Solved by verified expert:Hello,Here are the instructions for this assignment. Please keep in mind my variables are:Dependent variable- Independence & Problem SolvingIndependent Variable- Emotional intelligenceFor this assignment, you are expected to use the Sample Annotated Bibliography document as a template. You must accomplish the following tasks: APA_Sample_Annotated_Bibliography copy.pdf Select a minimum of 20 peer-reviewed or scholarly publications for ONE of the literature streams you intend to use in your literature review.A literature stream is dedicated to each specific variable in your specific analysis. For example, if you were to conduct a research study to determine the correlation between shoe size and IQ, one stream of literature would be about shoe size, and the other would be about IQ. These streams will have to be clearly defined in your Week 7 paper, so the better the literature selected for this assignment, the better off you will be when it comes time to write that paper.I have uploaded last weeks assignment, that would be good to check out first.
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ANNOTATED BIBLIOGRAPHY
1
APA 6th Edition Guidelines: Annotated Bibliography
An annotated bibliography is the full citation of a source followed by notes and commentary
about a source. The word “annotate” means “critical or explanatory notes” and the word
“bibliography” means “a list of sources”. Annotations are not the same as abstracts. Abstracts
are purely descriptive summaries often found at the beginning of scholarly/ academic journal
articles. Annotations are meant to be critical in addition to being descriptive.
Format:
The format for an annotated bibliography is similar to that of a research paper. Use one-inch
margins on all sides, double-space your entries, and arrange each entry in alphabetical order.
Hanging Indents are required for citations in the bibliography, as shown below. The first line of
the citation starts at the left margin and subsequent lines of the citation will be indented.
Example: Journal Article with DOI
Calkins, S., & Kelley, M. (2007, Fall). Evaluating internet and scholarly sources across the
disciplines: Two case studies. College Teaching, 55(4), 151-156. doi:10.1111/j.17477379.2007.00759.x
This article discusses the problem of unintentional online plagiarism and many
students’ inability to evaluate, critique, synthesize, and credit online sources properly.
Two case studies from different disciplines, which were designed to foster critical
evaluation of the Internet and scholarly sources, are discussed in detail. The CARS
(Credibility, Accuracy, Reasonableness, Support) checklist for evaluating research
sources is also introduced and applied in these case studies. I found this article useful
because much of the content of these case studies can be easily adapted to fit
assignments in different academic disciplines. One information literacy assignment
in one quarter at college is not enough. If students are expected to use the Internet in
a responsible way, educators must provide guidelines and relevant experience that
allows students to apply those guidelines in practical ways.
Updated 02/2010
ANNOTATED BIBLIOGRAPHY
2
For annotated bibliographies, use standard APA format for the citations, then add a brief entry,
including:
•
•
•
2 to 4 sentences to summarize the main idea(s) of the source.
o What are the main arguments?
o What is the point of this book/article?
o What topics are covered?
1 or 2 sentences to assess and evaluate the source.
o How does it compare with other sources in your bibliography?
o Is this information reliable?
o Is the source objective or biased?
1 or 2 sentences to reflect on the source.
o Was this source helpful to you?
o How can you use this source for your research project?
o Has it changed how you think about your topic?
Example: Journal Article without DOI (when DOI is not available)
Calkins, S., & Kelley, M. (2007, Fall). Evaluating internet and scholarly sources across the
disciplines: Two case studies. College Teaching, 55(4), 151-156. Retrieved from
http://www.heldref.org/pubs/ct/about.html
This article discusses the problem of unintentional online plagiarism and many
students’ inability to evaluate, critique, synthesize, and credit online sources properly.
Two case studies from different disciplines, which were designed to foster critical
evaluation of the Internet and scholarly sources, are discussed in detail. I found this
article useful because much of the content of these case studies can be easily adapted
to fit assignments in different academic disciplines. One information literacy
assignment in one quarter at college is not enough. If students are expected to use the
Internet in a responsible way, educators must provide guidelines and relevant
experience that allows students to apply those guidelines in practical ways.
Updated 02/2010
Week Two: Crafting Methodology Section
November 5, 2017
Crafting Methodology Section
Orange computers is an established computer company that intends to work on a project
designed to ascertain how the various factors of emotional intelligence impacted factors assessed
by proprietary metrics such as employee performance, employee engagement, and employee
satisfaction. The demographic data was also collected to aid in the analysis.
Dependent variable- Independence & Problem Solving
Independent Variable- Emotional intelligence
Design
The research seeks to determine how the various facets and subscales of emotional
intelligence are assessed through the use of Bar-On’s EQi, impacted factors assessed by
proprietary metrics such as employee engagement, employee satisfaction, and employee
performance. The dependent variable of the research project is emotional intelligence whereas
the independent variables include independence and problem-solving. The research project will
take the quantitative research methods approach in the collection and analysis of data. The tools
to employ in the collection of data include observations, Bar-On’s EQi, attitude scales,
questionnaires as well as interviews.
