When conducting our evaluation research, the goal of sending five activities home to 99 families was to find out if family fun time activities would improve family involvement. We focused on the Pizza Party Activity. During this evaluation research, our original variables were involvement of the activity and completion of the activity. However, we re-coded our variables into interval ratio. With that, our new variables are now the enjoyment and involvement of the activity. Within our evaluation research, the different inferential statistical models were Pearson Correlation, ANOVA, and our Chi-squared.
T-Test
The mean Family involvement for those who completed the survey was 9.0 out of 10 while the mean family involvement for those who did not complete the survey was 9.2 out of 10. These means are not significantly different when generalized to the population.
Table 1.
| Mean of Family Involvement | T- Statistic | df | |
| Completed Survey | 9.0 | -0.567 | 43.43 |
| Not Completed Survey | 9.2 |
Note. P<.05*, P<.01**, P<.001***
ANOVA
Our next statistical model within our data results was our ANOVA (the Analysis of Variance). Within our ANOVA there is a significant difference between the means at the .001 level. Showing that our dependent variable (involvement) did change according to our independent variable (enjoyment). Indicating more participants were selected within groups than between groups.
ANOVA
| Sum of Squares | DF | Mean Square | F | Sig. | |
| Between Groups | 359.138 | 2 | 179.569 | 162.858 | <.001 |
| Within Groups | 83.798 | 76 | 1.103 | ||
| Total | 442.937 | 78 |
Note: p<.05*, p<.01***, p<.001***
Chi-Squared
Within our Chi-squared, our independent variable was if families completed the Pizza Party activity. Our dependent variable for this chi-square was how engaged families were during the Pizza Party activity. We had 12 participants that had a low engagement score with the completion of this activity. Whereas we had 56 participants that had a high engagement score with the completion of this activity. The p-value statistic is 0.07086, which means it has a weak positive correlation and has no significance at the .001 level.
Table 1. Chi-squared of parent engagement by income
| Engagement | Completion | Started, Not Completed | Total |
| Low Engaged | 12 | 0 | 12 |
| High Engaged | 56 | 4 | 60 |
| Chi-Square | 0.07086 |
Note: p<.05*, p<.01**, p<.001***
Conclusion
When conducting our evaluation research, we wanted to know if sending five activities home to 99 families was to find out if family fun time activities would improve family involvement. The findings from our inferential statistical models Pearson Correlation, ANOVA, and our Chi-squared indicate that the families that participated in the Pizza Party Activity did have an improvement in their family involvement. The results from the research indicate that there is a strong correlation between family involvement and family engagement from the activities conducted in this evaluation research. This research thoroughly illustrates that statistically our hypothesis is supported by the data. In conclusion to our survey research, we can conclude family fun time activities do improve family involvement.