¶ … Nurses' Work Schedule Characteristics, Nurse Staffing, and Patient Mortality" (Trinkoff, et al. 2011 p 1). The authors argue that lower nursing staff level can lead to poor patients' outcome and poor care, however, higher nursing skills mix can assist in recording lower mortality rates. In overall, increase in a number of nursing staff is associated with improving patient outcome. The authors use the quantitative technique to collect data from 633 nurses working in different 71 acute non-federal hospitals in Illinois and North Carolina. The study also uses a generalized estimating equation to examine the hypothesis. The research examines whether the authors explicitly states the research questions or hypothesis.
Hypotheses or Research Questions
Analysis of the research reveals that the authors do not explicitly state the research questions, and the absence of the research questions is not justified because one of the main features of quality quantitative research is to state the research questions that authors attempt to answer. By stating the research questions, the readers will understand whether the authors have answered the research questions from the research findings. Moreover, stating the hypothesis is important in a quantitative research because it gives direction to a research. Thus, the hypothesis assists in the formulation of a research problem, which the authors attempt to solve.
While the authors state the hypothesis in the study, however, the hypothesis is not appropriately worded. The stated hypothesis in the study is as follows:
Hypothesis: "It was hypothesized that, in hospitals where nurses report more adverse work schedules, mortality rates will reflect poorer quality care". (Trinkoff, et al. 2011 p 2). Despite stating the hypothesis, the authors do not state the hypothesis in an appropriate format, which can make a reader missing the hypothesis. However, the authors state the study population that consists of 633 nurses working in non-federal hospitals. While variables are mentioned in the study and provide a clear specification of key variables, however, the authors do not explicitly mention the key variables, and only experienced readers can identify the variables in the study. Despite the shortcomings identified in the method used in stating the hypothesis, the hypothesis has been consistency...
Data Collection, Analysis, And Measurement Elements Identify data collection, analysis, measurement elements studies. Limit box sentences attached document. 1. Accuracy reliability instruments 2. Statistical analytic methods Note. Not studies elements, element addressed. Data Collection Elements Observation method This method is used concurrently with quantitative methods but, it is said to be comparatively entailing. As a method of gathering information, it gathers more information and has a validating aspect that these other methods lack. By
This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <
Data Collection in the Field of Human Services In the history of science and research, collecting data has always been based on empiricism. Collecting information that can be easily verifiable and validated, through means that are repeatable and information based on scientific experiments. In the field of Human Services information is collected in many different ways such as observation, questionnaire, longitudinal studies and other methods of collecting data that are newer
Data collection and analyses are important processes in research because of their role in determine research findings. The collection of data can simply be described as the process of gathering information in order to capture quality evidence that is in turn used for data analysis. On the other hand, data analysis entails measuring the collected information on variables of interest in order to develop a convincing and reliable answer to
446). Again, since data collection methods are relevant to specific research studies based on their questions, hypotheses, and literature reviews, this funneling of "phenomena of interest" should ideally suit most research studies -- so long as the those methods are tailored to meet a particular study. When researchers have narrowed down certain characteristics or behaviors that they are looking to observe in their study, they can do with a
By assigning the numerical value to all data, researcher is able to present data in tables, graph and chart to assist the presentation of the research findings. In addition, the data presented are used to compare the performances of the experimental group and control group. The graph, chart, and table are also used to make comparison of the two groups. Curricular Innovation Development The findings of the research seek to improve
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