NUR 504 SUMMARIZE RESEARCH ARTICLES ASSIGNMENT NUR 504 SUMMARIZE RESEARCH ARTICLES ASSIGNMENT NUR504 Details: 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. These article summaries will form the basis of the Critique of Research Studies Parts 1-3 assignments in modules 4, 6, and 8. Prepare this assignment according to the APA guidelines found in the APA Style Guide, located in the Student Success Center. CLICK HERE TO ORDER YOUR NUR 504 SUMMARIZE RESEARCH ARTICLES ASSIGNMENT This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment; therefore, students should review the rubric prior to beginning the assignment to become familiar with the assignment criteria and expectations for successful completion of the assignment. You are not required to submit this assignment to Turnitin, unless otherwise directed by your instructor. If so directed, refer to the Student Success Center for directions. Only Word documents can be submitted to Turnitin. NUR 504 Summarize Research Articles Directions: Use the templates below when summarizing your research articles. Include a cover page, and start a new page for each article summary. Use level 1 and 2 headings when composing the summaries to separate distinct parts. 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 quantitative research design articles

Introduction

Quantitative research design is an important part of any scientific study. It helps you gather the data needed for a study, and it’s crucial to make sure that the design complies with ethical guidelines. This article will explain how each type of quantitative research design works and what makes them different from one another as well as discuss their advantages and disadvantages.

Explain how the design complies with ethical guidelines.

ethical guidelines are important. It is a good idea to explain how the design complied with them and what were the ethical guidelines.

– The design brief and its specifics are important. It is a good idea to explain how the design complied with it and what were the requirements.

– The design brief and its specifics are important. It is a good idea to explain how the design complied with it and what were the requirements. – The design brief and its specifics are important. It is a good idea to explain how the design complied with it and what were the requirements.

Provide an example of each type of quantitative research design used in the articles.

The first article discussed the impact of a medication on children with attention deficit hyperactivity disorder (ADHD). A randomized controlled trial was used to study this effect, and it found that the drug increased cognitive function but had no effect on behavior disorders.

The second article focused on how people respond to stress by developing social anxiety disorder or post-traumatic stress disorder (PTSD). It compared these two populations using a randomized controlled trial design that allowed researchers to compare their results before and after taking part in an intervention study. This type of study showed that participants who received treatment were significantly less likely than those who did not receive it to develop PTSD symptoms over time; however, neither group showed significant improvements in their ability to control their emotions when faced with stressful situations later down the line

Discuss how each study addressed the potential for bias.

The potential for bias is inherent in all research designs. For example, if you are going to ask participants about their experiences with a particular product or service, it is possible that some people will have more positive experiences than others and therefore may be more likely to give favorable responses. This type of bias can be introduced by the researcher as well as by the participants themselves if they feel pressured into providing answers that please you (or your boss), then your results may not reflect what really happened in reality.

Another form of bias occurs when an individual who does not have any special knowledge about your topic comes up with a conclusion based on his or her own personal beliefs rather than facts from evidence-based research. Another way this can happen is through sampling error; if you only include certain types of people in your sample (for example white males aged 25–34 living outside large cities), then those individuals’ opinions won’t represent everyone else’s opinions regarding this topic!

Identify key components of quantitative research designs.

Quantitative research designs can be broken down into three components: construct, context and population. The construct is the element of the study that you are studying; for example, in a survey design you would be asking questions about how people feel about something or what they find important in their lives. The context is where your respondents live or work (e.g., rural vs urban), while the population includes all those who participate in your study (e.g., adults).

The last component is also known as sampling design, which refers to choosing participants within a desired population based on some criteria such as age and gender distribution.

Survey research is one of the most common and cost-effective ways to collect data. It can be used for both quantitative and qualitative studies, but it’s more commonly used for quantitative ones because of its ability to produce large sample sizes quickly. You can also use survey research when you have a specific population in mind (e.g., all people who live in New York City), but need additional information that can only be collected through interviews or surveys.

Discuss whether limitations were identified in the research process.

The limitations of your study are important because they can help you improve future research. If a limitation is serious, it may be appropriate to conduct follow-up studies or use other methods to get more information about it.

For example, if you had low response rates for your survey, this could have affected your findings. You might want to try again with better recruitment strategies (for example, by using social media) so that everyone who wants to participate has access to the survey and feels comfortable sharing their responses with others in their community.

For other limitations that don’t affect quantitative research design outcomes directly but are still worth considering:

Identify major advantages and limitations of quantitative research designs.

When you are first learning about quantitative research designs, it is important to understand the advantages and limitations of this type of study.

• Advantages: Quantitative studies can be objective, meaning that they do not rely on personal opinions or feelings. This makes them very useful for scientific research where there is no room for bias or mistakes in data collection and analysis. Because a study’s methodology is clearly stated in advance, others have an opportunity to replicate your results if they wish—providing additional validity for your findings.

• Limitations: Although quantification provides some benefits over other types of data collection (e.g., human observation), it also has its own set of drawbacks that must be considered when planning your project’s design and implementation process

Describe when a quantitative research design would be appropriate to use, and when it would not be appropriate.

A quantitative research design is appropriate when you want to measure something that is easily quantifiable or collect data from a large number of people. For example, if you’re looking at the relationship between two variables (e.g., age and salary), then a survey would be an appropriate way to gather this information.

A quantitative research design would not be appropriate if:

• You want an overview of how each variable contributes towards your overall conclusion

• You want to understand why one variable has an impact on another variable

Quantitative data is very useful but the designs have their problems

Quantitative data is very useful, but the designs have their problems.

• It’s objective: quantitative data can be collected in a controlled environment, so it’s easy to make sure that you have correct answers and there are no mistakes.

• It’s reliable: because the responses are recorded, you can be sure that they didn’t change during collection. You don’t need to worry about whether your respondents remember what they said before or after taking the survey (or even if they’re remembering things correctly).

Conclusion

The purpose of quantitative research is to answer questions. The first step in doing this is to identify a question that can be answered by empirical evidence. Once you have a question, it is important to understand the audience (who will be reading your paper) and then design an appropriate study so they can understand it. Finally, once all of these steps are completed successfully then you need to publish your findings so others may benefit from them as well!