PSYC FPX 4600 Assessment 3 Data Analysis and Interpretation PSYC FPX 4600 Research Methods in Psychology
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Data Analysis and Interpretation
In the data analysis and interpretation section, statistical or numerical methods are utilized to evaluate the data. For this research, the ANOVA single-factor test will be employed to analyze and interpret the data related to the hypothesis results. The analysis will conform to the statistical APA style, which is commonly used for reporting research findings (Kyonka et al., 2019).
Interpretation of Statistical Findings
The statistical findings obtained from the ANOVA results indicate that ethnicity among communities or students does not have a significant effect on grades and educational performance (Hoijtink et al., 2019). Both students and professors do not perceive any differences among students based on cultural background, gender, color, or race. This study opens avenues for future researchers to investigate other discriminatory factors and evaluate their impact on students’ academic records. The table below presents the statistical findings concerning the independent and dependent variables.
ANOVA:
| SOURCE OF VARIATION | SS | df | MS | F | P-Value | F-crit |
|---|---|---|---|---|---|---|
| BETWEEN GROUPS | 132.2473 | 16 | 8.265458 | 7.250311 | 3.15E-15 | 1.664263 |
| WITHIN GROUPS | 556.3269 | 488 | 1.140014 | |||
| TOTAL | 688.5743 | 504 |
The one-way ANOVA indicates that the effect of ethnicity on students’ grades is minimal, with a p-value of 3.15. A statistical significance of 688.5 is observed, which contradicts the hypothesis. The ANOVA single-factor test is utilized to derive mean values from the data and to calculate variance, assessing the relationship between the dependent and independent variables. ANOVA yields p-values exceeding 0.05, indicating the predominance of the null hypothesis. The obtained p-value of 3.15 is significantly greater than 0.05, suggesting that ethnicity does not significantly influence grades and academic performance. Most respondents view ethnicity as a secondary factor affecting students’ grades and educational outcomes. Furthermore, the high degrees of freedom (df) in the Single ANOVA test also refute the hypothesis. The results from ANOVA imply that factors such as personal abilities, family values, and financial status may have a more substantial impact on students’ grades and academic performance, underscoring the educational sector’s advancements in addressing racial discrimination.
Demographic Statistics
For statistical analysis, it is essential to consider demographic factors such as race, age, and gender (Petritis & PhD, 2018). Demographic results may vary due to socioeconomic factors, including education and social status (Mishra et al., 2019). In the statistical analysis using the ANOVA single factor, demographic questions are included to determine respondents’ qualifications, gender, work experience, and age. Respondents aged 15-55 are included in the study, with a 10-year age range. A total of thirty responses are collected to obtain real-time data for the hypothesis. Google Forms is used to gather data, and the responses are recorded in Excel. Consequently, the results confirm that ethnicity among communities or students does not significantly impact grades and educational performance (Hoijtink et al., 2019).
References
Hoijtink, H., van der Ark, L. A., & van der Linden, W. J. (2019). The impact of ethnicity on academic performance: A meta-analysis. Educational Research Review, 26, 100-115. https://doi.org/10.1016/j.edurev.2019.100115
Kyonka, E., McCarthy, J., & Smith, R. (2019). Reporting statistical findings in APA style: A guide for researchers. Journal of Educational Psychology, 111(3), 456-467. https://doi.org/10.1037/edu0000345
Mishra, S., Gupta, A., & Sharma, R. (2019). Socioeconomic factors influencing academic performance: A study of students in higher education. International Journal of Educational Management, 33(5), 1023-1035. https://doi.org/10.1108/IJEM-09-2018-0285
PSYC FPX 4600 Assessment 3 Data Analysis and Interpretation
Petritis, D., & PhD. (2018). The role of demographic fac