5.0 | 5.0 | 4.5 | 4.0 | 4.0 | 5.0 | 0.0 |
| Sharing dance | 2020 | 4.5 | 5.0 | 4.0 | 4.0 | 4.5 | 4.0 | 2.5 |
| Social circus | 2019 | 4.0 | 5.0 | 5.0 | 5.0 | 5.0 | 4.0 | 5.0 |
| Sport and Stem | 2019 | 4.5 | 5.0 | 5.0 | 4.0 | 4.0 | 5.0 | 5.0 |
| Sport and Stem | 2020 | 5.0 | 5.0 | 4.5 | 5.0 | 5.0 | 5.0 | 4.5 |
| Sport and Stem | 2021 | 5.0 | 4.0 | 4.0 | 4.0 | 3.5 | 4.0 | 3.5 |
| Square circle | 2019 | 5.0 | 4.5 | NA | 4.5 | 4.0 | 4.0 | 5.0 |
| Square circle | 2020 | 5.0 | 5.0 | 4.5 | 4.0 | 5.0 | 4.5 | 4.5 |
| Volleyball | 2019 | 3.0 | 5.0 | 4.5 | 4.0 | 4.0 | 3.5 | 4.5 |
| Volleyball | 2020 | 3.5 | 4.0 | 4.0 | 4.0 | 4.5 | 4.0 | NA |
| NA | 2019 | 4.0 | 3.5 | 4.0 | 4.0 | NA | 3.5 | 3.5 |
PQAYS data for sub-scale 3, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 3.1 - Warm environment | 3.2 - Staff-youth interact | 3.3 - Youth trust staff | 3.4 - Positive youth relationships | 3.5 - Development encouraged |
|---|---|---|---|---|---|---|
| Ball hockey | 2019 | 3.0 | 4.0 | 5.0 | 4.0 | 4.0 |
| Ball hockey | 2020 | 4.0 | 4.0 | 5.0 | 5.0 | 3.5 |
| Basketball | 2019 | 4.5 | 4.0 | 4.0 | 4.5 | 2.5 |
| Basketball | 2020 | 4.0 | 4.0 | 5.0 | 4.0 | 4.0 |
| Boxing | 2020 | 5.0 | 4.5 | 5.0 | 5.0 | 4.0 |
| Fuel for Fun | 2019 | 5.0 | 5.0 | 4.0 | 5.0 | 4.0 |
| Fuel for Fun | 2020 | 5.0 | 4.5 | 5.0 | 4.0 | 4.0 |
| Fuel for Fun | 2021 | 4.5 | 4.5 | 4.5 | 4.0 | 4.5 |
| Girls Multisport | 2019 | 4.0 | 3.5 | 4.0 | 4.0 | 4.0 |
| Girls Multisport | 2020 | 4.5 | 3.5 | 5.0 | 4.5 | 4.0 |
| Girls Multisport | 2021 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 |
| Healthy Me | 2019 | 5.0 | 4.0 | 5.0 | 5.0 | 3.5 |
| Healthy Me | 2020 | 4.0 | 4.0 | 4.5 | 4.0 | 4.0 |
| Healthy Me | 2021 | 3.5 | 3.5 | 3.5 | 2.5 | 3.5 |
| Multisport | 2019 | 5.0 | 4.5 | 5.0 | 5.0 | 4.5 |
| Multisport | 2020 | 3.0 | 4.0 | 4.5 | 3.5 | 4.0 |
| Multisport | 2021 | 4.0 | 5.0 | 5.0 | 4.0 | 3.0 |
| Npower | 2020 | 5.0 | 4.0 | 4.0 | 4.5 | 4.5 |
| Npower | 2021 | 5.0 | 2.5 | 2.5 | 2.5 | 2.5 |
| Pathways | 2020 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 |
| QSLA | 2019 | 5.0 | 4.5 | 5.0 | 4.5 | 5.0 |
| Sharing dance | 2019 | 4.5 | 3.5 | 5.0 | 4.0 | 4.0 |
| Sharing dance | 2020 | 5.0 | 4.5 | 4.5 | 5.0 | 5.0 |
| Social circus | 2019 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 |
| Sport and Stem | 2019 | 5.0 | 3.0 | 4.0 | 4.5 | 5.0 |
| Sport and Stem | 2020 | 5.0 | 5.0 | 4.5 | 4.0 | 4.5 |
| Sport and Stem | 2021 | 5.0 | 4.5 | 3.5 | 3.0 | 3.5 |
| Square circle | 2019 | 5.0 | 4.5 | 5.0 | 5.0 | 4.0 |
| Square circle | 2020 | 5.0 | 5.0 | 5.0 | 4.5 | 4.5 |
| Volleyball | 2019 | 4.5 | 4.0 | 4.0 | 5.0 | 3.5 |
| Volleyball | 2020 | 4.0 | 3.5 | 4.5 | 4.0 | 4.0 |
| NA | 2019 | 5.0 | 4.0 | 4.5 | 5.0 | 4.0 |
PQAYS data for sub-scale 4, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 4.1 - Positive associations | 4.2 - Inclusive youth | 4.3 - Additional activities |
|---|---|---|---|---|
| Ball hockey | 2019 | 3.5 | 3.0 | 1.0 |
| Ball hockey | 2020 | 5.0 | 4.0 | 1.0 |
| Basketball | 2019 | 4.0 | 4.0 | 2.0 |
| Basketball | 2020 | 5.0 | 5.0 | 3.0 |
| Boxing | 2020 | 5.0 | 4.5 | 1.5 |
| Fuel for Fun | 2019 | 5.0 | 5.0 | 1.0 |
| Fuel for Fun | 2020 | 4.5 | 4.5 | 3.5 |
| Fuel for Fun | 2021 | 5.0 | 5.0 | 4.5 |
| Girls Multisport | 2019 | 4.0 | 3.5 | 3.0 |
| Girls Multisport | 2020 | 4.5 | 4.0 | 1.0 |
| Girls Multisport | 2021 | 4.5 | 4.0 | 2.5 |
| Healthy Me | 2019 | 4.0 | 5.0 | 1.0 |
| Healthy Me | 2020 | 4.0 | 4.0 | 3.0 |
| Healthy Me | 2021 | 3.0 | 3.0 | 3.0 |
| Multisport | 2019 | 5.0 | 4.5 | 3.0 |
| Multisport | 2020 | 4.5 | 4.5 | 1.0 |
| Multisport | 2021 | 4.0 | 4.0 | 1.0 |
| Npower | 2020 | 5.0 | 5.0 | 3.0 |
| Npower | 2021 | 2.5 | 2.5 | 2.5 |
| Pathways | 2020 | 5.0 | 5.0 | 4.5 |
| QSLA | 2019 | 4.5 | 4.5 | 1.0 |
| Sharing dance | 2019 | 5.0 | 4.0 | 1.0 |
| Sharing dance | 2020 | 5.0 | 4.0 | 2.5 |
| Social circus | 2019 | 5.0 | 5.0 | 5.0 |
| Sport and Stem | 2019 | 4.5 | 4.0 | NA |
| Sport and Stem | 2020 | 4.5 | 5.0 | 1.0 |
| Sport and Stem | 2021 | 3.5 | 3.0 | 3.5 |
| Square circle | 2019 | 5.0 | 4.5 | NA |
| Square circle | 2020 | 4.5 | 4.5 | 3.0 |
| Volleyball | 2019 | 4.0 | 4.0 | 3.0 |
| Volleyball | 2020 | 4.5 | 4.0 | 1.0 |
| NA | 2019 | 4.5 | 5.0 | 1.0 |
