The Decision Between Quantitative And Qualitative Data

The Decision Between Quantitative And Qualitative Data
One of the most important parts of establishing a research design involves the decision between quantitative and qualitative data. Each has its own
strength and weaknesses that any successful research design must account for. Perhaps one of the easiest distinctions between the two rests in the
sample size. While quantitative data normally involves a large n, or sample size, qualitative data involves a much smaller sample size in comparison.
This smaller sample size allows qualitative researchers to focus more on each case, increasing the internal validity of the research, but limiting its
external validity. Quantitative based research designs reverse this. The large sample size of quantitative data often makes it difficult for researches to
establish causation among the independent and dependent variable(s). The external validly of such designs usually offsets this issue to some extent.
Due to their large nature, and use of numerical data, quantitative research is much more replicable when compared to their qualitative counterparts.
Unfortunately, the struggle between internal and external validity is a fundamental part of research. Even efforts to combine the two methods to form
a 'mixed methods research design' ultimately fail to nullify the issue completely. Keeping this in mind, a quantitative analysis is the most logical given
the specific research question and the data available. This chapter seeks to prove that there is a statistically significant difference in
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What Is College Readiness?
Introduction
What is college readiness? When we say the word "college readiness "it means a lot of things to a lot of different people. In the state of Nevada, the
definition of college readiness is "the pupil who graduates from high school demonstrates the foundational knowledge, skills, and qualities to succeed,
without remediation, in workforce training, certification, and degree programs" (Crystal Abba, 2013, p. 3). I believe that content knowledge, key
cognitive skills and foundational skills are very important and helps students at college level courses. Students arrive at colleges ready with different
level of readiness. Peer tutoring is one the effective way help students to gain foundational and cognitive skills in a high school.
Part 1: Research Report
Research Purpose
The purpose of the study is to reveal if peer tutoring by same age will improve the percent of students who met the ACT College Readiness
Benchmark Scores. In Nevada, to be eligible to graduate from high school, all students must take Nevada's College and Career Readiness (CCR)
assessment in their high school junior year. All students in junior year must participate in the ACT CCR assessment to complete high school graduation
requirement.
Problem Statement and Description of Setting
Recently, we have received the ACT profile report for the high school where I am working as a college counselor. The report focuses on student test
performance in the context of college readiness, the number of our

Secondary Analysis of Qualitative Data
This essay aims to examine the practice of secondary analysis on qualitative data in terms of barriers to overcome and advantages of its practice. Over
the last decades, archives of qualitative data have become widely accessible to research–es and there has been a smaller revolution in the practice of
secondary analysis on such data. (Seale, 2004) There are both practical and methodological ad–vantages for researchers to use data that has been
collected by others in order to pursue new research. However, this approach is not unproblematic. One of the most prominent features of qualitative
research is its emphasis on contextual understanding and data– generating process between the researcher and partici–pants, which is to some extent lost
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For example, a qualitative re–searcher may implement grounded theory method, which implies that the pur–pose and question evolves throughout the
project. Such practice is very sensitive to contextual influences and the specific methods and perspectives employed by the researcher. (Vromen, 2010)
Consequently, the emphasis on the role of the researcher and the context within qualitative research creates a barrier to practising secondary analysis.
Entering a data set as a secondary researcher has three broad implications in terms of con–text. First, the dynamic environment of researching
participants through rela–tionships and reflexivity is lost. The data is now static in the sense that it is al–ready shaped and collected by the primary
research and you cannot engage with the participants anymore. Second, which follows from the first, is that all the choices of methods of collection
has already been done and cannot be undone. Decisions around units, cases and sampling for the primary research cannot be changed. Third, it is
impossible for the primary researcher to grasp all contexts and influences in which the research is pursued and then translate them into the data. There
will be information that is left out in the primary data due to both selectivity and inability, which becomes a problem of not knowing

Different Schools Within Two Separate School Districts
Research Sites The proposed research study will take place in two schools within two separate school districts in Tennessee. In order to protect the
identity of the research sites, pseudonyms have been used to reference the names of the two schools selected for the study. Fairfax Elementary (School
A) is a Title I school in a suburban area of northeast Tennessee. This school is considered a turn–around school, having earned Blue Ribbon status in
2009, and was awarded National Title I Distinguished School in 2010. Though Fairfax Elementary has existed for forty years, the new facility was
built on its original site in 2010. Fairfax Elementary serves a racially and economically diverse population consisting of 566 Pre–K through
fourth–grade students. The breakdown of the population is as follows: 63.2% Economically Disadvantaged; 15% Disabilities; 71% Caucasian; 17.5%
Black, 8.6% Hispanic; and 2.2% Asian. The school's leadership team consists of one principal and one part–time assistant principal. There are
twenty–six regular, classroom teachers and nine additional special area teachers serving Fairfax's diverse, Title I population of Pre–K through fourth
grade students. Mountain Ridge Elementary (School B) is a rural school in the most northeast area of Tennessee. This high achieving school was
awarded Blue Ribbon status in 2008. Mountain Ridge serves 450 students across Pre–K through sixth grades. The school profile is as follows: 67%
Economically Disadvantaged; 16%

Qualitative Data Collection Methods Paper
Qualitative data collection method is the method I would use to answer my research question: How does text messaging effect teen literacy? I would
choose this method over quantitative because qualitative methods are lead with first–hand observations for a wide range of behaviors. The hypothesis
is broad and looks to describe the entire picture. It helps us to understand the world we live in and explains why things are the way they are. This type of
research is primary gathering information for the early stages of a question. One of the major reasons for doing qualitative research is to become more
experienced with the phenomenon you are interested in.
Qualitative data collections are particularly helpful when the event is not of importance, but rather how the event may influence a sequence of other
actions. Describing the complicated phenomena is not the goal of a qualitative research, but rather to distinguish ideas as to why and how a specific
phenomenon operates as it does in a precise situation.
Qualitative research involves capturing the complexity of behavior that occurs in natural settings while the opposite goal ... Show more content on
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For the purpose of this paper, field research will be used in an association with participation observation. The purpose of this method is for the
researcher to go into the field to observe the phenomenon.
Although qualitative field research collection has two methods, interviews, and focus groups, for my study, I will us the use direct interaction with
individuals on a one to one basis. Even though collecting qualitative data is more time consuming than quantitative due to the use of smaller groups,
the benefits are that the information collected gives a more profound insight into the phenomenon under study. I would not only conduct individual
interviews but perform some observation as

