The Outcomes Of A Therapy Can Be Researched Quantitatively

this study is the use of convenience sampling, as previously mentioned. Black et al. (2000) make

·  How were measures of variation used in the study? What conclusions can you draw based on the variation?

This project will employ a Population-Intervention-Comparative-Outcome (PICO) fromat for development of the research question to be investigated:

While these studies provide positive results the draw back to them are that the sample groups for each were considerably small which means that there is insufficient evidence to support

A PICOT question is formulated in order to assist the researcher in obtaining answers to a specific question, decreases the uncertainty surrounding the issue, and provides a systematic approach to achieve an answer (Melnyk, & Fineout-Overhold, 2013). The authors find that each component of the PICOT question drives the next step of the evidence based practice process. First, a specific population must be determined by controlling the group to a certain age range or special sub-group. By compiling a specific group the clinician is more likely to formulate better evidence to support the issue. Next, an intervention is introduced and can be a therapy, test, disease process, etc. The authors conclude that, “the more specifically the intervention or issue of interest is defined, the more focused the search will be” (p.29). Then, a comparison group is added, but only necessary if completing a quantitative study. Lastly, an outcome is determined of which the study will reveal by a given time period.

2. What data and method does the author use to evaluate this intervention? Why was that data and method used?

The results of the study were not useful to the population over a months’ time but over the years the study many show signs of progress (Rolleri, Wilson, Paluzzi, and Sedivy, 2008).

It is important to use outcome measures that are evidence based because they prove that something was successful or unsuccessful. Using Outcome measures that are evidence based allow clinicians see specifically how a treatment effected the clients.

The first step in the analysis was to categorize each patient by whether or not they passed the clinical threshold during their treatment and if their change was reliable. Clinical cutoff scores and Reliable Change Indexes (RCI) for the PHQ-9 and GAD-7 were obtained from past research [@Delgadillo2012; @Griffiths2015; @Kroenke2001; @Spitzer2006]. Clinical cutoff scores for the BASE-6 were obtained from unpublished pilot research and corresponded to the clinical cutoff of the commonly used OQ-45 measure.

The lesson and case studies presented for evaluation was a great learning exercise. A better understanding of how to interpret data was gained. Also, weighing the clinical significance versus the statistical significance to show relevance is invaluable. All research is not quality research and one must be equipped to recognize bias, threats to validity and proper population representation. Moreover, critiquing the credibility of a study is essential to the health care advances.

Mean performance for all participants was measured for each phase to determine overall improvement. The procedure for calculating the percentage of nonoverlapping data (PND) was used to determine the effectiveness of the intervention. AIMSWeb computation CBM was also used for benchmark scores. AIMSWeb computation CBM probes were also measured monthly from September to December to determine follow-up performance. The scores were categorized as being very low performance (below 10th percentile), low performance (between 11th and 25th percentile), and average performance (between 26th and 75th

Outcome evaluations cannot prove that the changes measured in client outcomes are due to the program alone

| Based on explicit knowledge and this can be easy and fast to capture and analyse.Results can be generalised to larger populationsCan be repeated – therefore good test re-test reliability and validityStatistical analyses and interpretation are

This study was limited due to the small sample size. Although the conclusions are valid, more research with a

Quantitative studies are primarily numbers based. They deal with large cohort groups as well as analyze large amounts of data. “A quantitative