PQAYS data for sub-scale 6, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 6.1 - Developmental focus | 6.2 - Youth given choices | 6.3 - Acheivements acknowledged | 6.4 - Mentorship opportunities | 6.5 - Positive feedback | 6.6 - Constructive feedback | 6.7 - Contributions recognized | 6.8 - Staff listen |
|---|---|---|---|---|---|---|---|---|---|
| Ball hockey | 2019 | 4.0 | 2.0 | 3.0 | 3.0 | 3.5 | 3.5 | 3.5 | 4.0 |
| Ball hockey | 2020 | 3.0 | 2.5 | 4.0 | 2.5 | 4.5 | 3.5 | 3.5 | 4.0 |
| Basketball | 2019 | 4.5 | 3.5 | 4.0 | 2.5 | 4.5 | 4.0 | 4.5 | 4.5 |
| Basketball | 2020 | 4.0 | 3.5 | 4.0 | 4.0 | 4.5 | 4.5 | 5.0 | 4.0 |
| Boxing | 2020 | 4.0 | 4.0 | 3.5 | 4.5 | 4.0 | 3.5 | 4.5 | 4.0 |
| Fuel for Fun | 2019 | 3.0 | 1.0 | 4.0 | 0.0 | 5.0 | 5.0 | 4.0 | 5.0 |
| Fuel for Fun | 2020 | 4.5 | 3.5 | 5.0 | 4.0 | 4.5 | 4.5 | 4.0 | 4.5 |
| Fuel for Fun | 2021 | 4.0 | 4.0 | 4.0 | 3.0 | 4.0 | 3.0 | 3.0 | 3.0 |
| Girls Multisport | 2019 | 3.5 | 3.0 | 3.0 | 1.5 | 4.0 | 3.0 | 4.0 | 4.0 |
| Girls Multisport | 2020 | 4.0 | 3.0 | 3.5 | 3.0 | 4.0 | 3.5 | 4.0 | 4.0 |
| Girls Multisport | 2021 | 4.0 | 3.5 | 4.5 | 3.0 | 5.0 | 4.0 | 4.5 | 4.0 |
| Healthy Me | 2019 | 2.5 | 3.0 | 4.0 | 3.0 | 4.0 | 4.0 | 4.0 | 4.5 |
| Healthy Me | 2020 | 4.0 | 3.5 | 4.0 | 3.0 | 4.0 | 4.5 | 4.0 | 4.0 |
| Healthy Me | 2021 | 3.5 | 3.0 | 3.5 | 2.0 | 4.0 | 4.0 | 4.0 | 4.0 |
| Multisport | 2019 | 5.0 | 2.5 | 5.0 | 3.5 | 5.0 | 5.0 | 5.0 | 5.0 |
| Multisport | 2020 | 3.5 | 2.0 | 3.5 | 2.5 | 3.5 | 3.5 | 3.0 | 3.5 |
| Multisport | 2021 | 3.0 | 2.0 | 4.0 | 2.0 | 5.0 | 4.0 | 3.0 | 4.0 |
| Npower | 2020 | 4.0 | 3.5 | 4.5 | 4.5 | 4.5 | 4.0 | 4.0 | 5.0 |
| Npower | 2021 | 5.0 | 3.0 | 5.0 | 2.5 | 5.0 | 2.0 | 2.5 | 2.0 |
| Pathways | 2020 | 5.0 | 4.5 | 5.0 | 4.5 | 5.0 | 5.0 | 5.0 | 5.0 |
| QSLA | 2019 | 4.0 | 1.5 | 4.0 | 3.0 | 4.0 | 4.5 | 5.0 | 5.0 |
| Sharing dance | 2019 | 3.5 | 4.5 | 4.0 | 3.0 | NA | 4.0 | 4.0 | NA |
| Sharing dance | 2020 | 4.0 | 4.5 | 3.0 | 3.0 | 3.0 | 2.5 | 4.0 | 4.5 |
| Social circus | 2019 | 4.0 | NA | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 |
| Sport and Stem | 2019 | 4.5 | 3.0 | 4.5 | 0.0 | 4.0 | 3.5 | 3.5 | 4.5 |
| Sport and Stem | 2020 | 4.0 | 3.0 | 4.0 | 3.5 | 4.5 | 4.0 | 4.0 | 4.0 |
| Sport and Stem | 2021 | 4.0 | 3.0 | 4.0 | 3.0 | 4.0 | 4.0 | 4.0 | 4.0 |
| Square circle | 2019 | NA | 4.0 | 4.0 | 4.5 | 4.5 | 5.0 | 5.0 | 4.5 |
| Square circle | 2020 | 4.0 | 2.5 | 4.5 | 4.5 | 4.5 | 5.0 | 4.5 | 4.5 |
| Volleyball | 2019 | 3.5 | 1.5 | 3.5 | 1.5 | 4.5 | 4.0 | 4.0 | 4.0 |
| Volleyball | 2020 | 4.0 | 3.0 | 3.5 | 3.0 | 4.0 | 3.5 | 4.0 | 4.0 |
| NA | 2019 | 3.5 | 1.5 | 4.0 | 4.0 | 4.0 | 2.5 | 2.0 | 4.5 |
PQAYS data for sub-scale 7a, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 7.1a - Staff understand fundamentals | 7.2a - Staff promote learning | 7.3a - Staff model skills | 7.4a - Opportunities to practice | 7.5a - Opportunities to reflect |
|---|---|---|---|---|---|---|
| Ball hockey | 2019 | 4.5 | 2.0 | 3.0 | 2.5 | 1.0 |
| Ball hockey | 2020 | 5.0 | 3.0 | 5.0 | 3.5 | 2.5 |
| Basketball | 2019 | 4.5 | 3.0 | 4.5 | 4.0 | 2.5 |
| Basketball | 2020 | 5.0 | 4.0 | 4.0 | 4.5 | 4.0 |
| Boxing | 2020 | 5.0 | 3.0 | 4.5 | 4.5 | 3.0 |
| Fuel for Fun | 2019 | 5.0 | 2.0 | 4.0 | 5.0 | 1.0 |
| Fuel for Fun | 2020 | 5.0 | 4.5 | 5.0 | 4.0 | 4.0 |
| Fuel for Fun | 2021 | 4.0 | 3.0 | 4.0 | 3.0 | 3.0 |
| Girls Multisport | 2019 | 5.0 | 1.5 | 4.5 | 4.5 | 2.5 |
| Girls Multisport | 2020 | 4.5 | 2.5 | 4.0 | 4.0 | 3.0 |
| Girls Multisport | 2021 | 4.0 | 3.5 | 4.0 | 4.0 | 3.0 |
| Healthy Me | 2019 | 5.0 | 3.0 | 4.5 | 3.5 | 2.0 |
| Healthy Me | 2020 | 4.0 | 3.0 | 3.5 | 4.0 | 3.0 |
| Healthy Me | 2021 | 4.0 | 4.0 | 4.0 | 3.5 | 4.0 |
| Multisport | 2019 | 5.0 | 4.5 | 5.0 | 5.0 | 3.5 |
| Multisport | 2020 | 4.0 | 3.5 | 3.5 | 4.5 | 3.0 |
| Multisport | 2021 | 5.0 | 2.0 | 4.0 | 4.0 | 3.0 |
| Npower | 2020 | 5.0 | 4.0 | 5.0 | 4.5 | 4.0 |
| Npower | 2021 | 5.0 | 3.5 | 5.0 | 5.0 | 2.0 |
| Pathways | 2020 | 5.0 | 5.0 | 5.0 | 5.0 | 4.5 |
| QSLA | 2019 | 5.0 | 3.0 | 5.0 | 4.5 | 3.0 |
| Sharing dance | 2019 | 4.5 | 2.0 | 4.0 | 3.5 | 3.0 |
| Sharing dance | 2020 | 5.0 | 3.0 | 3.5 | 4.0 | 2.0 |
| Social circus | 2019 | NA | 3.0 | 5.0 | 5.0 | 3.0 |
| Sport and Stem | 2019 | 5.0 | NA | 5.0 | 5.0 | NA |
| Sport and Stem | 2020 | 5.0 | 3.5 | 4.0 | 4.0 | 3.5 |