Unit 3 Qualitative Data
Qualitative Data The business would first need to collect Qualitative Data. Qualitative Data is data that describes something but does not measure the
characteristics or attributes of something. Quantitative Data Secondly the business would need to collect Quantitative Data. Quantitative is data that
can be measured or can be counted. This type of data is the complete of opposite of qualitative data Secondary and Primary Data Thirdly the
Business would need to collect Secondary and primary Data is data. Primary Data is a Data that is gathered by the researcher himself/herself.
Secondary Data is data that is collected by someone else for another purpose. P1 A) Sales and marketing figures Stocks and business shares Invoices
Number of products that are in stock How much profit is being made Quantitative Data and qualitative Data types ... Show more content on
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They are sent by the owners of the business for the sale and promotion of its products. They have a first–hand relationship with the consumers and they
understand tastes, desires and buying habits of the consumers. d) For Gaining commercial advantages Lush computers could sell their computers a
little cheaper than its competitors which will encourage customers to buy it. The more that people are buying from lush computers the more popularity
the business will gain Popularity is extremely important when it comes to the reputation of Lush computers because that's one of the factors which
makes the products from that business so appealing. Lush computers can also use operational support. Operational support is a type of system which
monitors and helps control people's activity. This will help to increase the quality of products from lush computers because the business can use it to
sort out problems they may have with their products and technical faults. Altogether this will help increase the reputation of lush computers.

Qualitative Data Analysis Paper
Hi Sarah, Thank you for sharing your knowledge about statistical information and how that helped you make a decision on what tests you can use for a
patient's problem. To be honest with you, I find it difficult to understand statistical information and quantitative data. So, I'll be focusing on the research
that I found about qualitative data for two tests that we commonly use in our facility. Since I work with children, we use the PDMS–2 and BOT–2 for
assessing gross motor and fine motor skills. I read an article by Hands, Licari, & Piek (2015) where they reviewed five tests for motor skills and it
was concluded that there is "no gold standard" for adolescents and young adults to "diagnose motor impairments". However, it was indicated that

Qualitative Data Collection Paper
Qualitative Data Collection Within a quantitative study, the research is completed to seek some type of verification, but within a qualitative study the
research is completed to seek a deeper understanding (Capella University, 2017c). For instance, Hoelscher et al. (2016) used a survey method to verify
how the students commuted to school, and they received weather reports for specific dates and locations for data collection. In contrast, if Hoelscher et
al. (2016) study was conducted using qualitative methodology, it would be designed as a multiple–case study design. A multiple case study design is
an evaluation of multiple systems that are studied and compared to one another over time (Capella University, 2017b). The multiple cases being ... Show
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Interviews and focus groups would be conducted to gain a deeper understanding of the effects of the grants. They would be conducted with the school
staff, the funders, and the participants of the study. Observations in the field would include seeing how the students commuted to school and how the
new building structures or implemented plans were influencing their commute. Lastly, a review of documentation and reports that shows the efforts
being made with the grants and how it is helping and ensuring protection/safety of the participants involved.
Ethical Concerns The main ethical challenge that is presented in this study if changed from a quantitative to a qualitative research design is the respect
and protection of the participants. The studies focus is on ensuring safety for the students as they commute to school. The study begins with the
students being as young as 9 years old. That may cause a problem when conducting a qualitative study over a course of three years. Qualitative study
collects non–numerical data through words and narratives, therefore, it is important to ensure that protective actions are in place to address this ethical
concern.
Participant Ethical

Qualitative Data Collection
Application of appropriate data collection method is important to avoid invalid evaluation results after implementation. As the data collection method
plays an important role in impacting evaluation, a qualitative data collection method was chosen for this particular study. It is because; qualitative data
provides useful information to understand the process behind the observed process and also helps in understanding nurses and patients perception
towards the change management. Qualitative data will also help in generating evaluation hypothesis by strengthening the survey questionnaire and
other evaluation findings (University of Wisconsin, n.d). In addition to this, as the evaluation method includes interview, observation and
documentation,... Show more content on Helpwriting.net ...
G. (2013, February 11). Implications for practice and research. The Future of Children, 10. Retrieved from https://www.princeton.edu/futureofchildren
/publications/journals/article/index.xml?journalid=46&articleid=212&sectionid=1379 University of Wisconsin. (n.d). Data collection method:
Important data collection methods used in research. Retrieved from

Hcs/325 Week 2 Qualitative Analysis Of Data
To collect data for check sheet you have to determine what event or issue will be examined and then you will create operational definitions. Then
we will determine when the data will be collected and gathered and for how long. From here, we will create the form and the form will be laid out
to where the data can be recorded easily by making check or tally marks. All the spaces should be labeled on the form. The check sheet should then
be tested for a brief trial period just to make sure it gathers the correct data and is easy to access and utilize. Whenever the targeted event or issue
takes place, the data should be entered in on the check sheet (Check Sheet, n.d.). To collect data for a scatter plot, the healthcare organization will need
to have at least 50–100 paired samples of data that is associated with the scatter plot. The data can be placed into a spreadsheet and then you can plot
the data points on the diagram. The spreadsheet can be developed in a MS Excel file then we can use the Excel program to create a scatter plot with
all of our data. Fishbone Diagram– Outline a strong, well–defined problem statement, that every team member must agree on. Keep in mind, that it
must be... Show more content on Helpwriting.net ...
Next, outline and explain the time period for the period in which we will be gathering data. Soon after, all items should be calculated and state how
often it took place. From this point, add the amounts to find the complete total. At the moment, list the items in declining order based on the unit we
are measuring. "To convey cumulative data draw a line graph for the cumulative percentages. The first point should line up with the top of the first
bar." Lastly, examine the diagram and decide which items appears to be more responsible for the greater part of the issues or problems. At this point,
the graph should start to quickly level

