Evaluate the effectiveness of the research design of the study for two of the examples provided.

Experimental, quasi-experimental, and nonexperimental research

The first example provided is a study conducted to examine the relationship between depression and inflammatory markers. In this study, researchers selected a sample of 152 subjects from two tertiary teaching hospitals in Jordan who met their criteria for major depressive disorder. Subjects were then divided into 2 groups: Group 1 (N=78) received standard antidepressant treatment while Group 2 (N=74) received both standard antidepressant therapy and lifestyle modification counseling. The researchers used an array of laboratory tests to measure levels of inflammation biomarkers such as C-reactive protein, interleukin-6, and tumor necrosis factor alpha before and after 8 weeks of treatment. Results showed that the combination therapy was more effective at reducing inflammation biomarker levels compared to standard antidepressants alone which suggests that lifestyle modification counseling could help improve outcomes in patients with depression.

This research design is an effective method for evaluating the impact of combined therapies on depression because it uses two distinct comparison groups that are similar in terms of demographics and other factors related to clinical diagnosis. Additionally, it utilizes well-established measures for assessing inflammation biomarkers which strengthens the reliability and validity of the results obtained from this study.

The second example provided is a study examining how nurse staffing affects quality care outcomes in nursing homes in France. Researchers used data collected from over 130 nursing homes throughout France including information on various aspects of care delivery such as number and type of staff employed, types of services offered, residents’ characteristics etc.. Results revealed that higher staffing was associated with better performance on quality indicators across all types settings examined which suggests that adequate staffing can lead to improved patient outcomes.

This research design is also effective because it uses large scale data collection methods coupled with descriptive statistics analysis to evaluate associations between different variables related to nurse staffing level and patient outcomes. Additionally, by examining different types nursing home settings (rural vs urban; traditional vs non-traditional) they have been able to gain greater insight into how variations in circumstances may affect overall results making their findings more generalizable beyond just one specific context or setting.