Assignment Description:
Qualitative Research

Write a fully developed and detailed APA essay addressing each of the following points/questions. There is no required word count; be sure to completely answer all the questions for each question in detail. Separate each section in your paper with a clear heading that allows your professor to know which bullet you are addressing in that section of your paper. Support your ideas with at least one (1) source using citations in your essay. Make sure to cite using the APA writing style for the essay. The cover page and reference page are required. Review the rubric criteria for this assignment.

Conduct a literature search to select a qualitative research study on the topic identified in Module 1. Conduct an initial critical appraisal of the study.

Respond to the overview questions for the critical appraisal of qualitative studies, including:

What type of qualitative research design was utilized to conduct the study?
Are the results valid/trustworthy and credible?
How were the participants chosen?
How were accuracy and completeness of data assured?
How plausible/believable are the results?
Are implications of the research stated?
May new insights increase sensitivity to others’ needs?
May understandings enhance situational competence?
What is the effect on the reader?
Are the results plausible and believable?
Is the reader imaginatively drawn to the experience?
What are the results of the study?
Does the research approach fit the purpose of the study?
How does the researcher identify the study approach?
Are the data collection and analysis techniques appropriate?
Is the significance/importance of the study explicit?
Does the literature support a need for the study?
What is the study’s potential contribution?
Is the sampling clear and guided by study needs?
Does the researcher control selection of the sample?
Do sample size and composition reflect the study needs?
Is the phenomenon (human experience) clearly identified?
Are data collection procedures clear?
Are sources and means of verifying data explicit?
Are researcher roles and activities explained?
Are data analysis procedures described?
Does analysis guide directions of sampling when it ends?
Are data management processes described?
What are the reported results (descriptive or interpretation)?
How are specific findings presented?
Are the data meanings derived from data described in context?
Does the writing effectively promote understanding?
Will the results help me care for my patients?
Are the results relevant to persons in similar situations?
Are the results relevant to patient values and/or circumstances?
How may the results be applied to clinical practice?
Please be sure to answer the questions thoroughly using complete sentences and APA format. Explain responses to yes/no questions in detail by presenting information found in the study to support your response.

Provide a reference for the article according to APA format and a copy of the article.

M3 Assignment UMBO – 4
M3 Assignment PLG – 2
M3 Assignment CLO – 4, 5

Assignment Instructions and Specifications
Submitting Your Work
Assignment Rubric
Start by reading and following these instructions:
Study the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.
Consider the discussion and the any insights you gained from it.
Review the Assignment Rubric and the specifications below to ensure that your response aligns with all assignment expectations.
Create your Assignment submission and be sure to cite your sources, use APA style as required, check your spelling, and review the rubric.
The following specifications are required for this assignment:
Length: Clearly and fully answer all questions; attach a copy of the article
Structure: Include a title page and reference page in APA format. Your essay must include an introduction and a conclusion.
References: Use appropriate APA style in-text citations and references for all resources utilized to answer the questions. A minimum of one (1) scholarly source for the article is required for this assignment.
Format: Save your assignment as a Microsoft Word document (.doc or .docx)
Filename: Name your saved file according to your first initial, last name, and the assignment number (for example, “RHall Assignment 1.docx”)

This will be from the Module 1 that is being written now. Maybe the same writer can do this essay. Thank you.




Introduction (150)

Quantitative research is the investigation of phenomena that give themselves to exact measurement and quantification, which attached a rigorous and controlled design (Polit & Beck 2008). It’s has main purpose is to measure concept or variables objectively in numerical and statistical process, also relationship between variables (Parahoo 2006). The research methods are obtained from research design and generally include sample, intervention (if applicable), instruments, data collection, and data analysis (eds. Joyce & Meredith 2006). In many instances, the quantitative research needs such as questionnaires or interview, computers and large sample sizes.

This article is to explore of a quantitative research by Kalij and William (2009) the view of its data objectivity, sample size and selection, process data collection, data presentation and analysis, using the relevant references to support this discussion. The objectives are to prove with evidences if the Khalij and William’s study (2009) fulfills the requirements of quantitative research.

Objectivity (150)

Objectivity is amount of involvement of the researcher relates during the collection and analysis of the data (Marcella n.d.a). Polit and Beck (2008) argued objectivity meant researcher tend to stay away any impression of subjectivity or impersonal during study process. Parahoo (2006) explained the data which collected and analyzed are expected to be free from bias between researcher and participants.

It means the researcher is detached or does not active participate from practice and there is no intervention between researcher and participant. Also the participants use the same actual measurements for data collection. Further the bias of research can be minimized and the objectivity of the study can be maximized.

In The Kalish and William’s study (2009) showed that they did not participate and used measurements to collect the data. It showed in their study that during data collection, they involved staff nurses in four hospitals and used psychometric testing tool.

