Minimum Of 350 Words Required: Frame Your Responses In T

A Minimum Of 350 Words Requiredframe Your Responses In The Terms Of T

A minimum of 350 words required. Frame your responses in the terms of the research proposal that you are developing. If you are unable to fit these topics to your particular design, you can explain why it would not work for your research (perhaps it would violate the ethics code). Illustrations of why something will not work can be as valuable as illustrations of why they will. Topic: Non-experimental Methods Select one of the non-experimental methods that you read about this week (naturalistic observation, ethnography, case history, sociometry, archival study, survey, and correlational research), and describe how you might use this method to study your hypothetical research question (the one being used for your research proposal). References must include at least one from Bordens, K. & Abbott, B. (2013). Research Design and Methods: A Process Approach (9th ed.). Franklin Park, IL: McGraw-Hill. 1. Why did you select this particular method for your research study? 2. What do you like and dislike about this method? 3. What differentiates this non-experimental method from a true experiment?

Paper For Above instruction

In the development of research methodologies, selecting the appropriate non-experimental method is crucial for accurately studying human behaviors and social phenomena without manipulating variables. For my hypothetical research question—examining the influence of social media on adolescent self-esteem—the most suitable method I opted for is a survey. This decision stems from the method's efficiency in collecting data from a sizable population, allowing me to identify correlations between social media use and self-esteem levels cohesively.

The reason I chose a survey is its ability to reach a large, diverse group of adolescents across different demographics, providing quantitative data that can be statistically analyzed. Surveys are cost-effective and less invasive, which is particularly important when working with minors. They also facilitate the collection of self-reported data directly related to participants' perceptions and attitudes, aligning well with the cognitive and emotional aspects I wish to explore in relation to social media use and self-esteem.

One aspect I appreciate about surveys is their flexibility and scalability. They can be administered online, which is particularly fitting when studying social media influence, as digital platforms are already familiar to participants. Additionally, standardized questions promote consistency, enabling comparisons across different subgroups. However, disadvantages include the potential for response biases—such as social desirability or inaccurate self-assessment—which can threaten data validity. Moreover, surveys often cannot establish causality but only correlations, which limits their explanatory power regarding the influence of social media on self-esteem.

Compared to a true experiment, which involves manipulating independent variables and controlling extraneous factors to determine causal relationships, the survey method is observational and correlational in nature. Non-experimental designs like surveys do not allow researchers to definitively establish cause-and-effect relationships because they lack random assignment and control over variables. Instead, they help identify potential associations. For example, while a true experiment might manipulate social media exposure to observe changes in self-esteem, a survey simply observes existing patterns without interference, thus emphasizing association over causation.

Referring to Bordens and Abbott (2013), the main difference lies in the objective: experiments aim to determine causal relationships through manipulation and control, whereas survey research seeks to describe and find correlations within naturally occurring variables. This distinction guides the selection of methodologies based on research questions and ethical considerations. Overall, the survey method's non-intrusive nature and capacity for broad data collection make it fitting for preliminary investigations into social phenomena like social media's impact, despite its limitations in establishing causality.

References

• Bordens, K., & Abbott, B. (2013). Research Design and Methods: A Process Approach (9th ed.). McGraw-Hill.
• Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.
• Gravetter, F., & Forzano, L. B. (2018). Research Methods for the Behavioral Sciences (6th ed.). Cengage Learning.
• Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches. Pearson.
• Smith, J. A., & Heshusius, L. (1986). Closing down the Conversation: The end of the quantification era in educational research. Educational Researcher, 15(2), 4-12.
• Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26.
• Coker, N. (2016). Qualitative research methods. Routledge.
• Maxwell, J. A. (2013). Qualitative Research Design: An Interactive Approach. SAGE Publications.
• Palinkas, L. A., et al. (2015). Mixed method designs in implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533-544.
• Leedy, P. D., & Ormrod, J. E. (2014). Practical Research: Planning and Design. Pearson.