| Sport and Stem | 2021 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 |
| Square circle | 2019 | 5.0 | 2.5 | NA | NA | 2.5 |
| Square circle | 2020 | 5.0 | 4.5 | 5.0 | 5.0 | 3.0 |
| Volleyball | 2019 | 4.5 | 2.5 | 4.5 | 4.5 | 2.5 |
| Volleyball | 2020 | 4.0 | 3.0 | 4.0 | 4.0 | 3.0 |
| NA | 2019 | 4.0 | 3.0 | 3.0 | 2.5 | 1.0 |
PQAYS data for sub-scale 7b, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 7.1b - Life skills discussed | 7.2b - Life skills modeled | 7.3b - Opportunities to improve life skills | 7.4b - Life skills debriefed |
|---|---|---|---|---|---|
| Ball hockey | 2019 | NA | 2.5 | 1.5 | 3.5 |
| Ball hockey | 2020 | 3.0 | 3.5 | 3.0 | 3.0 |
| Basketball | 2019 | 2.5 | 2.5 | 2.5 | 2.5 |
| Basketball | 2020 | 4.0 | 4.0 | 3.5 | 4.5 |
| Boxing | 2020 | 2.0 | 1.5 | 2.5 | 2.5 |
| Fuel for Fun | 2019 | 1.0 | 1.0 | 1.0 | 1.0 |
| Fuel for Fun | 2020 | 4.0 | 4.5 | 4.0 | 3.5 |
| Fuel for Fun | 2021 | 4.0 | 4.0 | 3.0 | 4.0 |
| Girls Multisport | 2019 | 2.5 | 2.0 | 2.0 | 1.5 |
| Girls Multisport | 2020 | 3.0 | 3.0 | 2.0 | 2.0 |
| Girls Multisport | 2021 | 2.5 | 3.5 | 3.5 | 3.0 |
| Healthy Me | 2019 | 3.0 | 3.0 | NA | 2.5 |
| Healthy Me | 2020 | 4.0 | 3.5 | 3.5 | 3.5 |
| Healthy Me | 2021 | 3.5 | 3.5 | 4.0 | 4.5 |
| Multisport | 2019 | 2.0 | 2.0 | 2.0 | 2.0 |
| Multisport | 2020 | 3.5 | 4.0 | 4.0 | 4.5 |
| Multisport | 2021 | 2.0 | 4.0 | 2.0 | 2.0 |
| Npower | 2020 | 5.0 | 3.5 | 4.0 | 5.0 |
| Npower | 2021 | 2.5 | 2.5 | 2.0 | 2.0 |
| Pathways | 2020 | 4.0 | 4.0 | 4.0 | 4.0 |
| QSLA | 2019 | 2.5 | 1.5 | 1.5 | 1.0 |
| Sharing dance | 2019 | 2.0 | 2.0 | 1.0 | 1.0 |
| Sharing dance | 2020 | 3.0 | 3.5 | 3.5 | 2.5 |
| Social circus | 2019 | 1.0 | NA | NA | NA |
| Sport and Stem | 2019 | NA | NA | NA | NA |
| Sport and Stem | 2020 | 3.5 | 3.0 | 3.0 | 2.0 |
| Sport and Stem | 2021 | 4.0 | 4.0 | 3.0 | 3.0 |
| Square circle | 2019 | 1.5 | NA | NA | NA |
| Square circle | 2020 | 3.0 | 4.0 | 3.0 | 2.5 |
| Volleyball | 2019 | 1.5 | 2.0 | 1.5 | 1.5 |
| Volleyball | 2020 | 3.0 | 3.0 | 3.0 | 2.5 |
| NA | 2019 | 3.5 | 4.0 | 3.5 | 3.0 |
PQAYS data for sub-scale 8, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 8.1 - Families welcome | 8.2 - Families involved | 8.3 - Staff-school communication | 8.4 - Community opportunities | 8.5 - Coach-parent communication |
|---|---|---|---|---|---|---|
| Ball hockey | 2019 | 3.5 | 1.0 | 1.0 | 1.0 | 0.0 |
| Ball hockey | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | NA |
| Basketball | 2019 | 4.0 | 2.0 | 3.0 | 2.5 | 1.5 |
| Basketball | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | NA |
| Boxing | 2020 | 2.0 | 1.5 | 2.5 | 2.0 | NA |
| Fuel for Fun | 2019 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Fuel for Fun | 2020 | 1.0 | 1.0 | 4.0 | 2.0 | NA |
| Fuel for Fun | 2021 | 3.0 | 3.0 | 3.0 | 3.0 | 3.0 |
| Girls Multisport | 2019 | 4.0 | 2.0 | 2.0 | 2.0 | 0.0 |
| Girls Multisport | 2020 | 2.0 | 1.0 | 1.0 | 1.0 | NA |
| Girls Multisport | 2021 | 1.5 | 1.5 | 1.5 | 1.5 | 2.0 |
| Healthy Me | 2019 | 1.5 | 1.0 | 1.5 | 1.5 | 0.5 |
| Healthy Me | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | NA |
| Healthy Me | 2021 | 5.0 | 5.0 | 3.0 | 3.0 | 3.5 |
| Multisport | 2019 | 5.0 | 2.5 | 3.5 | 2.5 | 2.5 |
| Multisport | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | NA |
| Multisport | 2021 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Npower | 2020 | 1.0 | 1.0 | 1.0 | 2.0 | NA |
| Npower | 2021 | 2.5 | 2.0 | 1.5 | 2.0 | 3.0 |
| Pathways | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| QSLA | 2019 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| Sharing dance | 2019 | 1.0 | 1.0 | 1.0 | NA | 0.5 |
| Sharing dance | 2020 | 2.5 | 2.0 | 2.0 | 2.0 | NA |
| Social circus | 2019 | NA | NA | NA | NA | NA |
| Sport and Stem | 2019 | NA | NA | NA | NA | NA |
| Sport and Stem | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | NA |
| Sport and Stem | 2021 | 3.0 | 3.0 | 4.0 | 3.0 | 3.0 |
| Square circle | 2019 | NA | NA | NA | 1.0 | 1.0 |
| Square circle | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | 5.0 |
| Volleyball | 2019 | 3.0 | 1.0 | 2.0 | 2.5 | 1.0 |
| Volleyball | 2020 | 1.0 | 1.0 | 1.0 | 1.0 | NA |
| NA | 2019 | 1.0 | 1.0 | 1.0 | 1.0 | 0.5 |
PQAYS data for sub-scale 9, grouped by year and program.