Rationale
Quantitative research is an empirical study of the research question that employs the use
of methods that are scientific. The gathered results can be statistically analyzed for the purpose
of testing the hypothesis. Through quantitative research methods, large amounts of data can be
gathered. In this case, demographic information such as age, race, sex, ethnicity, and length of
employment can be gathered and statistically analyzed. This will allow for a very small degree of
bias. For instance, if several other researchers analyze the same data, using the same procedures,
they will certainly end up arriving at the same conclusion. The other reason for employing
quantitative data is because the researcher is in a position to control the process of data
collection. This can be through the administration of the questionnaires, structuring the questions
and even conducting the interview sessions. Additionally, quantitative research method is more
suitable for answering the research question on how emotional intelligence impacts employee
engagement, employee satisfaction and employee performance (Creswell, 2013). The
quantitative research fits the description because it evaluates the relationships that exist or may
not exist among variables and may also determine the causes and effects in environments that are
highly controlled.
With regards to the instruments of collecting data, questionnaires are the most
appropriate tools that can be used in the gathering of the demographic data of the population
under investigation. This is because the instrument can be easily administered and the population
is mentally and physically able to complete the questionnaires. Data collection through
questionnaires is economical and saves time. Interviews will also be used since the rate of
response is high, verbal and non-verbal cues can be noted, answers can be acquired from a vast
range of contexts and finally, with interviews, there is explanation and clarification of questions.
This is through the use of interviews that are structured.
Bar-On’s EQi will be used to measure various facets and subscales of emotional
intelligence. The data collection tool is the most reliable and proven to be the best tool that can
collect and assess data that is emotional in nature, which in this case is emotional intelligence.
Attitude scales are self-reporting instruments of collecting data which ask the subjects to
report how they feel or their attitudes on a continuum (Cirt.gcu.edu., 2017). This will give
information on how satisfied or dissatisfied the individuals are with the activities they undertake.
Population
The accessible population of the research project will involve all employees at the
Orange Computer company. The population will be used to determine how emotional
intelligence is impacted by independence and problem-solving. The findings will be a
representation of not only the impacts of facets and subscales of emotional intelligence on the
three proprietary metrics at Orange Computer Company but in any other organizational setting.
The demographics of the sample population will investigate the age of the participants in years,
sex whether male, female or transgender, race (White, Black, Asian, Native American/Alaska
Native, Native Hawaiian/Pacific Islander, Other), ethnicity (Hispanic or non-Hispanic), and
length of employment (in months).The facets and subsets of emotional intelligence can be
varying across demographics and as such, various demographic information needs to be
collected to increase the precision of the research findings.
Sampling Techniques
Quantitative researchers have interests in being in a position to make generalizations
regarding groups which are bigger than their samples (Creswell, 2013). In the case of Orange
Computer research project, probability sampling method will be used. Probability sampling is
where the likelihood of a subject being picked in the sample is known. With respect to
probability sampling, stratified sampling will be used in the study. With stratified sampling, the
population will be categorized into strata with regards to the independent and dependent
variables.
Justification
Stratified random sampling is most suitable for the collection of data from the sample
population because different employees within Orange Computer Company are designated to
perform certain job activities at their various levels or departments. This will characterize the
sample population in job activities as the identical characteristic. Random samples from every
stratum will be taken in a number that is proportional to the size of the stratum when equated to
the population. The random sample is then formed by pooling the subsets of every stratum. The
reason for adopting stratified sampling is because it captures the characteristics of a key
population in the samples. Stratified sampling gives traits in the sample which are proportional to
the whole population. The sampling method is also appropriate for a population such as the one
at Orange Computer Company which has diverse attributes ranging from demographics to the
nature of work done by employees from various levels in the organization. To precisely narrow
down on the type of stratified random sampling, the company will employ proportionate
stratified random sampling. This implies that every stratum will have an equal fraction of
sampling.
Additionally, given that the study will investigate the demographic aspects of the
population, categorizing the aspects in strata is very convenient in analyzing the data that is
collected. Therefore, this method of sampling is the most appropriate for this kind of study where
relationships and effects are being studied-determining how the different facets and subsets of
emotional intelligence impact independence and problem-solving. With the technique of
stratified sampling, the smallest subgroups in the population can be representatively sampled
enabling the researcher to test the population’s rare extremes. The technique gives a high
statistical precision as opposed to other random sampling techniques since the variability in
subgroups is low as opposed to variations exhibited when tackling the whole population. Finally,
as a result of a higher statistical precision demonstrated by the stratified random sampling
techniques, it also implies that the sample size required is small and will save so much on time,
efforts and resources such as money to both the researcher as well as Orange Computer
Company.
Data Analysis
The data collected will be analysed by using descriptive statistics. Descriptive statistics
will be used to analyze data gathered from the demographics. Descriptive statistics is best in the
analysis of such data because it is easy to work with, the modes of data collection permit the
capture of in-depth data which in this case is quantitative. This gives the researcher a
multifaceted approach in both the analysis as well as the collection of data
References
Cirt.gcu.edu. (2017). Sampling methods. Center innovation in research and teaching. [online]
Retrieved from
https://cirt.gcu.edu/research/developmentresources/research_ready/quantresearch/sample
_meth.
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods
approaches (4th ed.). Thousand Oaks: Sage Publications, Incorporated.
…
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