The purpose of this bivariate correlation test is to examine whether math teachers’ years of service are correlated with students’ mathematics self-efficacy using the High School Longitudinal study data (National Center for Educational Statistics, 2009). The correlation test is used to determine the level of association between the two variables and the strength of the association (Frankfort-Nachmias & Leon-Guerrero, 2018). The results of the test indicate a p-value of .047, just under the conventional .05 threshold, therefore rejecting the null that there is not a statistically significant relationship between the two variables. Because of the rejection of the null, a linear regression test can be utilized to determine the strength of the relationship.
Linear Regression Test
The Linear Regression test reveals that for every year of experience a math teacher completes, students’ mathematics self-efficacy increases by .2%. Also, The standardized coefficients value is computed at a level of .017, which indicates a very slight positive correlation between the two variables as it is just above 0 (Frankfort-Nachmias & Leon-Guerrero, 2018). Such statistical data can help provide social change for educators across the globe by helping teachers remain in the field of teaching mathematics. Further, such information could entice further research in examining teacher confidence and ability to deliver seamless instruction.
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc.
National Center for Educational Statistics. (2009). High school longitudinal study [data file].