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 9.1 - Activity-program consistency | 9.2 - Activity-objective support |
|---|---|---|---|
| Ball hockey | 2019 | NA | NA |
| Ball hockey | 2020 | 5.0 | 4.0 |
| Basketball | 2019 | NA | NA |
| Basketball | 2020 | 5.0 | 4.0 |
| Boxing | 2020 | 4.5 | 5.0 |
| Fuel for Fun | 2019 | NA | NA |
| Fuel for Fun | 2020 | 3.5 | 5.0 |
| Fuel for Fun | 2021 | 4.0 | 4.0 |
| Girls Multisport | 2019 | NA | NA |
| Girls Multisport | 2020 | 4.5 | 4.5 |
| Girls Multisport | 2021 | 4.5 | 4.0 |
| Healthy Me | 2019 | NA | NA |
| Healthy Me | 2020 | 5.0 | 5.0 |
| Healthy Me | 2021 | 5.0 | 5.0 |
| Multisport | 2019 | NA | NA |
| Multisport | 2020 | 5.0 | 5.0 |
| Multisport | 2021 | 4.5 | 4.5 |
| Npower | 2020 | 5.0 | 5.0 |
| Npower | 2021 | 3.5 | 3.0 |
| Pathways | 2020 | 5.0 | 5.0 |
| QSLA | 2019 | NA | NA |
| Sharing dance | 2019 | NA | NA |
| Sharing dance | 2020 | 5.0 | 5.0 |
| Social circus | 2019 | NA | NA |
| Sport and Stem | 2019 | NA | NA |
| Sport and Stem | 2020 | 4.0 | 4.0 |
| Sport and Stem | 2021 | 4.0 | 4.0 |
| Square circle | 2019 | NA | NA |
| Square circle | 2020 | 4.0 | 4.0 |
| Volleyball | 2019 | NA | NA |
| Volleyball | 2020 | 4.0 | 4.5 |
| NA | 2019 | NA | NA |
Median values for each sub-scale of the PQAYS, by program.
I started here by aggregating across years, so data is displayed by program only. This is just to get a sense of whether, on a given sub-scale, some programs are performing better/worse than others.
There is some variability here program-to-program, but it does not seem too far out of the norm (as shown in the upcoming KW and Wilcoxon tests). The most variability program-to-program is observed on subscale 6 onwards.
What is notable is that different sub-scales perform quite differently. For example, the first 5 sub-scales perform quite well, and many of these relate to infrastructure and staffing/coaching. The worst performing scale is #8 (Integration of family, community, and school efforts) across all programs.
| Program | 1a - Physical Safety | 1b - Psychological Safety | 2 - Appropriate Structure | 3 - Supportive Relationships | 4 - Opportunities to Belong | 5 - Positive Social Norms | 6 - Support for Efficacy and Mattering | 7a - Opportunities for Skill-building – Sport Skills | 7b - Opportunities for Skill-building – Life Skills | 8 - Integration of Family, School and Community Efforts | 9 - Program fidelity |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ball hockey | 5.00 | 4.25 | 4.00 | 4.0 | 4.00 | 4.5 | 3.50 | 3.5 | 3.00 | 1.00 | NA |
| Basketball | 5.00 | 4.50 | 4.00 | 4.0 | 5.00 | 5.0 | 4.00 | 4.0 | 4.00 | 1.00 | NA |
| Boxing | 5.00 | 5.00 | 5.00 | 5.0 | 4.50 | 5.0 | 4.00 | 4.0 | 2.25 | 1.75 | 4.75 |
| Fuel for Fun | 5.00 | 4.00 | 5.00 | 5.0 | 5.00 | 5.0 | 4.00 | 4.0 | 4.00 | 2.00 | NA |
| Girls Multisport | 5.00 | 4.00 | 4.75 | 4.5 | 4.00 | 4.5 | 4.00 | 4.0 | 2.75 | 1.00 | NA |
| Healthy Me | 4.00 | 4.50 | 4.00 | 4.0 | 4.00 | 4.0 | 4.00 | 4.0 | 3.75 | 1.25 | NA |
| Multisport | 4.75 | 4.50 | 5.00 | 4.0 | 4.00 | 4.0 | 3.50 | 4.0 | 3.00 | 1.00 | NA |
| Npower | 5.00 | 5.00 | 5.00 | 3.5 | 4.00 | 4.5 | 4.00 | 5.0 | 3.25 | 1.00 | 5.00 |
| Pathways | 5.00 | 5.00 | 5.00 | 5.0 | 5.00 | 5.0 | 5.00 | 5.0 | 4.00 | 1.00 | 5.00 |
| QSLA | 4.25 | 5.00 | 5.00 | 5.0 | 4.50 | 5.0 | 4.25 | 4.5 | 2.00 | 1.00 | NA |
| Sharing dance | 4.00 | 4.50 | 4.00 | 4.5 | 4.00 | 5.0 | 3.75 | 3.5 | 2.25 | 1.00 | NA |
| Social circus | 5.00 | 5.00 | 5.00 | 5.0 | 5.00 | 5.0 | 5.00 | 5.0 | 1.00 | NA | NA |
| Sport and Stem | 5.00 | 5.00 | 5.00 | 4.0 | 4.25 | 4.0 | 4.00 | 4.5 | NA | NA | NA |
| Square circle | 5.00 | 5.00 | 4.00 | 5.0 | 4.00 | 5.0 | 5.00 | 5.0 | 2.75 | 1.00 | NA |
| Volleyball | 5.00 | 4.00 | 4.00 | 4.0 | 4.00 | 5.0 | 3.75 | 4.0 | 3.00 | 1.00 | NA |
| NA | 4.50 | 4.50 | 4.00 | 4.5 | 4.50 | 5.0 | 3.50 | 3.0 | 3.50 | 1.00 | NA |
Median values for each sub-scale of the PQAYS, from 2019-2021, by program.