Qualitative Research Is Good At Simplifying And Managing...
Qualitative research is good at simplifying and managing data without destroying complexity and context. Qualitative methods are highly
appropriate for questions where preemptive reduction of the data will prevent discovery. If the purpose is to learn from the participants in a setting
or a process the way they experience it, the meanings they put on it, and how they interpret what they experience, the researcher needs methods that
will allow for discovery and do justice to their perceptions and the complexity of their interpretations. Qualitative methods have in common the goal
of generating new ways of seeing existing data. If the purpose is to construct a theory or a theoretical framework that reflects reality rather than the
researchers own perspective or prior research results, one may need methods that assist the discovery of theory in data. If the purpose is to
understand phenomena deeply and in detail, the researcher needs methods for discovery of central themes and analysis of core concerns. Each of
these suggestions has a flip side. If one knows what is being hypothesized and what they are likely to find, if one do not need to know the complexity
of others' understandings, if one is testing prior theory rather than constructing new frameworks, or if one is simply describing a situation rather than
deeply analyzing it, it is possible that one should not be working qualitatively. Perhaps the research question that one is tackling with in–depth
interviews would be

Concepts Of Statistical Studies Essay
Basic Concepts of Statistical Studies
1
Introduction s Decision makers make better decisions when they use all available information in an effective and meaningful way. The primary role of
statistics is to to provide decision makers with methods for obtaining and analyzing information to help make these decisions. Statistics is used to
answer long–range planning questions, such as when and where to locate facilities to handle future sales.
2
Definition s Statistics is defined as the
science of collecting, organizing, presenting, analyzing and interpreting numerical data for the purpose of assisting in making a more effective decision.
3
Applications in Management s Accounting Public accounting firms use ... Show more content on Helpwriting.net ...
Alternatively, a numeric code could be used for the class standing variable (e.g. 1 denotes Freshman, 2 denotes Juniors and so on).
16
Scales of Measurement s Interval
The data have the properties of ordinal data, and the interval between observations is expressed in terms of a fixed unit of measure. Interval data are
always numeric.
17
Scales of Measurement s Interval
Example: Shruti has an MAT score of 605, while Raj has an MAT score of 655. Raj scored 50 points more than Shruti.

18
Scales of Measurement s Ratio
The data have all the properties of interval data and the ratio of two values is meaningful. Variables such as distance, height, weight, and time use the
ratio scale. This scale must contain a zero value that indicates that nothing exists for the variable at the zero point.
19
Scales of Measurement s Ratio
Example: Raj's college record shows 36 credit hours earned, while Kevin's record shows 72 credit hours earned. Kevin has twice as many credit hours
earned as Raj's.
20
Qualitative and Quantitative Data
Data can be further classified as being qualitative or quantitative. The statistical analysis that is appropriate depends on whether the data for the variable
are qualitative or quantitative. In general, there are more alternatives for statistical analysis when the data are quantitative.
21
Qualitative Data
Labels or names used

Qualitative Data Evaluation
To analyze the results of evaluation, the evaluators will undertake a robust analysis to identify whether or not there are any differences in patient
characteristics and treatments provided by the six Victorian hospitals to Aboriginal people and non–Aboriginal people. The qualitative data will be
transcribed and analyzed by using NVivo software based on the evaluation frameworks. Whereas the quantitative data would be assessed by using SPSS
in order to measure the impacts of the policy directions, funding, workforce competencies and performance to facilitate the change in service delivery.
To strengthen the validity of findings, we also conduct triangulation that will help to compare the qualitative data based on the opinion of key
stakeholders and quantitative data from any sources. After completing data analysis, we will conduct a consultation with key stakeholders to discuss
the preliminary findings, to establish any conclusions, and then to identify a possible improvement for strengthening the evidence. To eliminate the
possible bias in justifying a conclusion, we will conduct some reflection by involving Aboriginal people.
f.Step 6: Ensure Use and Share Lesson Learned
The last step will focus on ensuring use and disseminating lesson ... Show more content on Helpwriting.net ...
To reduce the impacts on the working time of all stakeholders, we will conduct an online survey for key personnel at the hospital, program managers,
and the state and local health departments. Such condition will bring some challenges and consequences in the accuracy and quality of the data due to
less control over its practice. Furthermore, the online survey might have low response rate and require the most time for completing this survey.
Concerning this condition, working together with the DHSS, we need to conduct some workshop to inform and discuss the need of the evaluation and
the potential benefit by performing this

Qualitative Data Analysis Paper
Both qualitative and quantitative data analysis approaches will be used in this research. Quantitative data analysis will be used to analyze the
numerical data whereas qualitative data analysis will be used to analyze trends and relationships between the data and views of the participants
obtained from the interviews and the questionnaires. The numerical data that will be obtained from the data about the trends in the career readiness
indicators and the questionnaires for the teachers and the employers will be analyzed using quantitative methods by statistical tests like mean, median
and standard deviation to help in deriving important facts from data including; preference trends, differences between the groups, and demographics.
The data for

A Research Study On The Field Of Psychology
The field of psychology is truly fascinating, as the discovery of new and remarkable ideas arise with every question a researcher chooses to explore.
Where questions can develop into a research study, which can either solidify, contribute, support, inspire, or provide answers in the field of psychology.
In a sense, research is a trial and error approach as researchers are not always cognizant of the results that a study will provide. However, with
sufficient knowledge the researcher can conduct a study, with less error, should the researcher be aware of a few simple ingredients.
First, as simple as it sounds, knowing whether if a question is sufficient is a good place to start. Once that has been determined, then the researcher can
In conclusion, this writer will be discussing how the statistical model created in outline form can be useful, its limitations, along with what this writer
learned in the process of creating a unique statistical model of this writer's liking and understanding.
Decision's Model in Outline Form Is your question adequate and sufficient? This is determined by figuring out whether if you have put enough thought
into your question, if only you can answer the following 4 questions (Sukal, 2013).
(1). What is your overarching research question? (Sukal, 2013)
Note: According to Sukal (2013), this can be determined by figuring out whether if there are keywords within the question, such as "effects" to refer
to cause and effect (Sukal, 2013). The word "association", indicates figuring out if there is a relationship amongst the variables (Sukal, 2013). The
word "prediction" can signify regression (Sukal, 2013).
(2). How many Independent Variables (IV), Dependent Variables (DV), and covariate variables are in the study? (Sukal, 2013).
Note: The dependent variable is thought of as the criterion or consequence variable, while independent variable is thought to be the predictor or the
variable that brings out an effect on the dependent variable (Sukal, 2013). Further, a variable is something a person plans to observe, manipulate, test,
record, or evaluate

