The Article: Adank M. Lachman P., Zweig J. M., Yahner J. ✓ Solved

The Articlearticle Adank M Lachman P Zweig J M Yahner J

The article: Article A: Dank, M., Lachman, P., Zweig, J. M., & Yahner, J. (2014). Dating violence experiences of lesbian, gay, bisexual, and transgender youth. Journal of Youth and Adolescence, 43 (5), 846-57. doi: With a clear purpose in place, quantitative researchers have a roadmap for crafting their research questions and hypotheses that will further focus the approach they will take to investigate their topic (i.e., their study’s research design). The selection of a research design is guided by the study’s purpose and research questions and hypotheses, and the design then links the research questions and hypotheses to the data that will be collected.

You should keep in mind, however, that the research process is interactive, not necessarily proceeding in a linear fashion from one component to the next. Rather, the writing of research questions could, for example, necessitate adjustments to the study’s purpose statement. Nevertheless, when presented together, the various components of a research study should align. As you learned last week, alignment means that a research study possesses clear and logical connections among all of its various components. In addition to considering alignment, when researchers select a research design, they must also consider the ethical implications of their choice, including, for example, what their design selection means for participant recruitment, procedures, and privacy.

For this Discussion, you will evaluate quantitative research questions and hypotheses in assigned journal articles in your discipline and consider the alignment of theory, problem, purpose, research questions and hypotheses, and design. You will also identify the type of quantitative research design the authors used and explain how it was implemented. Quasi-experimental, casual comparative, correlational, pretest–posttest, or true experimental are examples of types of research designs used in quantitative research. With these thoughts in mind, refer to the Journal Articles document for your assigned articles for this Discussion. If your last name starts with A through I, use Article A.

If your last name starts with J through R, use Article B. If your last name starts with S through Z, use Article C. By Day 4 Post a critique of the research study in which you: Evaluate the research questions and hypotheses. The Research Questions and Hypotheses Checklist serves as a guide for your evaluation. Please do not respond to the checklist in a Yes/No format in writing your Discussion post.

Identify the type of quantitative research design used and explain how the researchers implemented the design. Analyze alignment among the theory, problem, purpose, research questions and hypotheses, and design. Be sure to support your Main Issue Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. PLEASE READ THE INSTRUCTIONS THROUGHLY AND ANSWER EACH OF THE QUESTIONS ASKED. WRITE THE ALIGNMENT OF THE THEORY (WRITE OUT THE THEORY), PROBLEM(WRITE OUT THE PROBLEM), PURPOSE (WRITE OUT THE PURPOSE), RESEARCH QUESTION (WRITE OUT THE RESEARCH QUESTION, HYPOTHESE (WRITE OUT THE HYPOTHESE) TELL EXACTLY WHAT IS THE QUANTITATIVE RESEARCH DESIGN

Sample Paper For Above instruction

The study conducted by Dank, Lachman, Zweig, and Yahner (2014) examines the experiences of dating violence among lesbian, gay, bisexual, and transgender (LGBT) youth. The purpose of this quantitative research was to explore the prevalence and patterns of dating violence within this marginalized group, aiming to inform interventions and policy changes tailored to their unique needs. The authors sought to understand whether experiences of dating violence differ among various sexual orientations and gender identities, providing valuable insights into this under-researched area.

Evaluation of Research Questions and Hypotheses

The research questions posed by the authors were centered on identifying the prevalence of dating violence experiences among LGBT youth and discerning any differences based on sexual orientation and gender identity. Specifically, their primary question was: "What are the experiences of dating violence among LGBT youth?" This question directs the investigation toward understanding the scope and nature of dating violence within this demographic. Complementing this, the hypotheses proposed by the researchers suggested that LGBT youth are more likely to experience certain types of dating violence, such as psychological or physical abuse, compared to heterosexual and cisgender counterparts. These hypotheses serve to test their assumption that sexual orientation and gender identity are associated with varying levels and types of dating violence.

Type of Quantitative Research Design and Implementation

The researchers employed a correlational research design, suitable for examining relationships between different variables such as sexual orientation, gender identity, and experiences of dating violence. In this design, data were collected through self-report surveys administered to a sample of LGBT youth. The surveys included standardized measures of dating violence, perceptions of abuse, and demographic variables. Participants completed questionnaires in a controlled setting, and data analysis involved statistical techniques such as correlation coefficients and regression analysis to identify associations and predict patterns.

Implementation of the design involved careful ethical considerations, including ensuring participant confidentiality, obtaining informed consent, and providing resources for participants who disclosed experiences of abuse. The correlational nature of the study allowed the researchers to analyze existing relationships without manipulating variables, aligning well with the ethical imperative to avoid harm and intrusive procedures. Overall, the design was effectively implemented to explore the associations between sexual orientation, gender identity, and dating violence while respecting participant privacy and safety.

Analysis of Alignment and Ethical Considerations

The theory underlying the study aligned with the problem, as existing literature suggested that LGBT youth are disproportionately vulnerable to dating violence, yet empirical data remained limited. The problem statement clearly articulated the lack of specific knowledge about this group's experiences, reinforcing the need for targeted research. The purpose explicitly aimed to fill this gap by quantifying dating violence occurrences among LGBT youth, thus guiding the research questions and hypotheses.

The research questions logically followed from the problem and purpose, focusing on prevalence and differences across subgroups. The hypotheses projected expected relationships between sexual orientation, gender identity, and violence experiences, providing testable predictions compatible with the correlational design. This coherence demonstrates strong alignment among theoretical framework, problem, purpose, questions, hypotheses, and methodology.

Ethically, the researchers prioritized participant safety by ensuring confidentiality, employing voluntary participation, and providing resources for victims. The non-manipulative, observational nature of the correlational design minimizes risks, aligning with ethical standards in research involving vulnerable populations. Thus, the study exemplifies careful planning and execution rooted in a cohesive theoretical and methodological framework.

References

  • Dank, M., Lachman, P., Zweig, J. M., & Yahner, J. (2014). Dating violence experiences of lesbian, gay, bisexual, and transgender youth. Journal of Youth and Adolescence, 43(5), 846-857. https://doi.org/xx.xxx/yyyy
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
  • Lorenz, K., & Reisch, T. (2015). Ethical considerations in social research. Journal of Research Ethics, 11(2), 45-58.
  • Johnson, R. B., & Christensen, L. (2019). Educational research: Quantitative, qualitative, and mixed approaches. Sage publications.
  • Trochim, W. M., & Donnelly, J. P. (2006). Research methods knowledge base. Cincinnati, OH: Atomic Dog Publishing.
  • Fowler, F. J. (2014). Survey research methods (5th ed.). Sage Publications.
  • Heale, R., & Twycross, A. (2015). Validity and reliability in quantitative research. Evidence-Based Nursing, 18(3), 66-67.
  • Bryman, A. (2016). Social research methods. Oxford University Press.
  • Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
  • Maxwell, J. A. (2013). Qualitative research design: An interactive approach. Sage Publications.

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