NRS-433V: Introduction to Nursing Research

NRS-433V: Introduction to Nursing Research.

Nrs-433v: introduction to nursing research writing-intensive course promotes the use of research findings as a basis for refining clinical practice. Quantitative and qualitative research methodologies are presented. Emphasis is on the critical review of research studies and their applications to clinical practice. Most importantly, during this nrs-433v: introduction to nursing research, a comprehensive overview of evidence-based practice is provided.

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What is nursing research?

Nursing research is research that offers evidence used to support nursing practices. Nursing, as an evidence-based area of practice, has been evolving since the time of Florence Nightingale to the present day, where many nurses now work as researchers based in universities as well as in the health care setting.

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What are the two main areas of nursing research?

There are two main areas in which nursing research largely falls into. These areas include:

  • Quantitative research.
  • Qualitative research.

Quantitative research.

Quantitative research is the process of assembling, analyzing, and evaluating numerical data. It finds patterns and averages, makes predictions, tests causal relationships, and generalizes results to wider populations.

COM-222: Small Group Communication.

Characteristics of quantitative research.

The following are the characteristics that differentiate quantitative research methods from qualitative ones:

1.       Quantitative research involves measurable variables.

Gathering data involves using instruments that measure solicit measurable characteristics of the population. Examples of these measurable characteristics include variables of study such as age, educational status, and economic status.

2.       It uses standardized research instruments.

Quantitative research methods involve the use of data collection instruments such as questionnaires, polls, or surveys. These standardized instruments guide data collection thus ensuring the accuracy, reliability, and validity of data. Moreover, pre-testing of these instruments helps determine areas in the research instruments that need revisions. Thus, it guarantees that respondents will provide expected answers or satisfies the intent of the researcher and research objectives.

3.       It assumes a normal population distribution.

Quantitative research prefers a normal population distribution curve to a non-normal conversation. Therefore, it requires a large population and adherence to the principle of random sampling to avoid the researcher’s bias in interpreting the results that defeat the purpose of the research.

4.       Quantitative research methods present data in tables, graphs, or figures.

The data found using quantitative methods are ordered using tables, graphs, or figures that consolidate large numbers of data to show trends, relationships, or differences among variables. This fosters understanding to the readers or clients of the research investigation.

5.       It uses repeatable methods.

Researchers can repeat the quantitative method to verify or confirm the findings in another setting. This reinforces the validity of groundbreaking discoveries or findings thus eliminating the possibility of spurious or erroneous conclusions.

6.       It can predict outcomes.

Quantitative models derived from data analysis can predict outcomes.  Complex mathematical computations with the aid of computers construct if-then scenarios. Thus, enabling the prediction of outcomes to the considered situation.

7.       Quantitative research methods involve the use of measuring devices.

Quantitative research involves the use of measuring devices such as advanced digital or electronic instruments to measure quantitative data from the field. These instruments provide an accurate and objective collection of data provided that these are calibrated. Calibration is the correct matching of instruments used by the researcher to the considered standard.

Qualitative research.

The qualitative method enables understanding people’s beliefs, experiences, attitudes, behavior, and interactions. It generates non-numerical data. The integration of qualitative research into intervention studies is a research strategy that is gaining increased attention across disciplines.

Characteristics of qualitative research.

1.       Natural setting.

Qualitative researchers often collect data in the field at the site where participants experience the issues or problem under study.

2.       Researcher as a key instrument.

Qualitative researchers don’t rely on questionnaires and instruments developed by other researchers. Instead, they collect data themselves through examining documents, observing behavior, and interviewing participants.

3.       Multiple methods.

They use various methods of data collection such as questionnaires, observations or interviews instead of relying on only one data source.

4.       Complex reasoning.

Qualitative researchers organize data into increasingly more abstract units of information. Thus, building their patterns, and categories using a “bottom-up” approach.

5.       Participant’s meanings.

They focus on the meaning that the participants hold about the issue rather than the meaning the researcher brings to the research.

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