Review of the Literature in the Research Report
There are a lot of theories about psychological concepts, but they can be divided into five main categories. Biological processes, unconscious drives, learned behaviors, cognitive frameworks, personal experiences, and personal growth were among the topics covered by the various categories, which provided a variety of perspectives on understanding human behavior and psychology. Although each concept has its own advantages and disadvantages, when combined, they offer a more complete comprehension of human behavior (Mcleod, 2023)
The behavioral concept provides a unique perspective on individuals by focusing on the ways in which environmental factors influence observable behavior and responses (Li et al., 2021). In contrast, the psychodynamic theory places emphasis on the role that childhood experiences and unconscious thoughts play in shaping adult behavior. These experiences frequently serve as strong predictors of a person’s response to familiar stimuli (Immordino-Yang et al., 2019).
PSYC FPX 4600 Assessment 4 Research Report
In many cases, the suspicion that an understudy’s identity influences their scholarly exhibition is in light of basic variables connected with their ethnic foundation. Phojanakong et al. claim that in 2019), students from minority ethnic groups may face difficulties in their day-to-day lives, such as limited access to healthcare facilities and food insecurity, which can have a negative impact on both their academic performance and mental health. According to Phojanakong’s research, there may be a connection between a student’s academic performance and ethnicity.
Students from ethnic minority groups may experience significant mental strain as a result of the rising incidence of racial and ethnic discrimination in the United States. Students who have been discriminated against are more likely to experience stress (Weeks and Sullivan, 2019). The creators examined information from an example of more than 60,000 understudies in the US and saw that understudies having a place with ethnic minority bunches had more prominent possibilities of encountering tension, conduct issues, and despondency. A link between a student’s mental health and their ethnic background is supported by the research.
Verkuyten et al. claim that 2019), students’ development of coping mechanisms that detract from their academic pursuits can result from the existence or potential of racial discrimination. According to the study, factors like ethnic diversity in the classroom, teacher-student relationships, and the existence of multicultural educational environments can influence student disengagement. The study also came to the conclusion that minority ethnic students may need to strike a balance between various aspects of their lives, which may have an impact on their academic performance.
Strategies
Members
The overview was led at an optional school and regulated through Google Structures, bringing about a sum of 30 reactions. The review sorted the grades of the members into five levels, with 1 showing the most reduced grade and 5 demonstrating the most noteworthy grade. The exploration likewise gathered data on the members’ nationality, orientation, and job in the school (i.e., understudy or educator) and coordinated the information in a Succeed table. Nonetheless, it’s vital to consider segment factors, for example, age bunch, sex, race, and language, while directing an examination that includes socioeconomics (Hayes, 2021). Mishra and Co. 2019) have suggested that if the sample size does not control for variables like social status, literacy rate, and socioeconomic status, there may be variations in the demographic data, which could have an impact on the results of the study. According to Hoijtink et al., it is necessary to carry out a single-factor ANOVA analysis while controlling for these factors in order to achieve consistent results. 2019).
Measures
I used correlational research to determine the relationship between students’ ethnicity and their grades. According to van Schalkwyk (2023), correlational research is a method for examining and interpreting relationships between various variables, identifying trends and patterns in collected data, and analyzing those trends and patterns to ascertain whether or not there is a correlation between the variables. This kind of examination is helpful for distinguishing relationship among factors, and it empowers scientists to recognize possible connections between factors of interest.
PSYC FPX 4600 Assessment 4 Research Report
My study’s quantitative data were gathered and organized thanks to correlational research. I utilized a single-factor analysis of variance (ANOVA) to investigate the relationship that existed between the independent and dependent variables. When there is only one independent variable, this statistical analysis technique is typically used to confirm or reject hypotheses based on small sample populations (Gomila, 2020). The single-factor ANOVA is a useful tool for determining whether there are significant differences between groups and is an efficient method for comparing means across groups.
Procedure
I used Google Forms to conduct a survey that included multiple-choice questionnaires to collect quantitative data. Quantification and tabulation of data for statistical analysis were made easier with this method. This study only included teachers who volunteered their time and minority ethnic students. In order to guarantee the validity and accuracy of the findings, efforts were made to control variables like social status and educational quality throughout the study (Atinc & Simmering, 2021). To gather information for this review, online stages, for example, Google Structures, were utilized to convey overviews to the members. Simple and pertinent multiple-choice questions were the format of the surveys. The students were first asked about their ethnicity, and then they were asked about their grades in various subjects. In addition, teachers were required to fill out a separate form in which they were asked to report the typical grades that students from ethnic minority groups received in each subject as well as the typical grades that other students received. The collected data were then examined.
Given that this study involved quantitative research, efficient methods for collecting and analyzing quantitative data were essential. Numerical values that can be measured and analyzed to establish direct relationships between variables are referred to as quantitative data (Wiss et al., 2021).
Microsoft Excel was used to compile and organize the questionnaire data. To break down the information, single-factor ANOVA was performed. Microsoft Succeed was chosen as the product for information investigation since it offers many measurable capabilities for organized quantitative information, like single-factor ANOVA. The results were looked at by Heuer (2020) to see if there was a statistically significant correlation between the independent and dependent variables.