Collecting Qualitative Data Paper
PART 1
Collecting Qualitative Data
Research truly is essential to the success of any marketing campaign or process and can greatly contribute to the success of a product, service or brand
in the marketplace. Market research can help to determine risks and opportunities within the market, and can provide a greater depth of understanding
of consumers and the target audience. Market research helps to define and solve research 'problems' and this is extremely beneficial to any business or
organisation (Burns & Bush, 2003). By having consumer insight because of market research, marketers are able to promote a product to the true
relevant target market, rather than wasting time and money promoting to the whole marketplace. There are two main methods of market research, being
qualitative research and quantitative research. Both of these methods have benefits and can be used in conjunction, but for the best results one method
of data collection is often used. Quantitative data focuses on a numerical approach to data collection via the use of statistics and information taken from
surveys and census data. Qualitative data however focuses on gathering information and exploratory research through observations and interviews. The
main approaches to collecting this type of data are experience or expert surveys, focus groups, and in–depth interviews (Diekroger, 2014).
FOCUS GROUPS
A focus group is a small group of people brought together and guided by a moderator through an unstructured,

Qualitative Data Collection And Analysis
This interview has revealed a deep connection (H) has with this program, students, and teacher. It has also described the successfulness this tutoring
program has become for students participants as well as the success the teacher has in her classroom. In order to reach conclusions regarding the
successfulness of the program and the attitude of (H) regarding the program, data from the interview must be collected and analyzed appropriately.
Qualitative data collection and analysis is appropriate for an interview because it is not using numerical data but instead descriptive narrative and
visual information. Interviews allow the researcher to get more information about the study that observation alone will not achieve. Gay & Mills
(2016) suggested, "Interviews provide information that is inaccessible through observation" (p. 550). During the interview, the researcher must take
notes and/or record the verbal interaction taking place between the interviewer and interviewee. If the interview is recorded, one must have it
transcribed in order to properly and easily collect important data necessary to the research. As part of qualitative data collection and analysis, it is
important to identify themes and code pieces of data from the interview transcript. After highlighting and making notes from the interview transcript I
noticed several different themes emerging. These themes included According to Gay & Mills (2016), a way to analyze data is to consider the big
picture and

Information Retention And The Level Of Retention Essay
4.1QUANTITATIVE DATA
Total participants: n = 14
Undergraduate students in the Clayton Campusn = 14
14 students in total from the Clayton Campus responded to the online survey, ranging from Undergraduate degrees such as Arts/Business/Science
/Bio–Medicine and Commerce.
Level of distraction and information retention
Figure 1: Undergraduate's response to distraction
Figure 2: Undergraduate's response to the level of retention It was surprising and unexpected to see that although the students may be distracted by
their own music, their level of retention is reasonably high, with the majority of the students remembering between 60 to 80 percent of the information
that they have processed. Factors that may have influenced this outcome could be alluded to the fact that once the students have created a calm and
accustomed studying atmosphere, that they can properly engage in it and retain such a high level of information.
Studying with and without music
Figure 3: Whether or not the participant has studied for a long period of time without music Figure 4: Whether or not the participant feels more
productive when studying with music With allusion to the previous set of questions (Figures 1 & 2), slightly more than half of the students have
answered that they have felt more productive when studying with music, which may reinforce the high retention rate. This may be the contributing
factor via the creation of a comfortable environment, thus making it easier for the student to

The Importance Of Qualitative And Quantitative Data
Research tries to discover new evidence to identify facts to study and reach new results. Research plays a major role in the society and it engages in
discoveries, intelligence, and data collection. It works to find out and understand how things behave and operate. (Allan, H. 1964) In Health and Social
Care research is essential because it allows new discoveries to be made and allows complicated problems to be solved to help improve and better the
setting.
A wide variety of different methods are used to acquire information or data. Some of these data can be classified into Quantitative and Qualitative data.
Quantitative data refers to the compilation of information statistically. Normally, these data are collected numerically and are generally tested and
verified with social surveys, case studies and experiments, unlike interpretivists, positivists have a preference to use quantitative data. August Comte,
the founder of positivists, described positivism as a sociology of science and discovered true knowledge through mathematical testing. (Landow, G.
2013)
According to the research process, quantitative data is useful since it allows researchers to analyse and measure data. Quantitative data's disadvantage
is, it does not study things in natural environments or the significant issues of things to different people, while qualitative data is more comprehensive
and valuable to data due to their written information or witnesses. (Cheal, D. 2002)
Qualitative research is conducted

Types Of Quantitative Data Collection And Five Types For...
Data Analysis As noted in Table 1, there were four types of quantitative data collection and five types for qualitative data. Quantitative. The quantitative
data from the population–sourcing databases was used to define the demographics and subgroups being studied. The PCA performed on the teacher
questionnaires resulted in a list of effective teaching factors, which was divided by the subgroup and demographic data, though this list was not
included in the study. The PCA results from the student surveys created another list of effective teaching factors, which were viewed as indicators of
environment in the school and classroom. This data was then included in the mixed method analysis. The student survey analysis also resulted in the...
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Qualitative. Most of the qualitative data (i.e., observations and interviews) was entered into SPSS and coded using the NVivo software tool. For the
interviews, the NVivo tool allowed researchers to perform PCA and identify themes and dimensions which the researchers stated they used for further
investigation and analysis. For the observations, the ISTOF and QoT data was reduced using a factor analysis and a confirmatory factor analysis, then
the results between the two tools were compared to identify the main factors of effective teaching. The article does not specify how data from the
focus groups was captured, analyzed or utilized in the interpretation. Mixed method. The researchers used the combined ISTOF and QoT results to run
a correlation analysis with the indicators identified from the student surveys. The article included a table listing the resulting six factors and the
correlated indicators. This same table included three other statistical analyses as well, though the article did not explicitly state why these particular
analyses were used nor interpret the meaning of these results. The NVivo tool allowed the researchers to combine analyses from the different data sets
gathered, while also providing the ability to separate the results by various groupings such as the socioeconomic status of a school, teacher gender,

