NURS 350 Assignment Quantitative and Qualita
NURS 350 Assignment Quantitative and Qualita
This week, you will submit summaries of quantitative and qualitative studies. The purpose of this assignment is to become familiar with published research, research designs, and methodologies. For the assignment, you will select two original or primary research studies: one quantitative research study and one qualitative study related to the field of nursing. You will write an abstract of each study.
The selected articles should be original research studies.
Review articles, concept analysis, meta-analysis, meta-synthesis, integrative review, and systemic review should NOT be used.
Mixed-methods studies should not be used.
Assignment Instructions:
Your abstracts should begin with the APA Style reference to the research article that is reviewed
Your abstracts should be written in your own words. (The abstracts within the studies your choose will not answer all of the assignment questions.)
Your abstracts should be accurate, brief, clear, between 150–250 words, and include only the most essential information.
Use current APA Style to format your paper and to cite your sources.
You are required to attach both research studies (the full articles) that you use to write your abstracts.The original research study articles may be copied onto a Word document or saved in a PDF format.
NOTE: Because submission of the original articles is part of the assignment requirements and is necessary for grading, any assignment submitted without the accompanying articles will be considered incomplete. according to NURS 350 Assignment Quantitative and Qualita An incomplete assignment will be initially assigned a zero. The student has the opportunity to submit articles to complete the assignment. However, if these are submitted after the due date and time, the late penalty will apply. After five days, submissions will not be accepted per University policy, and the grade will remain a zero.
Address the following questions in each of your abstracts:
1. What type of research is it (quantitative, qualitative)?
2. What was the research question(s) or hypothesis?
3. What is the sample (population), the sample size, and sample attributes (characteristics)?
4. What is the setting (facility type, location, and country) of the study?
5. What were the researcher’s results and findings? (Identify one that clearly measures the dependent variable or objective of the research.)
Review the rubric for further information on how your assignment will be graded.
What is qualitative research, and why does it matter?
NURS 350 Assignment Quantitative and Qualita confirms that Qualitative research is seen to be especially well suited to exploratory research (e.g. during the pilot stage of a research project, for example). It is primarily used to learn more about individual experiences, views, attitudes, and trends, as well as to delve deeper into the topic at hand.
A qualitative researcher’s data gathering toolbox is fairly diverse, spanning from entirely unstructured to semi-structured procedures.
The most often used Qualitative Research Methods:
Interviews with individuals
Discussions in groups
Focus groups are small groups of people who come together to
Observations on behavior
Interview
How Does Eye Tracking Work and What Is It?
Individual examples and subjective experiences are typically the focus of qualitative research. This necessitates an iterative study design, in which data collection and research questions are updated as new information becomes available.
Frequently, qualitative projects are conducted with a small number of participants and are intended to provide insight into the context of an issue, as well as serve as a source of inspiration for ideas for following quantitative investigations.
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What is quantitative research, and how can it be assessed?
Quantitative research is all about numbers and figures, to put it simply. It is used to quantify opinions, attitudes, behaviors, and other identified factors in order to confirm or reject hypotheses regarding a specific phenomenon, as well as to potentially contextualize the study sample’s findings in a larger community (or specific groups).
accordimng to NURS 350 Assignment Quantitative and Qualita, Quantitative data collection is considered to be considerably more structured than qualitative data collection since quantitative research expressly describes what is measured and how it is measured in order to find patterns in – for example – behavior, motivation, emotion, and cognition.
See How to Do Behavioral Coding in iMotions for further information.
Techniques of quantitative research
Questionnaires and surveys, organized interviews, and behavioral observation based on explicit coding and categorization schemes are all examples of quantitative approaches.
survey
Biosensor recordings such as eye tracking, EEG, EDA / GSR, EMG, and ECG, as well as computer-guided automatic facial expression analysis processes, are used in addition to these classic techniques.
See What Is Facial Expression Analysis? for more information. (How Does It Work, Anyway?)
All of these methods quantify behavioral processes in such a way that numerical results can be obtained – for example, eye tracking fixation duration (which represents the amount of visual attention), the number of GSR peaks (which indicates the amount of physiological arousal), or the power of a specific EEG band.
the many measurements imotions infographic cheat sheet
Take a look at these infographics: Measuring, analyzing, and comprehending human behavior is the study of human behavior.
Non-parametric methods can be subjected to quantitative analytic techniques and statistics, such as t-tests and ANOVAs, after data gathering. In comparison to qualitative research, this frequently demands considerably larger sample sizes, but it allows you to draw more solid conclusions that are supported by facts.
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Is it better to do a qualitative or quantitative research study?
NURS 350 Assignment Quantitative and Qualita states that In the end, the option to do a qualitative or quantitative study is yours to make; however, you should base your selection on the nature of your project, the type of information you need, and the resources available to you. Qualitative research will provide you with a deeper understanding of your research challenge and, perhaps, will assist you in answering your hypothesis. Quantitative research will enable you to scale your study to produce larger sets of data for dependability and validity. You can achieve objectivity by combining the two.
Measurements that are free of bias
The following criteria are used to characterize this in general:
Objectivity
The most general condition is objectivity, which means that no matter who uses the measures, they should provide the same outcome. They should also produce the same results regardless of external circumstances. A multiple-choice personality questionnaire or survey, for example, is objective if the results are the same whether the individual responds vocally or in writing. Furthermore, the outcome should be independent of the experimenter’s knowledge or attitude, so that the results are solely based on the respondent’s performance.
Reliability
according to NURS 350 Assignment Quantitative and Qualita, when a measure gives the same value under consistent conditions, it is considered to have high reliability. Reliability is divided into various subcategories. For example, “retest reliability” refers to a measure’s consistency over time, “inter-rater reliability” to the extent that different experimenters give consistent estimates of the same behavior, and “split-half reliability” to the extent that the two parts of a test produce identical results.
Validity
This is the most important and last requirement. It reflects how well a measure collects the information it is designed to collect. Consider a study that collects data on body size in order to determine its association with happiness. Obviously, the measure is objective and dependable (body size measurements are very consistent regardless of who does the test), but it is a poor measure for happiness construct validity (i.e., its capacity to really capture the underlying variable).