Coun 515 Project Proposal Writing Results And Discussion Opt

Coun 515project Proposal Writing Results And Discussion Option 1 Inst

This assignment includes 4 simulated research studies. For each study, analyze the following: the study design used, whether it accurately tests the null hypothesis, if the correct statistical test is used, whether the results are statistically significant at p

Sample Paper For Above instruction

The first research study investigates emotional intelligence among substance abusers entering residential treatment. The study employs a quantitative, observational design, using a convenience sample of 40 participants who completed the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). The null hypothesis posits no difference between substance abusers and the general population’s emotional intelligence scores. As the study aims to compare a sample mean to a known population mean, a single sample t-test is appropriate, which was correctly used in this case. The results yielded t(39) = -4.446, p = .000, indicating statistical significance. Since p is less than .05, the null hypothesis is rejected, suggesting substance abusers have significantly lower emotional intelligence scores than the general population. The implications are substantial for counseling, emphasizing the importance of emotional regulation training in treatment programs, which could enhance treatment outcomes by targeting emotional deficits. This study correctly aligns its design with the hypothesis and employs valid statistical analysis, strengthening the reliability of its findings.

The second study examines employment patterns among graduates of a Master of Arts in Addictions Counseling (MAAC) program. It utilizes a descriptive, cross-sectional design with a chi-square goodness-of-fit test to analyze categorical employment data from 30 alumni. The null hypothesis states that employment frequencies are equally distributed among three job types: residential treatment, community agency, and private practice. Because the goal is to assess whether observed frequencies deviate from expected frequencies, the chi-square test is appropriate. The analysis results in X²(2, N=30) = 0.80, p = .670, indicating no significant difference in employment distribution across the categories. The null hypothesis is therefore not rejected. The findings suggest that employment opportunities are relatively evenly distributed among the three employment sectors, which informs curriculum planning to prepare students for diverse job markets. Overall, the study employs an appropriate design and statistical test to accurately address its research question, offering valuable insights into employment trends in addiction counseling.

The third study focuses on evaluating the efficacy of adding Mindfulness Therapy to standard treatment for alcohol dependence. It applies a randomized controlled trial with two matched groups: one receiving standard treatment and the other receiving additional Mindfulness Therapy. The score on the Alcohol Dependence Scale (ADS) post-treatment serves as the outcome measure. An independent samples t-test was used to compare the two groups, which is suitable for examining differences between two independent groups. The analysis shows t(19) = 1.554, p = .137, indicating no statistically significant difference between the groups. Since p exceeds .05, the null hypothesis cannot be rejected, suggesting that adding Mindfulness Therapy did not significantly improve treatment outcomes in this sample. The implications include the need for further research with larger samples or different methodologies to determine the usefulness of Mindfulness Therapy for alcohol dependence. Although the study’s design is appropriate, the results highlight the importance of rigorous statistical analysis and the need for continued investigation in this area.

The fourth study assesses the effectiveness of a technology-based counseling delivery system for residents in remote, underserved areas. It employs a between-groups design with random assignment to face-to-face or video conference counseling, with the Alcohol Dependence Scale (ADS) as the outcome measure. An independent samples t-test was used, which is appropriate for comparing the two independent groups. The analysis yields t(38) = 0.258, p = .798, indicating no significant difference between delivery methods. With p well above .05, the null hypothesis is supported, suggesting that video conferencing is equally effective as face-to-face counseling in this context. The findings have critical implications for expanding access to care through telehealth, especially for underserved populations. The study correctly uses a suitable statistical test, and the results endorse the feasibility of remote counseling modalities. Overall, this research demonstrates that technological delivery systems can be a viable option for expanding counseling services in remote areas without compromising effectiveness.

References

  • American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
  • Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Pearson.
  • Levin, K. A. (2006). Study design III: Cross-sectional studies. Evidence-Based Dentistry, 7(1), 24-25.
  • Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer.
  • Graves, C., & Lévesque, J.-F. (2021). Telehealth and remote counseling: A review of efficacy and implementation. Journal of Telemedicine and Telecare, 27(4), 233-240.
  • Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185-211.
  • Baumeister, R. F., & Vohs, K. D. (2016). Handbook of self-regulation: Research, theory, and applications. Guilford Publications.
  • Wampold, B. E., & Imel, Z. E. (2015). The great psychotherapy debate: The evidence for what makes psychotherapy work. Routledge.