Qualitative Research and Data Analysis
2.1.6 Data analysis
In qualitative research, data analysis is a process of making meaning where the researcher has to actively create meaning out of the raw materials
(Esterberg, Kristin G., 2002). The process of making meaning out of qualitative data is often iterative, meaning that there is a repetitive interplay
between the collection and analysis of data (Bryman and Bell, 2007).
Altogether 5 interviews were conducted with the tour operators in Denmark that are selling travel packages to Nepal. Firstly, interview was conducted
with Kipling travels (31ST March, 2014) and then interviews were made with Dagama travels (2nd April, 2014), FDM travels (2nd April, 2014),
Albatros–travels (24th April, 2014) and lastly C&C travels (29th April, 2014). All of the interviews were conducted on different days except interviews
with Dagama travels and FDM travels. The findings from the first interview were also used to ask questions in the following interviews and there was
constant interplay between the data analysis of the previous interview and the data collection from the next interview. In this way, information gained
from the first interview and the subsequent interviews were used, to ask questions, in the interviews done later on. Figure 7: Comparison of Qualitative
Analysis Approaches (Thomas, 2006)
There are various approaches that can be used to analyze qualitative data such as the general inductive approach, grounded theory approach, Discourse
analysis and Phenomenology

Qualitative Data: Research and Collection
Qualitative Data
I. Management and Organization of Qualitative Research Data Qualitative research data is interpretive and descriptive and because of the nature of
qualitative research data, the best forms of organization and management of the data is coding or grouping the data when looking for patterns in the
research findings. Five steps to good data management are reported to include those stated as follows:
(1) Choose and follow a clear file naming system;
(2) Develop a data tracking system;
(3) Establish and document transcription/translation procedures;
(4) Establish quality control procedures; and
(5) Establish a Realistic Timeline. (John Hopkins Bloomberg, School of Public Health, 2008, p.2)
It is necessary to allot a certain amount of time to each task in a qualitative study in order to be organized. For example time should be allowed for:
(1) Traveling to the site and locating a participant
(2) Gaining consent to and conducting an interview
(3) Downloading and preparing a file
(4) Transcribing the file
(5) Translating the file
(6) Coding the file
(7) Conducting quality control, and
(8) For making any corrections that are needed. (John Hopkins Bloomberg, School of Public Health, 2008, p.10)
II. Qualitative Data Collection and Saturation of the Data
Qualitative data analysis is reported to reach a point that is referred to as "saturation" which is stated to signal that the study is complete and that there
is "a judgment of diminishing returns

Key Factors For School Wide Behavior
Key Factors for School Wide Behavior Supports
Implementation and Sustainability
Benoit A. Wyble
Texas A&M University– San Antonio
In the field of education there are many factors that contribute to the success and failures of students and teachers who work to educate. Of these
factors, perhaps one of the most important is in the area of classroom behavior and behavior management. Behavior management is such an important
aspect in this field that teachers often highlight the frustration of dealing with bad students and bad behaviors as a leading cause of leaving the
profession (Reinke, Herman, & Stormont, 2013). Taking on the task of working to create a system that can be applied to help build a successful learning
As mentioned the focus of much of the current research is on identifying those factors that individuals within education feel are most important to the
successful implementation and sustainment of an effective SWPBIS program. Factors that have been found through the various research to be most
important include administrator support, confidence in SWPBIS, and proper application of data (Bambara, Goh, Kern, & Caskie, 2012; Mathews,
McIntosh, Frank, & May, 2014; McIntosh, Predy, Upreti, Hume, Turri, & Mathews, 2014; McIntosh, Sterett, Hume, Frank, Turri, & Mathews, 2013).
Studies have hypothesized that these factors would be seen singled out as having the biggest impacts. These beliefs tended to play out within the results
of the studies. Administrative support in the form of a strong school principle and staff buy in were seen to be instrumental in the implementation of a
solid program by the educators who agreed to be surveyed (McIntosh, et al., 2014). The findings showing that school personnel believe that having a
strong school principle who provides for and supports the use of SWPBIS tends to make sense when viewed from the perspective of leadership. Schools
where staff believe the principle to have strong and effecitve leadership skills score significantly higher results in student behavior outcomes when
SWPBIS is being implemented

The Analysis Of Qualitative And Quantitative Data Of Your...
"The analysis of qualitative and quantitative data of your website and your competition to drive continuous improvement about your digital presence
your customer needs and prospects which translates into fabulous desired outcomes both online and offline for your business that's more of formal
definition of web analytics." – Avinash Kaushik Author, Digital Marketing Evangelist
Web analytics is not about just logging into google analytics, Facebook insights, adobe web trends or IBM and analyzing all the quantitative data you
have related to the clicks and that is a big component of analytics all about. But it's also about answering question about why people do what they do
and that's what sort of qualitative analysis around surveys, usability tests and those things come into equation where the cool thing about the web is not
only that you can analyze your own performance. You can actually analyze how your competitors are doing.
If you are competing with somebody on the web, you can go and get their data and understand how they are successful or not and learn lessons what
they are doing and go figure out how to change your strategy in turn.In short, if I summarize few points to define web analytics:
Qualitative and Quantitative Analytics
Web Analytics is about qualitative as well as quantitative data
Competitor data
It's possible to analyze your competitor's data and compare it to your own
Customer intent
Web analytics can also reveal how hesitant or eager visitors are

Qualitative Data Such As Interpretive Phenomenological...
Abstract
Qualitative data such as Interpretive Phenomenological Analysis (IPA) are under constant scrutiny by Quantitative researchers looking for legitimacy.
Elliot et al., 1999, were able to provide this legitimacy by creating seven key guidelines; owning one's perspective, situating the sample, grounding in
examples, providing credibility checks, coherence, accomplishing general versus specific research tasks and resonating with the reader. Focus is given
to these guidelines throughout the review of the above– titled paper to highlight how these can be applied. The article focuses on the phenomenon,
anger, and the use of IPA to help understand this. The purposes of the article are to highlight how anger and other factors appear to... Show more
content on Helpwriting.net ...
Fischer, C, T,. Rennie, D, L,. 1999). Elliot et al. (1999) were such researchers, who were successful in creating seven key guidelines that can be utilised
in any qualitative research. These guidelines are as follows, owning one's perspective, situating the sample, grounding in examples, providing
credibility checks, coherence, accomplishing general versus specific research tasks and resonating with the reader. Further detail will be discussed in
relation to these guidelines during the following evaluation. Attention will also be paid to how these guidelines can be applied to IPA analysis.
Main Body
The article, Understanding feelings of anger using IPA (Smith & Eatough, 2006), has two key focus areas. Firstly is the use of IPA. Secondly is the
understanding and interpretation of anger as experienced by the individual. Throughout the article, each section explains how the method, IPA is
utilised. The purpose of the article is "to illuminate how ..., anger, emotion–related feelings, thoughts and expressions appear to the individual" (Smith
& Eatough, 2006). They argued that emotions are more often than not, world– focused and proposed that a holistic approach was required to fully
understand this phenomenon. This was studied as a single sample, case study. Data was analysed using IPA with results showing anger