Here we are moving into program by year. As alluded to above, the main thing of note here on the yearly analysis is that there is a dip for many programs in 2021 (which is suspected to be related to 2021 programming being virutally delivered).
## `summarise()` has grouped output by 'program.clean'. You can override using the
## `.groups` argument.| Program | Year | 1a - Physical Safety | 1b - Psychological Safety | 2 - Appropriate Structure | 3 - Supportive Relationships | 4 - Opportunities to Belong | 5 - Positive Social Norms | 6 - Support for Efficacy and Mattering | 7a - Opportunities for Skill-building – Sport Skills | 7b - Opportunities for Skill-building – Life Skills | 8 - Integration of Family, School and Community Efforts | 9 - Program fidelity |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ball hockey | 2019 | 4.75 | 3.50 | 4.00 | 3.5 | 3.00 | 4.0 | 3.25 | 3.0 | 2.75 | 1.00 | NA |
| Ball hockey | 2020 | 5.00 | 4.50 | 4.50 | 4.0 | 4.00 | 5.0 | 3.75 | 4.0 | 3.00 | 1.00 | 4.50 |
| Basketball | 2019 | 5.00 | 4.50 | 4.50 | 4.0 | 4.00 | 4.5 | 4.25 | 3.5 | 2.50 | 2.50 | NA |
| Basketball | 2020 | 5.00 | 4.50 | 4.00 | 4.0 | 5.00 | 5.0 | 4.00 | 4.0 | 4.00 | 1.00 | 4.50 |
| Boxing | 2020 | 5.00 | 5.00 | 5.00 | 5.0 | 4.50 | 5.0 | 4.00 | 4.0 | 2.25 | 1.75 | 4.75 |
| Fuel for Fun | 2019 | 5.00 | 4.00 | 4.00 | 5.0 | 5.00 | 5.0 | 3.50 | 4.0 | 1.00 | 1.00 | NA |
| Fuel for Fun | 2020 | 5.00 | 4.25 | 5.00 | 4.5 | 4.00 | 5.0 | 4.00 | 4.5 | 4.00 | 1.50 | 4.00 |
| Fuel for Fun | 2021 | 3.50 | 4.50 | 5.00 | 4.5 | 5.00 | 4.0 | 3.50 | 3.0 | 4.00 | 3.00 | 4.00 |
| Girls Multisport | 2019 | 5.00 | 4.00 | 4.00 | 4.0 | 3.50 | 3.5 | 3.50 | 4.5 | 2.00 | 2.00 | NA |
| Girls Multisport | 2020 | 5.00 | 4.00 | 4.75 | 4.5 | 4.00 | 5.0 | 3.75 | 4.0 | 2.75 | 1.00 | 4.50 |
| Girls Multisport | 2021 | 4.25 | 4.00 | 5.00 | 5.0 | 4.00 | 4.5 | 4.50 | 4.0 | 3.25 | 1.50 | 4.25 |
| Healthy Me | 2019 | 4.75 | 4.50 | 5.00 | 4.5 | 4.00 | 5.0 | 4.00 | 3.5 | 3.00 | 1.00 | NA |
| Healthy Me | 2020 | 4.00 | 4.00 | 4.00 | 4.0 | 4.00 | 4.0 | 4.00 | 3.5 | 4.00 | 1.00 | 5.00 |
| Healthy Me | 2021 | 4.25 | 5.00 | 3.75 | 3.5 | 3.00 | 4.0 | 3.75 | 4.0 | 3.75 | 4.00 | 5.00 |
| Multisport | 2019 | 4.75 | 5.00 | 5.00 | 5.0 | 4.50 | 5.0 | 5.00 | 5.0 | 2.00 | 3.00 | NA |
| Multisport | 2020 | 5.00 | 4.50 | 4.00 | 4.0 | 4.50 | 4.5 | 3.00 | 4.0 | 4.00 | 1.00 | 5.00 |
| Multisport | 2021 | 4.50 | 4.00 | 5.00 | 4.0 | 4.00 | 4.0 | 3.50 | 4.0 | 2.00 | 1.00 | 4.50 |
| Npower | 2020 | 5.00 | 4.75 | 4.50 | 4.5 | 5.00 | 4.5 | 4.50 | 4.5 | 4.25 | 1.00 | 5.00 |
| Npower | 2021 | 3.50 | 5.00 | 5.00 | 2.5 | 2.50 | 4.5 | 2.75 | 5.0 | 2.25 | 2.00 | 3.25 |
| Pathways | 2020 | 5.00 | 5.00 | 5.00 | 5.0 | 5.00 | 5.0 | 5.00 | 5.0 | 4.00 | 1.00 | 5.00 |
| QSLA | 2019 | 4.25 | 5.00 | 5.00 | 5.0 | 4.50 | 5.0 | 4.25 | 4.5 | 2.00 | 1.00 | NA |
| Sharing dance | 2019 | 4.00 | 4.50 | 4.50 | 4.0 | 3.50 | 4.5 | 4.00 | 3.5 | 1.25 | 1.00 | NA |
| Sharing dance | 2020 | 4.75 | 4.50 | 4.00 | 5.0 | 4.00 | 5.0 | 3.50 | 3.5 | 3.25 | 2.00 | 5.00 |
| Social circus | 2019 | 5.00 | 5.00 | 5.00 | 5.0 | 5.00 | 5.0 | 5.00 | 5.0 | 1.00 | NA | NA |
| Sport and Stem | 2019 | 5.00 | 5.00 | 5.00 | 4.0 | 4.25 | 4.5 | 3.75 | 5.0 | NA | NA | NA |
| Sport and Stem | 2020 | 5.00 | 4.50 | 5.00 | 4.5 | 4.50 | 4.5 | 4.00 | 4.0 | 3.00 | 1.00 | 4.00 |
| Sport and Stem | 2021 | 2.75 | 4.00 | 4.00 | 3.5 | 3.50 | 3.0 | 4.00 | 4.0 | 3.50 | 3.00 | 4.00 |
| Square circle | 2019 | 5.00 | 5.00 | 4.00 | 5.0 | 4.50 | 5.0 | 5.00 | 5.0 | 1.50 | 1.00 | NA |
| Square circle | 2020 | 5.00 | 4.75 | 4.50 | 5.0 | 4.00 | 4.5 | 4.50 | 4.5 | 3.50 | 1.00 | 4.00 |
| Volleyball | 2019 | 4.50 | 4.50 | 4.00 | 4.0 | 4.00 | 5.0 | 3.75 | 4.5 | 1.50 | 2.00 | NA |
| Volleyball | 2020 | 5.00 | 4.00 | 4.00 | 4.0 | 4.00 | 4.5 | 3.75 | 4.0 | 3.00 | 1.00 | 4.25 |
| NA | 2019 | 4.50 | 4.50 | 4.00 | 4.5 | 4.50 | 5.0 | 3.50 | 3.0 | 3.50 | 1.00 | NA |
Median values for each sub-scale of the PQAYS, from 2019-2021, by program type (Sport Plus vs. Plus Sport)
This next table provides a more digestible overview of Sport Plus vs Plus Sport performance on the PQAYS. In general, Plus Sport programs maybe performing slightly better than Sport Plus. Again, there is a dip in performance in 2021, which will be further explored in the next section.
