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PSYC FPX4600 Assessment 2 Research Proposal

Research Proposal

Ethnicity plays a decisive role in everyone’s life. It determines their lifestyle, traditions to be followed, and their perception of the world. Children show considerable differences in behavior with differences in their ethnicity. Debesay et al. (2022) observed that students’ academic performance also differed with their ethnic background. The hypothesis for my research is: “The ethnicity of the students has a significant impact on the grades obtained by the students.” The independent variable is the ethnic background of the students, while the dependent variable is their grades. The control variables are the social status of the students, their financial condition, and the quality of education provided by the school.

PSYC FPX4600 Assessment 2 Research Proposal

Methods

Sampling

I will use the random sampling method because it will reduce biases in selecting sampling data. It also increases the probability of replication of results (Xu, 2019). I will recruit my sample from secondary schools.

Measures

I will use correlational research to measure the correlation between two variables in my hypothesis: the ethnicity of the students and the impact it has on their grades. Correlational research seeks and interprets relationships between and among categories of facts. This type of research highlights trends and patterns in collected data and analyzes them to see if there is a correlation between the categories of collected data and those categories (van Schalkwyk, 2023). 

Correlational research will allow me to gather and organize quantifiable data. I will use single-factor ANOVA (Analysis of Variance) to see whether there is a correlation between dependent and independent variables. Single-factor ANOVA is most commonly used when only one independent variable approves or rejects hypotheses that make generalizations based on a small sample population (Gomila, 2020).

PSYC FPX4600 Assessment 2 Research Proposal

Procedure 

I will use the survey method to collect quantitative data. Surveys will be distributed using Google Forms and use questionnaires with multiple choices. Using close-ended questions will allow me to quantify data, organize it in tables, and run statistical analyses. 

Only volunteer students from minority ethnicity or volunteer teachers will participate in this research. Control variables such as social status, financial condition, and education quality should be kept constant (Atinc & Simmering, 2021). 

Online platforms like Google Forms will be utilized to disseminate surveys among participants. It will use multiple-choice questions to ask simple and relevant questions. Participating students will select their ethnicity first and then select their grades in different subjects. Teachers will fill out a separate form asking them what grades students of ethnic minorities usually score in their subject and what grades other students get. The gathered data will then be analyzed.

It is essential to use methods that will allow the gathering and analysis of quantitative data. Quantitative data is numeric and gauges direct correlation between variables (Wiss et al., 2021).

Data from questionnaires will be collected and organized in a table using Microsoft Excel. The data will be analyzed using single-factor ANOVA. Microsoft Excel will be used because it can perform different statistical operations including single-factor ANOVA on tabulated quantified data. The results will be interpreted to see if there is a plausible correlation between the independent and dependent variables (Heuer, 2020). 

References

Atinc, G., & Simmering, M. J. (2021). Control variables in management research. Oxford Research Encyclopedia of Business and Management. https://doi.org/10.1093/acrefore/9780190224851.013.221 

Debesay, J., Arora, S., & Fougner, M. (2022). Organizational culture and ethnic diversity in nursing homes: A qualitative study of healthcare workers’ and ward nurses’ experiences. BMC Health Services Research, 22(1), 1–14.

PSYC FPX4600 Assessment 2 Research Proposal

  https://doi.org/10.1186/s12913-022-08184-y 

Gomila, R. (2020). Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis. Journal of Experimental Psychology: General. https://doi.org/10.1037/xge0000920 

Heuer, A. (2020). Research data management. It – Information Technology, 62(1), 1–5. https://doi.org/10.1515/itit-2020-0002

van Schalkwyk, G. I. (2023). Editorial: Best practices for correlational research in CAPMH. Child and Adolescent Psychiatry and Mental Health, 17(1). https://doi.org/10.1186/s13034-023-00562-6 

Wiss, D. A., Brewerton, T. D., & Tomiyama, A. J. (2021). Limitations of the protective measure theory in explaining the role of childhood sexual abuse in eating disorders, addictions, and obesity: an updated model with emphasis on biological embedding. Eating and Weight Disorders – Studies on Anorexia, Bulimia and Obesity. https://doi.org/10.1007/s40519-021-01293-3 

Xu, A. (2019). Evaluation of sampling methods for the detection of pathogenic bacteria on pre-harvest leafy greens. Food Microbiology, 77, 137–145. https://doi.org/10.1016/j.fm.2018.09.007 

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