Gender Stereotypes: Data Presentation Strategy

Data Presentation Strategy

On the one hand, the idea of presenting data with the help of the natural strategy is quite legitimate. Indeed, representing the information in the order that the feminist issues evolve in contemporary society could be an option. However, the phenomenon of gender issues is very complex, which requires introducing data on several levels and, therefore, making the outcomes rather convoluted (Patton, 2002).

Instead, the approach that implies detailing information from most simple to most complicated is perfectly suitable in the identified situation. Allowing a researcher to create a pattern of the problem development and serving as the foil for the introduction of the audience to the available solutions, the strategy in question can be deemed as appropriate. In other words, a case study approach in data reporting could be utilized (Patton, 2002). It is crucial to create the impression of building the audience’s experience in the subject matter as the narration progresses.


As stressed above, there is a strong need to connect the factors that promote gender stereotypes in women, as well as those that inhibit the development of gender biases. Seeing that the subject matter has been developing over time and was affected by a range of societal factors, there is a reason to represent the information in the form of a case study, i.e., from the basic one to the most convoluted issues (Creswell, 2012). By focusing on the lack of gender equality in modern society, one is likely to contribute to the promotion of understanding, tolerance, and equity on a global scale, therefore, making the world a better place.

Ensuring Credibility, Dependability, and Transferability

Credibility and transferability will be enhanced by using the tools that will help reduce research bias (Hart, 2007). For instance, it will be a necessity to consider the rival opinions on the subject matter and view them as legitimate arguments (Creswell, 2012). Although debunking the latter will still be a necessity to make a point and get the message of the research across, the ideas of the opposing side should also be presented and analyzed with due care and diligence.

Dependability, in its turn, will be addressed by keeping the process of research logical and coherent (Hart, 2007). By documenting the data carefully and eliminating any possibility of data misinterpretation, one will be able to make the study results dependable. Finally, the transferability of the research will be ensured by incorporating certain generalizations in the findings interpretation process. As a result, the outcomes of the study will apply to the general audience (Winter, 2000).

Pre-Understanding, Preconceptions, and Biases

Pre-understanding, preconceptions, and biases will be managed by using only trustworthy sources in peer-reviewed journals. Similarly, the problems above can be addressed by reviewing the opponents’ opinions and evaluating them as legitimate statements (Patton, 2002).

By being more open to new ideas and tolerant to controversial concepts, the researcher will reduce the threat of preconceptions and biases affecting the study results and their interpretation, thus, making the research outcomes trustworthy (Hart, 2007). It may arguably take a significant effort to overcome personal biases that the researcher has about the subject matter. Indeed, gender issues affect the communication process, and, therefore, altering them will cause radical changes in the communication process among representatives of different genders.

Looking at the Topic From a Quantitative Perspective


Perceived Gender Stereotypes in the Contemporary U.S. Society and Their Effect on Women’s Social, Economic, and Political Engagement


Gender stereotypes and their effects on the extent, to which women are politically, economically, and socially active in the modern society

Problem Statement

Despite years of equality promotion, gender issues remain a controversial topic. Although technically being entitled to the same rights that men are, women display a considerably lower level of social, economic, and political engagement. Seeing that the stereotypical image of a woman is still foisted on the female population in the modern media, it is necessary to identify to what extent the stereotypes reinforce the lack of activity in the identified domains.

Research Question

How large is the correlation between the current rates of social, political, and economic engagement among women and the gender stereotypes that persist in the contemporary social environment?

Research Methodology (Quantitative)

To identify a possible correlation between the two variables, inferential statistics will have to be used (Walker, 2005). By incorporating the specified approach into the study, one will be able to locate the connection between the stereotypes that are currently promoted in American society and the behavioral patterns displayed by women.

Research Design (Approach)

Seeing that the research question focuses on the quantitative aspect of the relationships between the variable, there is a strong need to quantify the data and, therefore, use a correlational quantitative research design (Johnson, 2001).

Sampling Plan

A simple random sample of 20 data pieces will be taken from the target population. It is expected that the latter should consist of 100 participants aged 21-65.


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Patton, M. Q. (2002). Qualitative analysis and interpretation. In Qualitative research & evaluation methods: Integrating theory and practice (pp. 520-651). Thousand Oaks, CA: SAGE Publications.

Hart, M. (2007). Birthing a research project: Design. International Journal of Childbirth Education, 22(1), 22–26. Web.

Winter, G. (2000). A comparative discussion of the notion of ‘validity’ in qualitative and quantitative research. The Qualitative Report, 4(3/4), n. p. Web.

Johnson, B. (2001). Toward a new classification of nonexperimental quantitative research. Educational Researcher, 30(2), 3–13. Web.

Walker, W. (2005). The strengths and weaknesses of research designs involving quantitative measures. Journal of Research in Nursing, 10(5), 571–582.