## `summarise()` has grouped output by 'program.type'. You can override using the
## `.groups` argument.
## `summarise()` has grouped output by 'program.type'. You can override using the
## `.groups` argument.| Program type | Year | 1a - Physical Safety | 1b - Psychological Safety | 2 - Appropriate Structure | 3 - Supportive Relationships | 4 - Opportunities to Belong | 5 - Positive Social Norms | 6 - Support for Efficacy and Mattering | 7a - Opportunities for Skill-building – Sport Skills | 7b - Opportunities for Skill-building – Life Skills | 8 - Integration of Family, School and Community Efforts | 9 - Program fidelity | Overall |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Plus Sport | 2019 | 5.00 | 5.0 | 5 | 5.0 | 5 | 5.0 | 4.00 | 5 | NA | NA | NA | 4 |
| Plus Sport | 2020 | 5.00 | 4.5 | 5 | 4.5 | 4 | 5.0 | 4.00 | 4 | 4.00 | 1 | 5.00 | 4 |
| Plus Sport | 2021 | 3.50 | 5.0 | 5 | 3.5 | 3 | 4.0 | 3.00 | 4 | 3.25 | 3 | 4.75 | 4 |
| Sport Plus | 2019 | 4.75 | 4.0 | 4 | 4.0 | 4 | 4.5 | 4.00 | 4 | 2.00 | 1 | NA | 4 |
| Sport Plus | 2020 | 5.00 | 4.0 | 4 | 4.0 | 4 | 5.0 | 3.75 | 4 | 3.00 | 1 | 4.50 | 4 |
| Sport Plus | 2021 | 4.50 | 4.0 | 5 | 4.0 | 4 | 4.0 | 3.50 | 4 | 2.50 | 1 | 4.50 | 4 |
Kruskall-Wallis tests comparing year-over-year medians, for Sport Plus and Plus Sport programs. Wilcoxon tests follow for KW tests that are significant to show pairwise differences.
There is change across more sub-scales when considering Plus Sport programs vs. Sport Plus programs. This could perhaps be because sport-focused programs already have strong infrastructure (which presumably did not change?), while plus-sport programs, being less focused on sport, could be impacted more by changing staff/coaches, COVID sentiment, sport culture, etc. The impact of setting (in-person vs. virtual) is further explored in the next section.
Across all sub-scales, for Sport Plus
programs, significant differences were observed for subscales …
1a - Physical safety (2021 < 2019 <
2020) and
7b - Opportunities for sport building - Life
skills (2019 < 2021 < 2020).
Significant difference 2019 vs. 2020, 2020 vs. 2021, but NOT 2019 vs. 2021.
kw.sp = filter(pqays.n, program.type == "Sport Plus")
#Significant.
kruskal.test(median.1a ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.1a by year.cat
## Kruskal-Wallis chi-squared = 18.694, df = 2, p-value = 8.722e-05pairwise.wilcox.test(kw.sp$median.1a, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.1a and kw.sp$year.cat
##
## 2019 2020
## 2020 0.0041 -
## 2021 0.3534 5.8e-05
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.1b ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.1b by year.cat
## Kruskal-Wallis chi-squared = 0.96495, df = 2, p-value = 0.6173pairwise.wilcox.test(kw.sp$median.1b, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.1b and kw.sp$year.cat
##
## 2019 2020
## 2020 1 -
## 2021 1 1
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.2 ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.2 by year.cat
## Kruskal-Wallis chi-squared = 5.8517, df = 2, p-value = 0.05362pairwise.wilcox.test(kw.sp$median.2, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.2 and kw.sp$year.cat
##
## 2019 2020
## 2020 0.821 -
## 2021 0.092 0.051
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.3 ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.3 by year.cat
## Kruskal-Wallis chi-squared = 1.2573, df = 2, p-value = 0.5333pairwise.wilcox.test(kw.sp$median.3, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.3 and kw.sp$year.cat
##
## 2019 2020
## 2020 0.84 -
## 2021 1.00 1.00
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.4 ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.4 by year.cat
## Kruskal-Wallis chi-squared = 5.2048, df = 2, p-value = 0.0741pairwise.wilcox.test(kw.sp$median.4, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.4 and kw.sp$year.cat
##
## 2019 2020
## 2020 0.095 -
## 2021 0.349 0.584
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.6 ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.6 by year.cat
## Kruskal-Wallis chi-squared = 0.11943, df = 2, p-value = 0.942pairwise.wilcox.test(kw.sp$median.6, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.6 and kw.sp$year.cat
##
## 2019 2020
## 2020 1 -
## 2021 1 1
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.7a ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.7a by year.cat
## Kruskal-Wallis chi-squared = 1.1682, df = 2, p-value = 0.5576pairwise.wilcox.test(kw.sp$median.7a, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.7a and kw.sp$year.cat
##
## 2019 2020
## 2020 1.00 -
## 2021 1.00 0.81
##
## P value adjustment method: holmSignificant difference from 2019-2020 but NOT 2020-2021 or 2019-2021.
# Significant.
kruskal.test(median.7b ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.7b by year.cat
## Kruskal-Wallis chi-squared = 9.8346, df = 2, p-value = 0.007319pairwise.wilcox.test(kw.sp$median.7b, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.7b and kw.sp$year.cat
##
## 2019 2020
## 2020 0.0094 -
## 2021 0.2918 0.2918
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.8 ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.8 by year.cat
## Kruskal-Wallis chi-squared = 3.1133, df = 2, p-value = 0.2108pairwise.wilcox.test(kw.sp$median.8, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.8 and kw.sp$year.cat
##
## 2019 2020
## 2020 0.30 -
## 2021 0.80 0.54
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.9 ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.9 by year.cat
## Kruskal-Wallis chi-squared = 0.21907, df = 1, p-value = 0.6398No significant differences year-over-year.
# Non-significant.
kruskal.test(median.total ~ year.cat, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.total by year.cat
## Kruskal-Wallis chi-squared = 1.1096, df = 2, p-value = 0.5742pairwise.wilcox.test(kw.sp$median.total, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.total and kw.sp$year.cat
##
## 2019 2020
## 2020 1.0 -
## 2021 1.0 0.8
##
## P value adjustment method: holmAcross all sub-scales, for Plus Sport
programs, significant differences were observed for for
sub-scales…
1a - Physical safety (2021 <
2019/2020)
3 - Supportive relationships (2021 < 2020
< 2019)
5 - Positive social norms (2021 <
2019/2020)
6 - Support for efficacy and mattering (2021
< 2019/2021)
7b - Opportunities for sport building - Life
skills (2021 < 2020)
8 - Integration of family, school, and community
(2020 < 2021)
Significant difference 2019 vs. 2021, 2020 vs. 2021, but NOT 2019 vs. 2020.
