NUR 504 WEEK 3 COMPLETE DISCUSSION NUR 504 WEEK 3 COMPLETE DISCUSSION NUR504 NUR 504 Week 3 Discussions 1 Describe the quantitative design of the article you selected. Present the strengths and limitations of this type of design according to the textbook and how these are reflected in your study. Contrast the design you have selected with at least one design presented by a classmate in one of your responses. NUR 504 Week 3 Discussions 2 Describe the qualitative design (or methodology) of the article you selected. Present the strengths and limitations of this type of design according to the textbook and how these are reflected in your study. Contrast the design you have selected with at least one design presented by a classmate in one of your responses. CLICK HERE TO ORDER YOUR NUR 504 WEEK 3 COMPLETE DISCUSSION NUR 504 Week 3 Summarize Research NUR504 Week 3 Summarize Research Articles Latest Write a summary of each of the articles that you identified in Module 2. Address the following: Write one research summary that uses a quantitative research design. Write one research summary that uses a qualitative research design. Each summary should be 250-500 words and should follow the template, Summarize Research Articles. Use APA Level Heading 2 to separate the distinct parts of the study. Title of Quantitative Article (Example of text: This article was authored by Watson and James and published in the Journal of Nursing Research in 2008. This article was selected as an example of a quasi-experimental design.The model summary selected for this paper is found on page 90 to 91of the textbook.This is a summary of a quasi-experimental study in which though there is a comparison group; subjects were not randomly assigned to groups. The research article being summarized also is an experiment that used a comparison group without randomization.) Problem Statement Statement of Purpose Research Question(s)/Hypothesis Study Methods Key Findings Citation Title of Qualitative Article (Example of text:Ramirez (2008) studied adolescent depression and the influence of significant adults on the course of depression. The model summary utilized is found on page 91 of the textbook. It was selected because it is an example of a grounded theory study as is the article selected.) Problem Statement Statement of Purpose Research Question(s) Method Key Findings Citation 

ADDITIONAL INFORMATION;

Discuss strengths and limitations of qualitative design of carrying out a research

Introduction

The qualitative design of carrying out a research is the most effective method, which can be done by the researcher based on the specific goals, methods and resources available. The researcher is able to understand the context of their research in detail through using this approach. It helps in identifying various elements, which can play an important role in building up a picture of reality.

Section:

• What is qualitative design?

• Why do we use it?

• How does it differ from quantitative research design?

In order to carry out a proper qualitative study, you need to be well-versed with its basics and also know how it differs from quantitative methods. This article will help you understand these aspects better so that you learn how your own project can benefit from this technique as well!

They are particularly popular in psychology and sociology

Qualitative research is a type of research that involves the collection of data through observation, interviews, focus groups and other methods. The aim of qualitative research is to understand people’s experiences and how they perceive things around them. It can be used for a number of reasons including understanding context in which human behaviour occurs (e.g., culture), meaning behind behaviour (why people do what they do) or impact on others (how one person’s actions affect another).

They are generally regarded as not able to be generalised to the wider population

• They are generally regarded as not able to be generalised to the wider population.

• They are more specific to the context of the study and may not be useful for generating hypotheses, but can be used for assessing data and interpreting findings.

Qualitative data can also be used to generate hypotheses. The researcher may not have a clear idea of what they are looking for when they start the study and use qualitative research to generate hypotheses that can then be tested with quantitative methods.

They often draw on non-probability sampling.

Non-probability sampling is a method used in qualitative research to draw on participants who are not representative of the population under investigation. This can be useful for certain types of qualitative research, but there are several issues that you should consider before using this approach:

• The results of non-probability sampling may not generalise as well as those drawn from probability samples. This is because non-probability samples tend to be selected based on convenience rather than random selection and therefore do not necessarily represent the entire population being studied. You need to make sure that your sample has been carefully selected so it reflects your intended target audience or aims (and vice versa).

• Non-probability samples may lead to distorted perceptions and misunderstandings about what people think, which could affect how they interact with others later on down the line when asked questions during face-to-face interviews or online surveys

They generally use small sample sizes.

Qualitative research is generally more expensive to run than quantitative. It is also more difficult to recruit participants, and may be less sensitive to the context of where it is conducted.

Sample sizes can also be smaller than those used in other types of research.

Finally, if you are trying to generalise your findings from a small sample size then this can make them less useful for wider audiences

Qualitative research can be seen as “messy” and difficult to interpret. It may take a long time to complete and is often more expensive than other types of research methods.

The data collected may be difficult to analyse, requiring a skilled analyst.

The data collected may be difficult to analyse, requiring a skilled analyst. Qualitative data is often rich and complex, requiring an interpreter who understands the concepts that underlie it. This may require additional time from the researcher in order to both understand what has been done so far as well as plan for future work with this material.

In order to ensure the best possible product, it’s important to have a clear understanding of your goals and what the data is going to be used for. This will help determine whether you should use qualitative or quantitative methods as well as how much time and money should be spent on collecting data.

They can involve collecting large amounts of data over a long time period

While qualitative design can be used for a variety of purposes, it is most commonly used to collect large amounts of data over a long period. This can be difficult to do in practice and may result in poor data quality and analysis due to the time commitment involved.

The main limitation with this approach is that you have no control over how much time it takes to conduct your research. You need also ensure that your participants are comfortable talking about their experiences and providing information on demand – otherwise they will not want to continue participating!

These studies tend to rely on subjective interpretations of what is seen, heard and felt

These studies tend to rely on subjective interpretations of what is seen, heard and felt. The data collected may be difficult to analyse, requiring a skilled analyst. They can involve collecting large amounts of data over a long time period.

Cognitive science, on the other hand, is a branch of psychology that studies human thought processes. Cognitive scientists often use experiments to test hypotheses about how people think and learn. They also rely on computer simulations, brain imaging techniques and other forms of technology to study how mental processes work.

Conclusion

Qualitative design is a useful way to conduct research and can provide valuable insights into human experience. However, it does have its limitations. For example, most qualitative studies rely on interviews with small groups of people, which may not be representative of wider populations and can result in skewed results if the sample size is too small. It also relies heavily on subjective interpretations of what is seen, heard and felt by individuals that are being studied so caution should be taken when drawing conclusions about society based solely on these findings!