Hard data (148)

Hard data is characteristic of quantitative study. Polit and Beck (2008) said that quantitative data are the information obtained during process of study course in a quantified (numeric value). (Janet Houser 2008) argued the other numerical data specific patient’s symptoms put in rank order the scales which contained intervals, comparisons between subjects. Other instance the researchers with rigorously designed tools should be able to grasp the reality (Parahoo 2006). For example scale of depression and pain in numeric value.

That means the data can be measured and quantified in some way. In the nursing practice we always face with the hard data. For instance are physical (height, weight, gender), physiological (vital signs, laboratory results, visual acuity), past medical histories, psychological and social or behavior.

This data are shown in Kalish and William’s study (2009) during their study while collected data: sample size, genders, experience, education degree, and work location in quantified data.

Statistic (142)

Statistic is very important aspect in the quantitative research. After data are collected can be analyzed using statistic and presented in numerical form. Polit and Beck (2008) said that statistic is an estimate of a parameter, calculated from sample data. They emphasized statistics are used to test hypotheses and evaluate the believability of the finding. Researchers usually use statistical computer to expedite calculation and ensure accuracy (ed. Joyce and Meredith 2006). They mentioned statistic methods are used in every process include in the final report to search the correlations, comparisons of means, trend and significance of finding to refute hypothesis. It’s reinforce that statistic is one of characteristic in quantitative research.

It’s applied in Kalish’s study process while selecting data sampling and analyzing data which showed in the tables and the data was analyzed by statistical computer, descriptive statistic and inferential statistic.

Sample selection (269)

Janet Holt (2009, p. 235) said that sampling is the process to select a small group of participant for study with the goal of making generalization from large population based on findings. Polit and Beck (2008) argued that sampling is the process of selecting portion of the population to represent from the entire population element. There are differentiation ways in sample selection; sampling designs, sample size and sampling steps.

Polit and Beck (2008) mentioned that there are two sampling designs; probability sampling and non probability sampling. Probability sampling contents; simple random, stratified random, cluster and systemic sampling. The non probability sampling has contents; convenience, quota and purposive sampling.

Janet Houser (2008) explained sample size in quantitative research to determine sample in adequacy is power. It’s an analysis to indicate the large of sample which needed to adequately detect a difference in result variable.

Polit and Beck (2008) suggested the steps in this research sampling as follow; the population identify, the specific eligibility criteria, the specific sampling plan and sample recruitment. They emphasized researcher during sample recruitment to gain the participant cooperation use means of courtesy, persistence, incentives, research benefits, sharing results, convenience, and endorsement.

This study sample collection was implemented in the kalish’study. They used random sampling to collect the participant data from four hospitals in different unit. The study used N symbol which designed for the total number, and n symbol is designed for number of subject. They took large sample size with total samples (N=1098). They applied ratio of sample size during sample collection. They gained the participant cooperation which provided incentives (jumbo-sized candy and bar a pizza party).

Data collection (285)

Parahoo (2006) said data collection is methods to measure the data sampling which utilized the instrument tools: questionnaires, observation schedule and other measuring tools. He emphasized that the methods should be predetermined, structured and standardized.

Polit and Beck (2003) developed data collection plan include identifying data needs, selecting types of measures, selecting and developing instruments, pre testing the data collection package, and developing data collection forms and procedures. They stressed Important aspects should be considered while implementing the data collection plans are the selecting research personal and personal and the training data collector.

Nancy and Susan (2007) explained data collection is the process of obtaining the subject and collecting the data for the research. They explained five tasks during data collection process: recruiting subjects, maintaining consistency, maintaining controls, protecting study integrity, and solving the problem. Structure, quantifiability, obstrusiveness, and objectivity are important elements when selecting data collection instruments (Marcella n.d.a).

We have to understand and maintain the important dimension the data collection methods when applied in the data collection plan, and implementing. The obtained data should be accurate, valid, and meaningful to respond the questions.

Kalish and William implemented the data collection process in their study. They applied the approaching methods to maintain the important dimensions in data collection such as a tool of missed nursing care and reason for missed care. The Data collection plan used to identify data needs for instance in the describing sample characteristic of participants (table 2.). They construct the tool in their survey to gain the quantify data. While implementing data collection, they selected research personal is staff nurse experts. The training data collector was done which distributed a copy of tool, informed consent form and a letter explaining the study.

Data analysis and presentation (299)

Joyce and Meredith (ed. 2006) said data analysis is a systematic method of examining data gathered for any research investigation to support hypothesis. This system implements in the data analysis process: the data analysis preparation, the sample description, reliability of measurement test, exploratory analysis conduction, exploratory analysis, confirmatory analysis and posthoc analysis conduction (Nancy & Susan 2007).