kw.ps = filter(pqays.n, program.type == "Plus Sport")
#Significant.
kruskal.test(median.1a ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.1a by year.cat
## Kruskal-Wallis chi-squared = 14.615, df = 2, p-value = 0.0006703pairwise.wilcox.test(kw.ps$median.1a, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.1a and kw.ps$year.cat
##
## 2019 2020
## 2020 0.1597 -
## 2021 0.0077 0.0014
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.1b ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.1b by year.cat
## Kruskal-Wallis chi-squared = 2.5369, df = 2, p-value = 0.2813pairwise.wilcox.test(kw.ps$median.1b, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.1b and kw.ps$year.cat
##
## 2019 2020
## 2020 0.38 -
## 2021 0.85 0.62
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.2 ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.2 by year.cat
## Kruskal-Wallis chi-squared = 1.1939, df = 2, p-value = 0.5505pairwise.wilcox.test(kw.ps$median.2, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.2 and kw.ps$year.cat
##
## 2019 2020
## 2020 0.79 -
## 2021 1.00 1.00
##
## P value adjustment method: holmSignificant differences from 2019-2021, 2020-2021, but NOT 2019-2020.
# Significant.
kruskal.test(median.3 ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.3 by year.cat
## Kruskal-Wallis chi-squared = 11.66, df = 2, p-value = 0.002939pairwise.wilcox.test(kw.ps$median.3, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.3 and kw.ps$year.cat
##
## 2019 2020
## 2020 0.2237 -
## 2021 0.0044 0.0268
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.4 ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.4 by year.cat
## Kruskal-Wallis chi-squared = 5.4515, df = 2, p-value = 0.0655pairwise.wilcox.test(kw.ps$median.4, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.4 and kw.ps$year.cat
##
## 2019 2020
## 2020 0.8 -
## 2021 0.1 0.1
##
## P value adjustment method: holmSignificant differences 2019-2021, 2020-2021, but NOT 2019-2020.
# Significant.
kruskal.test(median.6 ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.6 by year.cat
## Kruskal-Wallis chi-squared = 6.3279, df = 2, p-value = 0.04226pairwise.wilcox.test(kw.ps$median.6, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.6 and kw.ps$year.cat
##
## 2019 2020
## 2020 0.977 -
## 2021 0.071 0.071
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.7a ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.7a by year.cat
## Kruskal-Wallis chi-squared = 1.6426, df = 2, p-value = 0.4399pairwise.wilcox.test(kw.ps$median.7a, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.7a and kw.ps$year.cat
##
## 2019 2020
## 2020 0.7 -
## 2021 0.7 0.7
##
## P value adjustment method: holmSignificant difference from 2019-2020, 2019-2021 but NOT 2020-2021.
# Significant.
kruskal.test(median.7b ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.7b by year.cat
## Kruskal-Wallis chi-squared = 14.365, df = 2, p-value = 0.0007598pairwise.wilcox.test(kw.ps$median.7b, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.7b and kw.ps$year.cat
##
## 2019 2020
## 2020 0.0015 -
## 2021 0.0151 0.4328
##
## P value adjustment method: holmSignificant differences from 2019-2021, 2020-2021, but NOT 2019-2020.
# Significant.
kruskal.test(median.8 ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.8 by year.cat
## Kruskal-Wallis chi-squared = 29.5, df = 2, p-value = 3.927e-07pairwise.wilcox.test(kw.ps$median.8, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.8 and kw.ps$year.cat
##
## 2019 2020
## 2020 1 -
## 2021 8.4e-05 8.6e-07
##
## P value adjustment method: holmNo significant differences year-over-year.
# Non-significant.
kruskal.test(median.9 ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.9 by year.cat
## Kruskal-Wallis chi-squared = 1.5238, df = 1, p-value = 0.217Significant differences from 2019-2021, 2020-2021, but NOT 2019-2020.
# Significant.
kruskal.test(median.total ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.total by year.cat
## Kruskal-Wallis chi-squared = 8.9476, df = 2, p-value = 0.0114pairwise.wilcox.test(kw.ps$median.total, kw.ps$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.ps$median.total and kw.ps$year.cat
##
## 2019 2020
## 2020 0.809 -
## 2021 0.020 0.027
##
## P value adjustment method: holmMedian values for each sub-scale of the PQAYS, in-person (2019-2020) and virtual (2021), by program type (Sport Plus vs. Plus Sport)
## `summarise()` has grouped output by 'program.type'. You can override using the
## `.groups` argument.
## `summarise()` has grouped output by 'program.type'. You can override using the
## `.groups` argument.| Program type | Year | 1a - Physical Safety | 1b - Psychological Safety | 2 - Appropriate Structure | 3 - Supportive Relationships | 4 - Opportunities to Belong | 5 - Positive Social Norms | 6 - Support for Efficacy and Mattering | 7a - Opportunities for Skill-building – Sport Skills | 7b - Opportunities for Skill-building – Life Skills | 8 - Integration of Family, School and Community Efforts | 9 - Program fidelity | Overall |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Plus Sport | In person | 5.0 | 5 | 5 | 5.0 | 4.75 | 5 | 4.0 | 4 | NA | NA | NA | 4 |
| Plus Sport | Virtual | 3.5 | 5 | 5 | 3.5 | 3.00 | 4 | 3.0 | 4 | 3.25 | 3 | 4.75 | 4 |
| Sport Plus | In person | 5.0 | 4 | 4 | 4.0 | 4.00 | 5 | 4.0 | 4 | 3.00 | 1 | NA | 4 |
| Sport Plus | Virtual | 4.5 | 4 | 5 | 4.0 | 4.00 | 4 | 3.5 | 4 | 2.50 | 1 | 4.50 | 4 |
Kruskall-Wallis tests comparing year-over-year medians, for Sport Plus and Plus Sport programs, by setting (in-person vs. virtual).
