The research question for this research study was “Does income affect family involvement within the families at the Andy Taylor Center and the Head Start Program?” The dependent variable for this research study is how involved was your family throughout the activity. This was asked in the study through a scale that ranged from 0 to 10. The independent variable for this study was annual household income. This was asked by listing different income ranges and selecting which family fell in. The purpose of this findings portion of the study is to show if the annual household income of the respondents participating in the study impacted family involvement. Throughout this entire paper, I have chosen three different but important statistical tables that will help answer my research question. The three statistical tables that I have included in this findings portion are ANOVA, Independent Sample T-test, and Chi-squared. Table one will be ANOVA, table two will be Independent Sample T-test and Table three for Chi-squared test.
ANOVA
Table 1. Analysis of Variance (ANOVA) of child engagement by household type
| Household Income | Mean Engagement | F-value |
| Less than 30,999 | 7.3 | 2.5 |
| 31,000 or more | 8.8 | |
| Prefer not to answer | 7.0 |
Note: p<.05*, p<.01**, p<.001***
The dependent variable for this ANOVA was family involvement. This was asked on a 0 to 10 scale. The independent variable for this ANOVA was household income. Respondents chose between different ranges of income that they fell into. The mean engagement for less than 30,999 was 7.3 out of 10. The mean engagement for 31,000 or more households was 8.8 out of 10 and prefer not to answer was 7.0 out of 10. According to the ANOVA results (F=2.5), there is no significant difference between these means. Therefore, household type does not influence child engagement. Originally, there were more than three categories of income. However, I had to recode my groups in three which is referenced in chapter 2 of the statistics manual explaining how I recoded by groups. The original groups were: (1) Less than $10,000, (2) $10,000 through $30,999, (3) $31,000 through $50,999, (4) $51,000 through $70,999, (5) $71,000 through $90,999, (6) $91,000 or more, (7) prefer not to answer.
Independent Sample T-test
Table 2.
Independent samples t-test of family involvement by income
| Mean of family involvement | t statistic | df | |
| 30,999 or less | 7.29 | -2.05* | 39.25 |
| Greater than 31,000 | 8.80 |
Note. P<.05*, p<.01**, p<.001***
The mean family involvement for making 30,999 or less was 7.29 out of 10 while the mean family involvement for making greater than 31,000 or more was 8.80 out of 10. This means that there is a significant difference at the .05 level. The purpose of the Independent Sample T-test is to look at the two groups that responded with a physical dollar amount in relation to their income in order to look at if there is a difference in the relationship between how much a family makes and the involvement that family has. This was done by using the data and comparing it to the different levels. These levels are P<.05*, p<.01**, p<.001***.
Chi-squared
Table 3. Chi-squared of parent engagement by income
| Engagement | Low Income | High Income | Total |
| Low engagement | 8 | 0 | 8 |
| High engagement | 20 | 20 | 40 |
| Chi-Square | 4.95 |
Note: p<.05*, p<.01**, p<.001***
The total number of households with low engagement was 8. While the total of households with high engagement was 40. Based on these results, low and high incomes have no effect on the amount of engagement. Therefore, household incomes do not influence engagement. I found this by using Table 3 data because it shows that low engagement has a total of 8 responses in correlation to low income and zero responses in relation to high income. I did the same with high engagement. The total of high engagement with low income was 20 and the same was correct with high engagement and high income with a total of 20 for a grand total of 40. According to this data, this shows that household incomes have no effect on the amount of engagement.
Conclusion
In conclusion, analyzing the data that I gathered after looking at all the different methods and tests shows that there is no relation between family involvement and household income. These two groups are not related. According to the data, it does show that family involvement may be based on other factors that I did not test and analyze.