Parahoo (2006) stated analysis data can be obtained from measurement level, and then analyzed with statistical level. He mentioned two statistic levels those are descriptive statistic and inferential statistic. There are several statistical computer programs (SPSS, SAS, LISREL, EQS, etc) which help the researcher to calculate these test statistics and their sampling distribution (eds. Joyce & Meredith 2006).

Marcella (n.d.b) explained there are two types of inferential statistics are parametric (t-test, ANOVA, Multiple regressions) and non parametric (Chi-square, Rank Correlation, Mann-Whitney U, Kruskal-Wallis).

Quantitative research result may be presented in the tables, charts and graphs (Michael, Patricia & Frances, 2007, cited Russell, 2005).

In conclusion that data analysis is systemic method of examination data started from data collection which used measurement level then data were analyzed by statistical level and presented in the tables, charts and graphs to support hypothesis.

Kalish and William’s study (2009) implemented the data analysis process which utilized measurement level and statistical level which completed using SPSS in their study. First step is checking of data accuracy using ordinal scale. The second is describing sample, they use central tendency and dispersion to test the contrast validity. The third is testing the reliability of measurement, they applied cronbach alpha coefficient. Fourth they conducted exploratory analysis as the extraction technique and varimax as orthogonal rotation method, also analyzed using oblique rotation. Fifth they conducted the confirmatory analysis used AMOS version 16. Last step they used analysis of variance (ANOVA) to conduct posthoc analysis. Result study was presented in the table presentation.

Conclusion (118)

This essay has tried to explore the Kalish and William’s study (2009) about the development and psychometric testing of a tool to measure missed nursing care. Their study has approached and fulfilled the major requirement of quantitative research characteristics that include objectivity, hard data and statistic.

They applied quantitative study process which consists of conceptual, design and planning, empirical, analytic and dissemination phase as suggested by Polit and Beck (2004). They also utilized data analysis process of Nancy and Susan (2008).

In general view of Kalish and William’s study (2009) has applied the quantitative research systematically. Improvement progress monitoring was done, but effectiveness overview the tool is still recommended to apply in the base practice for long period.


1. Carol L. Macnee & Susan Mc. Cabe (2008) Understanding nursing research: using research in evidence-base practice, 2nd ed. Philadelphia: Lippincott and William a Wolter Kluwer Business.

2. Denise F, Polit & Cheryl Tatano Beck (2010) Essentials of nursing research: appraising evidence for nursing practice, 7th ed. Philadelphia: Lippincot William Wilkins.

3. Denise F, Polit & Cheryl Tatano Beck (2008) Nursing research: generating and assessing evidence for nursing practice, 8th ed. Philadelphia: Lippincot William Wilkins.

4. Denise F, Polit & Cheryl Tatano Beck (2003) Nursing research: principle and methods, 7th ed. Philadelphia: Lippincot William Wilkins.

5. Kader Parahoo (2006) Nursing research principles, process and issues, 2nd ed. Hamspire: Palgrave Macmillan.

6. Janet Holt (2009) Reading research series quantitative research: an overview, British Journal of Cardiac Nursing, Vol. 4(5), pp. 234-236.

7. Janet Houser (2008) Nursing research: reading, using and creating evidence, Jones and Bartlett Publisher, Sudbury.

8. Joyce J.F. & Meredith W. (eds) 2006, Encyclopedia of nursing, 2nd ed. New York: Springer Publishing.

9. Marcella Hart (n.d.a) Birthing a research project: data collection, International Journal of Childbirth Education, Vol. 22(3) pp. 27-31.

10. Marcella Hart (n.d.b) Birthing a research project: data analysis, International Journal of Childbirth Education, Vol. 22(4), pp. 24-28.

11. Michael Coughlan, Patricia Cronin & Frances Ryan (2007) Step-by-step guide to critiquing research. part 1: quantitative research, British Journal of Nursing, Vol. 16(11), pp. 658-663.

12. Nancy Burns & Susan K. Grove (2007) Understanding nursing research: building an evidence-base practice, 4th ed. Missouri, Saunders an Imprint of Elsevier.




1.) Search the GCU Library and find one new health care article that uses quantitative research. Do not use an article from a previous assignment, or that appears in the Topic Materials or textbook.
Complete an article analysis and ethics evaluation of the research using the “Article Analysis and Evaluation of Research Ethics” template. See Chapter 5 of your textbook as needed, for assistance. Here is the article link

Evaluate the article and identify potential ethical considerations that may have occurred when sampling, collecting data, analyzing data, or publishing results. Summarize your findings below in 250-500 words. Provide rationale and support for your evaluation.

2.) There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understa




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