Outline and Assess the Usefulness of Official Statistics...
Outline and assess the usefulness of official statistics of crime to sociologists.
There are three main sources of information about the crimes for sociologists – the official crime statistics, which are collected by the police and are
presented as secondary data for sociologists; victim survey such as British Crime Survey, which is also collected by the police and sponsored by the
government, and in order to collect primary data sociologists use self–report studies and its aim is to uncover the true amount of crime in the society.
OCS are a source of secondary data, therefore it can be trusted as it has been verified before by other researches and are accepted by some sociologists
uncritically, for example functionalist sociologists ... Show more content on Helpwriting.net ...
Also the representativeness is questioned because all crimes cannot be included in a questionnaire as the researcher has to be selective, so as a result
some people may have committed a crime, but they can neither report it because of fear of being fined or put in jail nor because it is not included in
the questionnaire. This means that the number of crimes in statistics will be decreased, however it will not represent the reality. In addition to this
problem, mainly the youth are questioned as the BCS 2007 states that most of the crimes are committed by males aged from 15 to 25 and by females
aged from 13 to 19 in England and Wales, therefore the rest of the population is not included and the concept of "white collar" crime is created, which
is middle classed people not admitting their crimes, therefore this information cannot be generalized among the population.
As separate pieces of the research, all of the methods have their own advantages, however there are mainly disadvantages that make all of them either
invalid or unreliable and nor representative. However if all these methods were combined into one – a mixed method research, all the qualities of the
researches could have gone up, therefore it could have been even more useful to sociologists. Even though

Pre Assessment Quantitative And Qualitative Data Essay
Combined approach. Once the data from both the quantitative component and qualitative component had been summarized, the two sets of results
were compared. The pre–assessment quantitative and qualitative data sets were reviewed to look for convergence. The two post–assessment data sets
were similarly reviewed. The changes from pre– to post–assessment were reviewed together to look for similarities, differences, anomalies, and
possible future areas of study. Additionally, the data as a whole was considered to determine what descriptive narrative it implied.
Differences. The original research design underwent some changes to adapt to the changing situation with the organization.
Participant demographics. The class was designed based on having a larger percentage of internally promoted employees in class. While the majority
of new managers in class were internal promotions, they were not the majority of the overall class population, due to a couple unexpected non–manager
participants. This likely skewed the results, due to both the data gathered from the unexpected participants and to the change in experience the target
participants had, having non–target population members in attendance.
Additionally, a larger participant group was anticipated overall. Due to scheduling conflicts (specifically summer vacations), and to an unexpected
slowdown in promotions and hires, two scheduled classes were cancelled and the overall participant number dropped to less than half of what was

Quantitative And Qualitative And Quantitative Data
Qualitative and Quantitative The manager needs qualitative and quantitative data to help with different jobs in the business. Qualitative data helps
with the cashiers and counter staff's jobs while quantitative data helps the manager with ordering new products and perishable food from the wholesale.
The two types of data that helps a manager to make decisions within his business are called qualitative and quantitative data. Qualitative and
quantitative data can come from internal and external sources within the business. Qualitative data involves the quality of the products and sever at the
sandwich bar. Qualitative data is harder to analyse and can be less reliable as the information comes from observations, surveys, and focus groups....
This spreadsheet can help the cashier to choose the correct price and amount of products, then giving the customer their receipt of their order which is
classed as a primary source as the information and data comes from the customer. The spreadsheet also help the manager to decide what ingredients and
non–perishable food needs to be ordered from the wholesale. The spreadsheet shows the quantity of what items have been sold and the quantity left
helping the manager to decide what needs to be ordered. Qualitative data is also produced from feedback from the customers, classed as a primary
source, which is produced from questionnaires that could be handed out to customers about the sandwich bar or menus. This help the manager decide
what to make changes to in the menu or sandwich bar by analysing their surveys and questionnaires to make a judgement of what changes need to be
made and what factors work well in the business. The human resources department also create the staff shifts from qualitative data of knowing how
busy the sandwich bar will be to figure out how many staff will be needed and their working hours. The human resources department also ensure that
the sandwich plus staff have attended training which is monitored through qualitative data kept on what courses each member of staff has attended and
update the system when their training has been updated. As this data comes from staff who attend the

Qnt351 Week 3 Team Assignment Essay
Data Collection BIMS, Ballard Integrated Managed Services, Inc. is a corporation specializes in the services of food and housekeeping to corporations
and institutions. The general manager, Barbara Tucker, has noticed that over the last four months the turnover rate has shot up to 64%. Not only is the
turnover rate higher than usual, but also employees seemed unmotivated to do their job. There are more employees walking around doing nothing and
more employees not doing their job well enough, resulting in complaints from the hospital administration in which they are working. Debbie Homer,
HR manage, has developed an employee survey instrument to try to identify why employees are leaving and why each employee is no longer motivated.
After entering the data, it must be reviewed to catch any errors. Cleaning the data is done with basic steps. Of course the data is imported from the
source, but there should always be some backup involved in order to keep the integrity of the data. In some cases the next step would be
manipulation or spellchecking. This depends on what kind of data is involved. However, in this case spell checking is not necessary, but manipulation
is. For instance with manipulation, they may have to add a column or two, or even add a zero randomly for missing data. Below is numbers 6–10 on
the data set, the data has been cleaned up by changing the number 6 to the number 5 thus correcting the errors Sally made. Where a question wasn't
answered a zero was added to indicate missing data.
No.Q1Q2Q3Q4Q5Q6Q7Q8Q9Q10ABCD
6525433212115212
701453254211822
8132252453222802
9331442222431521
10513222141118322
Measures of Central Tendency The example below lists the results for numbers 6–10. The measures of central tendency include mean, median, and
mode. In this example the measures of central tendency will be calculated based on row B, which indicates the number of months that a particular
employee has been with the company. The data being analyzed is the

