PSYC FPX 4600 Assessment 3 Data Analysis and Interpretation

In the data analysis and interpretation section, the data get tested through statistical or numerical data analysis methods. In this research, the ANOVA single-factor test will be used to analyze and interpret data for the hypothesis results. The data will be analyzed through statistical APA style. It is the most widely and commonly used method to report research findings (Kyonka et al., 2019).

Interpret Statistical Findings

The statistical findings on the behalf of ANOVA results declared that ethnicity among communities or students has no significant impact on the grades and educational performance of the students (Hoijtink et al., 2019). Students and professors feel no difference among students based on their culture, gender, color, or race. This study develops a pathway for future researchers to examine other discrimination factors and evaluated their impact on the academic record of students. The given table showed the statistical findings on independent and dependent variables.

ANOVA

PSYC FPX 4600 Assessment 3 Data Analysis and Interpretation

The one-way ANOVA explained that the impact of ethnicity on students’ grades is near zero, p= 3.15. I found a statistical significance of 688.5 which neglects the hypothesis. ANOVA single factor test is applied to have mean values of the obtained data. Variance is also calculated to determine the similarity between dependent and independent variables. ANOVA test delivers p values greater than 0.05 which means that the null hypothesis is dominant. The obtained p values are 3.15 which is much greater than 0.05. It means ethnicity has no significant impact on the grades and academic performance of the students. Most of the respondents considered ethnicity as a secondary factor that influences the grades and educational performance of students. The value for df of the Single ANOVA test is also high which neglects the hypothesis. Results obtained through ANOVA explain that students’ grades and academic performance may be influenced by some other factors like personal abilities, domestic values, and financial status. It means the educational sector has significantly overcome racial discrimination.

Demographic Statistics

For the statistical analysis, there is a need to consider some factors relevant to demographics such as race, age, and sex (Petritis & PhD, 2018). The demographic results can vary due to socioeconomic information such as education and social status (Mishra et al., 2019). In the statistical analysis using ANOVA single factor the demographic questions are included to determine the qualifications, gender, work experience, and age of the responders. Respondents of ages ranging from 15-55 are included in the study with 10 years scale. Thirty responses are conducted to have real-time data about the hypothesis. Google form is used to collect the data and obtained responses are recorded in Excel. Similarly, the gender of responders also scaled. So, the results declared that ethnicity among communities or students has no significant impact on the grades and educational performance of the students (Hoijtink et al., 2019).

References

Hoijtink, H., Mulder, J., van Lissa, C., & Gu, X. (2019). A tutorial on testing hypotheses using the Bayes factor. Psychological Methods, 24(5), 539–556. https://doi.org/10.1037/met0000201

Kyonka, E. G. E., Mitchell, S. H., & Bizo, L. A. (2019). Beyond inference by eye: Statistical and graphing practices in JEAB , 1992-2017. Journal of the Experimental Analysis of Behavior, 111(2), 155–165. https://doi.org/10.1002/jeab.509

Mishra, P., Singh, U., Pandey, C., Mishra, P., & Pandey, G. (2019). Application of student’s t- test, analysis of variance, and covariance. Annals of Cardiac Anaesthesia, 22(4), 407. https://doi.org/10.4103/aca.aca_94_19

Petritis, B., & PhD. (2018, November 20). t-test & ANOVA (Analysis of Variance). RayBiotech.com. https://www.raybiotech.com/learning-center/t-test-anova/

PSYC FPX 4600 Assessment 3 Data Analysis and Interpretation