Classification of Data Collection and Analysis Depending on the Research Methodology Employed - Assignment Example

Data Collection and AnalysisIntroduction The research study can be classified in varied ways depending on the research methodology employed. This is because there are different types of research methods including quantitative, qualitative, applied research, experimental, quasi-experimental, meta-analysis, descriptive and other methods (Creswell, 2003). However, this dissertation will concentrate on quantitative type of research methods, which is commonly employed in many research fields. This research is significant because it is based on surveys, experimental and other various research methods.

Therefore, the dissertation will utilize this research method in order to determine whether the leadership styles employed by both directors of nursing and social serves have a positive impact in the psychological well- being of nursing home residents.Data collectionThe dissertation will employ varied data collection methods that are mostly used in quantitative research methods such as experiments, sample surveys, case studies, questionnaires and interviews.Experiments: The research will collect data through the use of experiments that may involve completing various tests for measuring the leadership abilities.

The researcher will then compare and contrast various results obtained from different tests. The aim of the tests is to judge leadership styles employed by both directors or measure their so-called aptitude (Fulton, Lyon and Goudreau, 2010). However, it will focus on the relations between their performance level and other factors. The researcher may be interested in observing the way both directors reacts or behaves before or after the intervention programs such as training. This will enable the researcher to compare the leadership styles between the director of nursing and director of social services effectively.

Sample surveys: The researcher will gather information from a fairly larger sample group of participants by use of questionnaires, interviews, observation and other techniques. The effective means of carrying out survey is to sample the population at a time (Thomas, 2003). In this case, the researcher will survey the nursing home residents in order to determine the effective services they receive from both directors.Case studies: This usually involves detailed research analysis on a certain case or group of people (Bernard, 2000).

Various data collection methodologies such as interviews, questionnaire and observation, may be applied in this case. For instance, the researcher may interview both leaders about their personal records of leadership performance. He or she will narrow the results in descriptive data, in the environmental settings; thus challenging the existing theories or approaches of the domains.Data AnalysisThe dissertation will use specific data analysis such as descriptive analysis, ANOVA, MANOVA and concept analysis.

Descriptive analysis: This method can utilize quantitative research method in analyzing data for the problem under study. Descriptive data analysis is essential because it will enable the researcher to investigate the problem through observing, interviewing or use of case studies to provide the required results. This research in unique because it includes multiple variations and it can use the method of analysis for both variables through testing. This is essential because it might yield rich and adequate data on the problem under study.

Concept analysis: This type of analysis is significant and it is mostly used in nursing research. The researcher will use it in the dissertation because it will offer critical analysis of the concept used in literature, quantitative and other methods. The purpose is to provide clear understandings, clarifications and validations of concepts used in the dissertation; thus moving to another level of investigation (Thomas, 2003).MANOVA and MANCOVA analysis: These methods of analyzing data depend on multiple variables unlike that of ANOVA, which has only one dependent variable.

However, the discrepancies lie between the independent variability in numbers. They are effective because they will enable the researcher to examine multiple dependent variables among the independent groups.ReferencesBernard, H. R. (2000). Social research methods: Qualitative and quantitative approaches. Thousand Oaks, Calif: Sage Publications.Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed method approaches. Thousand Oaks, Calif: Sage Publications.Fulton, J. S., Lyon, B. L., & Goudreau, K. A. (2010).

Foundations of clinical nurse specialist practice. New York: Springer.Thomas, R. M. (2003). Blending qualitative & quantitative research methods in theses anddissertations. Thousand Oaks, Calif: Corwin Press.Sapsford, R., Jupp, V., & Open University. (2006). Data collection and analysis. London: SAGE