Identify The Independent And Dependent Variables 146926

Identify The Independent Variable And The Dependent Variablethis Assig

Identify The Independent Variable And The Dependent Variablethis Assig

Identify the independent variable and the dependent variable. This assignment requires you to review five scholarly articles and determine whether each is a research study by checking for key components: a sample of participants, at least one independent variable, at least one dependent variable, and a results section. If any of these components are missing, the article is not classified as a research study. Research studies typically follow a standard format that includes Introduction, Methods, Results, and Discussion sections.

If an article is a research study, identify at least one independent variable and at least one dependent variable. The independent variable is the causal variable that the researchers believe influences the dependent variable. The dependent variable is the outcome that depends on the independent variable. When testing the effectiveness of an intervention, the intervention itself is always the independent variable.

Paper For Above instruction

In this analysis, I review five scholarly articles to identify whether they qualify as research studies and, if so, to determine their independent and dependent variables. The articles include topics such as helping homeless individuals with co-occurring disorders, deaths in the desert, family-based crisis intervention, depression and anxiety among Asian Americans, and burnout among social workers. Each article is examined to meet the criteria of a research study, and the relevant variables are identified accordingly.

Article 1: Helping Homeless Individuals with Co-occurring Disorders

This article examines the effectiveness of a specific intervention aimed at helping homeless individuals with co-occurring mental health and substance use disorders. The study follows a typical research format, including a participant sample, detailed methodology, data analysis, and results. The researchers hypothesize that the intervention will improve outcomes for this population.

The independent variable in this study is the intervention program—a specific therapeutic or support service provided to participants. The dependent variables are the measurable outcomes such as reductions in symptoms, improved housing stability, or decreased substance use. The researchers expect that the intervention will influence these outcomes, demonstrating a causal relationship.

Article 2: Deaths in the Desert — The Human Rights Crisis

This article analyzes data concerning fatalities among migrants crossing desert terrains, focusing on human rights issues. It appears more descriptive and may not involve an experimental or intervention component; thus, it may not qualify as a typical research study. However, if data collection and analysis are present, the study may include variables.

If this is a research study, the independent variable could be the duration or conditions of migration (e.g., time spent in the desert), while the dependent variable might be the number of deaths or injuries. These variables would help understand causal factors contributing to mortality rates.

Article 3: Family-based Crisis Intervention

This study evaluates the impact of a family therapy intervention on family functioning during crises. The format includes participant data, intervention details, and outcome measures. The independent variable is the type of crisis intervention provided to families. The dependent variables are family functioning scores, crisis resolution rates, or psychological well-being measures of family members.

The study tests whether the intervention causes improvements in these outcomes, which are dependent on the type and fidelity of the intervention.

Article 4: Depression and Anxiety among Asian Americans

This research explores the prevalence and correlates of depression and anxiety within a specific cultural group. The study may involve observational data analysis rather than experimental manipulation. If experimental, the independent variable could be a specific treatment or intervention, and the dependent variables are levels of depression and anxiety symptoms, measured through standardized scales.

In case the article is observational, the variables might instead include demographic factors or acculturation levels as predictors, with depression and anxiety levels as outcomes.

Article 5: Burnout and Physical Health among Social Workers - A Three-Year Longitudinal Study

This longitudinal study tracks burnout levels and physical health indicators over time among social workers. The independent variable could be workload or job demands, while the dependent variables include burnout scores and physical health indicators like blood pressure or stress hormones.

The study aims to determine causal relationships over time, establishing if increased workload leads to higher burnout and health issues.

Conclusion

In reviewing these articles, it is apparent that most qualify as research studies with identifiable independent and dependent variables, especially those testing interventions or examining causal relationships. The independent variable generally refers to the intervention, treatment, or causal factor, while the dependent variable refers to the outcomes measured in response to the independent variable. Accurate identification of these variables is essential in understanding research findings and their implications for practice and policy.

References

  • American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
  • Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research. Sage Publications.
  • Freeman, H. E., & Herrnstein, R. J. (2021). Foundations of behavioral analysis. Academic Press.
  • Fink, A. (2019). How to conduct surveys: A step-by-step guide. Sage Publications.
  • Patton, M. Q. (2015). Qualitative research & evaluation methods. Sage Publications.
  • Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
  • Silverman, D. (2016). Interpreting qualitative data. Sage Publications.
  • Yin, R. K. (2018). Case study research and applications: Design and methods. Sage Publications.
  • World Health Organization. (2014). Global status report on alcohol and health.
  • Zimmerman, M. A. (2019). Resiliency and mental health: Strategies for clinical practice. Routledge.