Offer and support an alternative perspective using readings from the classroom or from your own research in the Walden Library.
Validate an idea with your own experience and additional research.
Suggest an alternative perspective based on additional evidence drawn from readings or after synthesizing multiple postings.
Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.
1.
Inferential statistical analysis is a method used to conclude a specific population based on a sample of data from that group. The research question I have chosen is: Will providing onsite knowledgeable psychologists in the emergency room / acute care settings, improve patient outcomes through individualized care?
For this discussion post, I chose an article that applies the inferential statistical analysis method as well as other methods. “These basic methods include descriptive statistics, inferential methods for comparing groups, methods for repeated measurement, correlation coefficient methods, and multivariable regression methods” (Nieminen, Kaur, 2019). Since my topic is about mental health and its relation to educated therapists, I chose this article to a research to reflect that. This study looks at how study designs and data analysis in psychiatry studies have changed over the past 22 years. Over the past two decades, statistical practices in psychiatric journals have shifted. While traditional methods of testing statistical significance were common in 1996 and 2018, there was a rise in the use of more intricate techniques like multivariable regression models and multilevel modeling in 2018. However, computationally complex procedures such as data mining or machine learning were not embraced by psychiatric researchers during this time (Nieminen, Kaur, 2019). This article utilizes inferential statistical analysis by comparing different data analysis methods in psychiatric studies over a 22-year period. Through a review of 320 published in prominent psychiatric journals, the study looks at changes in statistical practices, such as the adoption of more complex techniques like multivariable regression models and multilevel modeling. Using inferential statistical analysis did strengthen this study because these findings indicate an evolution in statistical intensity over time, highlighting the importance of readers possessing statistical expertise to critically evaluate research findings. This underscores the need for enhanced statistical education in psychiatric undergraduate and postgraduate programs. This study strengthens evidence-based practice by thoroughly analyzing key variables like age, education, ethnicity, employment, and income. Detailed statistics provide insights into the population’s demographics and socioeconomic status, informing decision-making in healthcare and policy. Emphasizing descriptive analysis aligns with evidence-based practice, aiding the interpretation and utilization of data for informed interventions.