PSYC FPX 4600 Assessment 4 Research Report
Results In a secondary school, a Google Forms survey was given to 30 people, including 14 teachers and 16 students. On a scale from 1 to 5, with 5 representing the highest grade, the respondents’ professions and grades were the focus of the survey. The information was hence coordinated and investigated utilizing Microsoft Succeed to recognize any possible connections between’s the factors (Heuer, 2020). The participants’ ethnicity, which was divided into three groups, as well as their grades in six subjects, were included in the data. The data were analyzed using single-factor ANOVA in Excel to investigate the possibility of a correlation between the independent variable (student ethnicity) and the dependent variable (grades earned by students).
ANOVA provides insight into the variation in the data. Source of Variation: SS df MS F P-value F crit Between Groups: 208.4314 16 13.02696 9.186952 5.3 1.664052 Within Groups: 699.0667 493 1.417985 Total: 907.498 509. The study’s analysis revealed that there was no significant correlation between the student’s grades and their ethnic background. The hypothesis that proposed a significant relationship between the independent variable (student ethnicity) and the dependent variable (grades earned by students) is not statistically significant at the chosen level of significance, as indicated by the p-value of 0.05. Moreover, the SS esteem was 208.43, which is higher than the limit worth of 5, recommending no connection between’s the factors.
The impact size was estimated utilizing the estimated time of arrival and F basic. The determined worth of the estimated time of arrival was 0.9018, and the worth of F basic was 1.664263. The hypothesis was not supported because the eta was lower than the F critical. According to these findings, the students’ grades in the six subjects analyzed in this study did not appear to be significantly influenced by their ethnic background.
Conversation
PSYC FPX 4600 Assessment 4 Research Report
The consequence of this exploration is that there is no huge connection between the identity of the understudies and their instructive presentation. Ethnicity and educational disengagement (Verkuyten et al., 2019) and mental health (Weeks & Sullivan, 2019) are both correlated with ethnicity, so the findings are significant in line with expectations. 2019), and nationality and admittance to medical care (Phojanakong et al., 2019).
Although the study was conducted in a secondary school, the findings can be applied to any educational establishment. It follows that comparative examination in a comparative setting will likely yield comparative outcomes (Wiss et al., 2021). For instance, this study’s findings can be assumed to apply to both universities and high schools. Additionally, the findings can be used in settings similar to schools, such as daycare centers and nursing schools.
However, the study is limited by the unique dynamics of the secondary school studied, the small sample size, and other socioeconomic factors. These could be the students’ social status, their financial situation, the literacy of their parents, or the quality of the education they receive at school (Atinc & Simmering, 2021).
The outcomes don’t uphold the social idea in light of the fact that the previous encounters of the understudies showed no importance in their instructive execution. It follows that the mental hypothesis expands with the understanding that the nationality of understudies could assume a conclusive part in their life, including their instructive exhibition (Knekta et al., 2019). In this study, however, it was not observed to be the case.
Summary and conclusion
The purpose of the study was to investigate the connection between the ethnicity of the students and their grades-based academic performance. The identity of the understudies filled in as the free factor in this review, while their grades in school were the reliant variable. The underlying speculation recommended that there was a critical connection between an understudy’s identity and their scholarly presentation. Review techniques were utilized to gather information. The statistical analysis was carried out using the one-factor ANOVA method. The study’s scope, sample size, and sampling location all contributed to its limited scope. The findings indicated that the hypothesis was incorrect. In conclusion, the student’s grades are unaffected in any plausible or significant way by their ethnicity. There is no link between the two factors.
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
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
Hayes, A. (2021, July 28). Demographics. Investopedia. https://www.investopedia.com/terms/d/demographics.asp
Heuer, A. (2020). Research data management. It – Information Technology, 62(1), 1–5. https://doi.org/10.1515/itit-2020-0002
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
Immordino-Yang, M. H., Darling-Hammond, L., & Krone, C. R. (2019). Nurturing nature: How brain development is inherently social and emotional, and what this means for education. Educational Psychologist, 54(3), 185–204. https://doi.org/10.1080/00461520.2019.1633924
Li, X., Zhou, Y., Wong, Y. D., Wang, X., & Yuen, K. F. (2021). What influences panic buying behavior? A model based on dual-system theory and stimulus-organism-response framework. International Journal of Disaster Risk Reduction, 64. https://doi.org/10.1016/j.ijdrr.2021.102484
Mcleod, S. (2023, February 20). Psychology perspectives | SimplyPsychology.
https://simplypsychology.org/perspective.html
Phojanakong, P., Brown Weida, E., Grimaldi, G., Lê-Scherban, F., & Chilton, M. (2019). Experiences of racial and ethnic discrimination are associated with food insecurity and poor health. International Journal of Environmental Research and Public Health, 16(22).
https://doi.org/10.3390/ijerph16224369
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
Verkuyten, M., Thijs, J., & Gharaei, N. (2019). Discrimination and academic (dis)engagement of ethnic-racial minority students: a social identity threat perspective. Social Psychology of Education, 22.
https://doi.org/10.1007/s11218-018-09476-0
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
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