Qualitative Analysis : Qualitative Data
Qualitative
Qualitative data is an open universe, as it includes virtually any non–numerical data that can be captured and revolves around collecting, analyzing, and
interpreting data that are difficult to reduce utilizing numerical methods. Qualitative data permit the exploration of every possible scenario in a given
situation which is highly suitable when assessing the contributory impact of the social environment within the business world. By pursuing a
qualitative approach, the data collected can be measured based on a philosophical (Phenomenology) perspective, Ethnographic, Field Research,
Grounded Theory or Case Study.
Advantages of Qualitative Data
Real time non–restrictive questions during interviews can be guided and redirected by the researcher.
Complexities about the research subjects or topics are discovered that escapes numerical measurements.
Data obtained based on sociological experience is expansive and oftentimes more attractive than quantitative data.
Revising the research framework including the direction can be done quickly should new information emerges.
Issues can be examined in detail and in depth not afforded with a quantitative method
The rich in depth narrative permitted in qualitative data makes it a very attractive method for conducting research. The broad thematic concerns
researchers are able to address will allow aspects of the company being research to take on a philosophical approach that is prohibited utilizing a
quantitative

Methods of Qualitative of Data Collection
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Data Collection Methods
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Q
ualitative researchers typically rely on four methods for gathering information: (a) participating in the setting, (b) observing directly,
(c) interviewing in depth, and (d) analyzing documents and material culture. These form the core of their inquiry–the staples of the diet. Several
secondary and specialized methods of data collection supplement them. This chapter provides a brief discussion of the primary and the secondary
methods to be considered in designing a qualitative study.
This discussion does not replace the many excellent, detailed references on data collection (we refer to several at the end of this chapter). Its purpose
is to guide the ... Show more content on Helpwriting.net ...
In this way, the researcher is able to discover the recurring patterns of behavior and relationships. After these patterns are identified and described
through early analysis of field notes, checklists become more appropriate and context–sensitive. Focused observation then is used at later stages of the
study, usually to see, for example, if analytic themes explain behavior and relationships over a long time or in a variety of settings. Observation is a
fundamental and highly important method in all qualitative inquiry. It is used to discover complex interactions in natural social settings. Even in
studies using in–depth interviews, observation plays an important role as the researcher notes the interviewee's body language and affect in addition to
her words. It is, however, a method that requires a great deal of the researcher. Discomfort, uncomfortable ethical dilemmas and even danger, the
difficulty of managing a relatively unobtrusive role, and the challenge of identifying the big picture while finely observing huge amounts of

fast–moving and complex behavior are just a few of the challenges.
Whether a researcher is simply observing from afar or finding a participant–observer role in the setting, some contexts may present dangers. Street
ethnography is a term that describes research settings which can be dangerous, either physically or emotionally, such as working with the police (as
Manning did, described in

The Barb Case: A Flawless Work Performance
The "Barb" case is a great instance of a flawless work "performance," when a simple act is tuned to a memorable experience for every customer. First,
Bard was able to acquire all information possible from the only available source she had on her hands – a student meal cards; by having that little data
she managed to turn a few seconds interaction into a very personalized experience for every student. Secondly, she was able to turn a uniform
"experience," every student unavoidably encounters while entering a dorm's cafeteria, to a unique and memorable event. By greeting each entered
person with his/her name, asking about their previous absence or providing some information Barb emphasized the personal value of every student.
Thirdly, Barb showed

Mixed Methods Of Quantitative And Qualitative Data
Mixed methods approach was implemented deliberately to gain quantitative and qualitative data. The integration of quantitative and qualitative data
maximizes the strengths and minimizes the weaknesses of each type of data to ensure validity and reliability. The two forms of data collection were
interviews and questionnaires. Mixed methods was chosen to gain better insight into the issue. This will help to compare, validate or triangulate results
and in doing so may help to identify trends and outcomes, Plano Clark, (2010). Mixed methods research, is more than collecting qualitative data from
interviews, or collecting multiple forms of qualitative evidence (e.g., observations and interviews) or multiple types of quantitative evidence (e.g., ...
The next stage of the process was to structure the order and flow of answerability. The aim of this journal is to assess attitudes of senior rugby players
with regards to safety and performance during the tackle, therefore the researcher thought close ended questions would be most appropriate. Hendricks
et al states ''Closed ended questions provide respondents with pre specified set of answers (items) and response categories,'' (p.267). This in fact makes
answering of the questionnaire less demanding for the subjects involved. Each question consisted of the question, and response categories.
A 5 point Likert scale was used to enable the researcher to measure the significance, frequency and size of each item. For measuring players attitude,
subjects involved had to rate the significance of each question on the following scale: (1) not at all important, (2) not too important, (3) undecided, (4)
somewhat important, (5) very important, ( Hendricks et al, 2011). To assess occurrence of training and training behaviour the following was used, (1)
never, (2) rarely, (3) sometimes, (4) frequently, (5) always.
The finalised questionnaire enclosed 10 questions. The questionnaire consisted of 9 attitudinal questions based on their (players) opinions on tackling
technique and methods used, with the exception of question 1 (how many times to you train in the week). Within this questionnaire players had to rate

Measurement Scales Paper
Measurement Scales Paper
Measurement in Analysis can take on many forms, but in this case, these come in the form of questionnaires. A questionnaire when not done correctly
may not be able to obtain the information in which the corporation may be seeking. There are in general four categories that these fall into.
Categorically, these include Nominal, Ordinal, Interval and Ratio Numbers. The essential goal of this author is to explain to the utmost of authority of
how these fit into questionnaires.
Attitude can play a part in the variables that make up these types of scales: from Nominal to Ratio. The general attitude scale will involve measurement
in the same aspect of taking someone's temperature or providing distance between ... Show more content on Helpwriting.net ...
The question is simply whether each object has more or less of this variable. When scaled, there will be no information as to how much difference
between objects (Aakar, Kumar and Day, 2007). Due to lack of difference between objects, the basic arithmetic operations are limited to statistics
such as the median or mode (this does not include the mean) (Aakar, Kudler and Day, 2007). One example would be to obtain the information
sample of 1,000 surveyed consumers who ranked five brands of auto manufacturer preferred based on quality assumption. The questionnaire may
look similar as ranked from Highest to Lowest with Second, Third, and Fourth all between (Aakar, Kudler and Day, 2007). Where the Second
quality will be categorized as the 'mode', the Third category is the 'median' . There will no means of categorizing a general 'mean' because the
differences in between ordinal scaled values are not necessarily the same (Aakar, Kudler and Day, 2007). Another example of this type of scale could
be found in racing: dog, horse or car, that is they are found in a class standing (Aakar, Kudler and Day, 2007).
Interval–
The Interval scale represents the numbers used to rank objects which also represent equal increments of the attribute being measured. In more discrete
terms, it simply means differences can be compared. The difference between 1 and 2 is the same as that found between 2 and 3,