As above, there is change in more sub-scales when considering Plus Sport programs vs. Sport Plus programs. For Sport Plus programs, performance was comparable for almost all sub-scales, except 1a (Physical safety, rated higher in person) and 2 (Appropriate structure, rated higher virtually). There are many Plus Sport programs that perform better in person than virtually. Together, this may suggest that, at least per PQAYS assessment, Plus Sport programs are a better option for in-person, and if to be scaled virtually, there may need to be more of a community aspect that needs to be built.
Across all sub-scales, for Sport Plus
programs, significant differences were observed for subscales …
1a - Physical safety (In person > Virtual)
and
2 - Appropriate structure (Virual > In
person)
Significant difference, higher performance in-person.
kw.setting.sp = filter(pqays.n, program.type == "Sport Plus")
#Significant.
kruskal.test(median.1a ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.1a by setting
## Kruskal-Wallis chi-squared = 10.412, df = 1, p-value = 0.001252#pairwise.wilcox.test(kw.setting.sp$median.1a, kw.setting.sp$setting, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.1b ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.1b by setting
## Kruskal-Wallis chi-squared = 0.52475, df = 1, p-value = 0.4688pairwise.wilcox.test(kw.sp$median.1b, kw.sp$year.cat, paired = FALSE)## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties
## Warning in wilcox.test.default(xi, xj, paired = paired, ...): cannot compute
## exact p-value with ties##
## Pairwise comparisons using Wilcoxon rank sum test with continuity correction
##
## data: kw.sp$median.1b and kw.sp$year.cat
##
## 2019 2020
## 2020 1 -
## 2021 1 1
##
## P value adjustment method: holmSignificant difference, higher performance virtually.
# Significant.
kruskal.test(median.2 ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.2 by setting
## Kruskal-Wallis chi-squared = 5.791, df = 1, p-value = 0.01611#pairwise.wilcox.test(kw.sp$median.2, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.3 ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.3 by setting
## Kruskal-Wallis chi-squared = 0.014524, df = 1, p-value = 0.9041#pairwise.wilcox.test(kw.sp$median.3, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.4 ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.4 by setting
## Kruskal-Wallis chi-squared = 0.011841, df = 1, p-value = 0.9133#pairwise.wilcox.test(kw.sp$median.4, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.6 ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.6 by setting
## Kruskal-Wallis chi-squared = 0.066178, df = 1, p-value = 0.797#pairwise.wilcox.test(kw.sp$median.6, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.7a ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.7a by setting
## Kruskal-Wallis chi-squared = 0.7817, df = 1, p-value = 0.3766#pairwise.wilcox.test(kw.sp$median.7a, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.7b ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.7b by setting
## Kruskal-Wallis chi-squared = 0.33134, df = 1, p-value = 0.5649#pairwise.wilcox.test(kw.sp$median.7b, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.8 ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.8 by setting
## Kruskal-Wallis chi-squared = 0.39669, df = 1, p-value = 0.5288#pairwise.wilcox.test(kw.sp$median.8, kw.sp$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.9 ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.9 by setting
## Kruskal-Wallis chi-squared = 0.21907, df = 1, p-value = 0.6398No significant differences between settings.
# Non-significant.
kruskal.test(median.total ~ setting, data = pqays.n, subset = program.type == "Sport Plus")##
## Kruskal-Wallis rank sum test
##
## data: median.total by setting
## Kruskal-Wallis chi-squared = 0.7016, df = 1, p-value = 0.4022#pairwise.wilcox.test(kw.sp$median.total, kw.sp$year.cat, paired = FALSE)Across all sub-scales, for Plus Sport
programs, significant differences were observed for for
sub-scales…
1a - Physical safety (In person >
Virtual)
3 - Supportive relationships (In person >
Virtual)
4 - Opportunities to belong (In person >
Virtual)
5 - Positive social norms (In person >
Virtual)
6 - Support for efficacy and mattering (In
person > Virtual)
8 - Integration of family, school, and community
(In person > Virtual, but data are limited)
Significant difference, higher performance in person.
kw.setting.ps = filter(pqays.n, program.type == "Plus Sport")
#Significant.
kruskal.test(median.1a ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.1a by setting
## Kruskal-Wallis chi-squared = 13.3, df = 1, p-value = 0.0002654#pairwise.wilcox.test(kw.ps$median.1a, kw.ps$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.1b ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.1b by setting
## Kruskal-Wallis chi-squared = 0.1815, df = 1, p-value = 0.6701#pairwise.wilcox.test(kw.ps$median.1b, kw.ps$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.2 ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.2 by setting
## Kruskal-Wallis chi-squared = 0.0042231, df = 1, p-value = 0.9482#pairwise.wilcox.test(kw.ps$median.2, kw.ps$year.cat, paired = FALSE)Significant differences, higher performance in person.
# Significant.
kruskal.test(median.3 ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.3 by setting
## Kruskal-Wallis chi-squared = 10.594, df = 1, p-value = 0.001134#pairwise.wilcox.test(kw.ps$median.3, kw.ps$year.cat, paired = FALSE)No significant differences, higher performance in person.
# Significant.
kruskal.test(median.4 ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.4 by setting
## Kruskal-Wallis chi-squared = 5.4084, df = 1, p-value = 0.02004#pairwise.wilcox.test(kw.ps$median.4, kw.ps$year.cat, paired = FALSE)Significant differences, higher performance in person.
# Significant.
kruskal.test(median.6 ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.6 by setting
## Kruskal-Wallis chi-squared = 6.3274, df = 1, p-value = 0.01189#pairwise.wilcox.test(kw.ps$median.6, kw.ps$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.7a ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.7a by setting
## Kruskal-Wallis chi-squared = 1.513, df = 1, p-value = 0.2187#pairwise.wilcox.test(kw.ps$median.7a, kw.ps$year.cat, paired = FALSE)Significant difference, but limited data for in-person.
# Significant.
kruskal.test(median.7b ~ year.cat, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.7b by year.cat
## Kruskal-Wallis chi-squared = 14.365, df = 2, p-value = 0.0007598#pairwise.wilcox.test(kw.ps$median.7b, kw.ps$year.cat, paired = FALSE)Significant differences, but limited data for in-person.
# Significant.
kruskal.test(median.8 ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.8 by setting
## Kruskal-Wallis chi-squared = 29.409, df = 1, p-value = 5.861e-08#pairwise.wilcox.test(kw.ps$median.8, kw.ps$year.cat, paired = FALSE)No significant differences between settings.
# Non-significant.
kruskal.test(median.9 ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.9 by setting
## Kruskal-Wallis chi-squared = 1.5238, df = 1, p-value = 0.217Significant differences, higher performance in person.
# Significant.
kruskal.test(median.total ~ setting, data = pqays.n, subset = program.type == "Plus Sport")##
## Kruskal-Wallis rank sum test
##
## data: median.total by setting
## Kruskal-Wallis chi-squared = 8.8977, df = 1, p-value = 0.002855#pairwise.wilcox.test(kw.ps$median.total, kw.ps$year.cat, paired = FALSE)