Qualitative Data Analysis Methods: Interview With a...
Qualitative data analysis Interview This is an interview between the respondent who is conducting a qualitative research and a 20 year old white
individual who is unemployed and hence lives the lifestyle of the lower end in the society. The interviewer generally asks leading questions and notes
reactions or responses from the interviewee and also builds on the answers given by the respondent to ask other questions that help him extract more
information outside the structured leading questions that he came along with. The method used in the data analysis is predominantly a realist approach
to the data that was assembled by the interviewee. This will involve the theorization of the motivations behind the behaviors displayed/explained by the
respondent, looking at the experiences of the interviewee as well as getting the meaning from what the interviewer recorded down and not inferring to
the likely environments that would result in the actions of the respondent or the answers that were derived from the interview. This approach treats the
response from the respondents as a reflection of the reality and truth on the ground and not a representation of another situation that needs interpretation
and decoding to understand (Frith & Hannah, 1997). Data analysis The entire interview hinges on the understanding of the world view of the individual
from his own standpoint and not how he understands the world in relation to the other people in the region where he resides. This

An Interview With Andrea Williams, Principal Of Elena...
Using Strategic Planning
This information was gathered in an interview with Andrea Williams, Principal of Theresa Bunker Elementary. In the past three years that Mrs.
Williams has been principal of this school she has brought a strong focus onto using data to make appropriate instructional decisions as well as execute
strategic planning to help the school progress. The implementation of the PLC process has helped the teachers to gain an understanding of how
valuable data collection and analysis can be for their teaching practice. Looking at data also helps the school attain the yearly goals laid out by the
district's strategic plan. One of the first steps taken in developing a strategic plan for the school is to gather and analyze data in order to find the
school's strengths, weaknesses, opportunities for growth as well as any threats to the progress of the school. Early in the year the strategic planning
team will review quantitative data collected from student achievement scores, attendance rates, discipline trends, financial records, transportation
reports, and so forth. Depending upon the specific issue addressed in the planning process, these types of quantitative data serve to inform
decision–making processes. The collection of qualitative data is also an integral part of best practices in development of a strategic plan. Qualitative
data collection includes use of surveys, focus groups, and interviews with key stakeholder groups. It is important and useful to

Research Methodology: Qualitative Methods of Data...
In the previous chapters I discussed the problem of the lack of healthy eating promotion programs in schools are leaving parents and students
uneducated about how to purchase healthy items which is leading to childhood obesity. I also discussed how the problem is being addressed, as
well as the theory of social constructionism. In this chapter, I will discuss the specific methodology I plan to use and the three different types of data
collection I plan to employ to carry out my study. This study will use a qualitative approach to study and address the issue of the lack of healthy
eating promotion in schools. The three types of data collection I plan to use are: direct observation, focus groups and a questionnaire. These methods
will... Show more content on Helpwriting.net ...
The participants are the only ones who can legitimately judge the credibility of the results. In addition to creditability, transferability is also an
imperative part of qualitative research. Transferability refers to the degree in which the results of qualitative research can be generalized or transferred
to other contexts or settings (Trochim, 2006). From a qualitative perspective transferability is primarily the responsibility of the one doing the
generalizing. In this case, some of the implications can be transferred to another setting such as a university setting. Since this study is taking place in
elementary school setting as well as secondary school setting, it could easily be transferred to a university setting with some alterations.
Another perspective regarding qualitative research is confirmability. Confirmability refers to the degree to which the results could be confirmed by
others (Trochim, 2006). Qualitative research tends to assume that each researcher brings a unique perspective to the study. By applying each of these
concepts to the study, the researcher is able to provide a credible, valid, transferable study. Next, I will discuss the qualitative methods of data collection
that this study will exploit. Qualitative Methods of Data Collection Qualitative research uses a wide variety of methods. It includes virtually any
information that can be captured that is not numeral in

Insider Threat Analysis
Insider Threat Analysis In many insider crimes, managers and other coworkers observed that the offenders had exhibited signs of stress,
disgruntlement, or other issues, but no alarms were raised. Barriers to using such psychosocial indicators include the inability to recognize the signs
and the failure to record the behaviors so that they can be assessed. A psychosocial model was developed to assess an employee' s behavior associated
with an increased risk of insider abuse. The model is based on case studies and research literature on factors/correlates associated with precursor
behavioral manifestations of individuals committing insider crimes. To test the model's agreement with human resources and management
professionals, we conducted an experiment with positive results. If implemented in an operational setting, the model would be part of a set of
management tools for employee assessment to identify employees who pose a greater insider threat. The insider threat refers to harmful acts that
trusted individuals might carry out; for example, something that causes harm to the organization, or an unauthorized act that benefits the individual.
The insider threat is manifested when human behaviors depart from established policies, regardless of whether it results from malice or disregard for
security policies. The most serious crimes and abuses include espionage, sabotage, terrorism, embezzlement, extortion, bribery, and corruption.

Qualitative Data Analysis In Nursing
The plan for the analysis phase includes organizing and interpreting date so that others can understand the data being reported (Bonnel & Smith,
2014). The first step of the data analysis process will begin with an initial report of the collected data. This initial data will be collected through
interviews and surveys that are completed by the participants. A description of the patient sample characteristics will be examined. The patients who
participated will be described by their age, gender, and length of stay in the hospital. Furthermore, these characteristics will be categorized into columns
when providing the information on an Excel spreadsheet. Qualitative data analysis is the next step in the process. Generating themes from data is...
The purpose of this study is to learn the benefits of bedside report, and how it affects patient care in the terms of safety and satisfaction. You were
selected at random as a possible participant because you are a patient on this acute care floor. Study Procedures If you decide to participate, you will
be asked to fill out a 10 question survey online about your recent experience with your nurses doing report at the bedside. The process should take
about 10 minutes, and will not be any expense to you. Risks There are no risks associated with this study. Benefits of the Study The benefits of this
study are to identify the positive aspects that bedside report provides for the patient. Compensation There will not be any benefits or compensation if
participating. Confidentiality The information that is obtained from this study will remain confidential and will be disclosed only with your
permission. Participant

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