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RE: Factors For choosing amixed methods design
Hey Matthew Bragen
It was good reading your post for ...
RE: Factors For choosing amixed methods design
Hey Matthew Bragen
It was good reading your post for this on factors to consider when choosing the mixed methods
design. The six factors that should be considered when choosing the mixed methods have helped
determine the excellent approach for the design methods. From the study of pilot fatigue, Ibet
that you have come up with factors used in the quantitative data compared to the jumpsuit and
interviews carried out. As you have compared the pilot fatigue and the accidents in quantitative
data, ithelps determine how pilots experience fatigue when they see accidents happening. We
learn about the pilot's schedule like the sleep, work situations, and fatigue, which contribute to
similar info that is measured. The six factors you have stated from the Creswell which are
considered when choosing the mixed method design include data collection timing, data
integration, expected outcomes, adesign that suits the field, database emphasis, and research
team (Caldwell, 2012) .From those factors, they help in shaping the design results when using
the mixed-method approach. As the factors are well suited, they help research the pilot fatigue
with the causes and the results if they are similar and not identical. It's good how you realized
that building quantitative data is not the best way to suit the topic. It's good to realize that
interviewing and getting first data can help make sure that you uncover exciting things that are
not found in the quantitative data. With the primary goal of comparing and contrasting the data,
qualitative and quantitative data will have similar significance and emphasis. The mixed-
methods design for this method will uncover interesting facts and give out meaningful
conclusions. The researcher needs to find asuitable method to help uncover the results that are
needed for the study.
Caldwell, S. (2012). Crew schedules, sleep deprivation, and aviation performance. Current
Directions in the Psychology Science ,85-89.
RE: mixed methods experimental design
Hey Michael Stein
It was interesting reading your post for this week on mixed methods experimental design.
This is adesign that helps in testing and discovering how could improve the current methods.
You have stated that mixed methods design involves collecting and analyzing the qualitative and
quantitative data, which helps integrate the information within the intervention trials. For this
task, Iagree with you that the mixed methods experimental design will be an excellent tactic that
can help test how to develop the new technology for the pilots. Within this study, the usage of
mixed-method research is not anew idea to the aviation industry, as itis the most commonly
used when researching aviation, and Iagree with that. During the exploratory sequential core
design stage, we can develop and understand what advances in technology apilot could utilize
for better improvement of the piloting. Also, there is participant recruitment for study at this
stage and develop pre and post-test measures to understand the improvement better. This all
happens before the experiment begins. Also, at this stage, the interactive approach uses the
interactive approach, which is used for the iterative collection of data and analysis, which could
lead to some changes like the procedures used for the data collection. From observation and data
recording, the new technology affects the pilots and their ability to fly the aircraft. While
observing and collecting this data, we can also discover any potential mediating and moderating
factors. The qualitative data are collected and analyzed second in the sequence and help explain
or elaborate on the quantitative results obtained in the first phase". During this last phase of the
experimental design, we can infer why the results occurred. This is avital portion of any
research study. Using the explanatory sequential core design allows for examining the numeric
data and interviewing participants for additional data (Creswell & Creswell, 2018) .Ithink this
would be most beneficial for developing new aviation technology. We want to discover that it
provides better results for flying, but if itbenefits the pilots.
Creswell, J. W., & Creswell, J. D. (2018). Research Design Qualitative, Quantitative, and Mixed
Methods Approaches. Los Angeles: SAGE.
RE: Mixed Methods Research Strategy
Hey Christine Sperduto
It was exciting reading your post for this week on mixed methods research strategy. This is a
strategy used in collecting and analyzing the quantitative data used in building the first research
phase and secondary research for the qualitative data. From your research, Ialso agree on the
process which starts with data collection. This first procedure is very challenging due to the noise
impacts surrounding airports; Iwill conduct sound trials surrounding amajor metropolitan
airport. Essential considerations for collecting data include instrumentation to be used, collecting
the data, organization of data received, and outliers. From the study, it's essential to determine
quantitatively where the sound is the loudest, and for the most extended periods, Ican begin with
the qualitative research. It is also important to contact the interviews where some may be
impacted negatively due to the noise's interactions. Due to that, there is allowance when
determining the most impactful –short but loud noise impacts; ambient noise heard all day, or a
combination thereof (Creamer, 2018) .Once the qualitative data is received, Iwill need to
transform the data to understand how itrelates to the quantitative data. The assignment will
indeed have great significance if the data will be correct, validated by other studies and both the
study's aspects, making this study successful. It's true that when the data collection process is
complete, the information will need to be organized for the report. Typically, sequential studies
organize the data first by quantitative methods and data, then qualitative methods and data, then
conclusions and interpretation. The interpretation is where the researcher can outline how to
qualitative findings helped the quantitative aspects of the research. For this approach's advocates,
Ican also value using qualitative and quantitative data in one place.
Creamer, E. G. (2018). Striving for Methodological Integrity in Mixed Methods Research: The
difference between Mixed Methods and Mixed ‐Up Methods. Journal of Engineering
RE: Mixed Method Designs
Hey Sho Mehring
Your post for this week on mixed-method design has been interesting when reading it. It
provides the qualitative and quantitative mixture, which can be developed for the research's main
conclusion. Within developing amixed-method experiment, the researcher must establish set
boundaries so that the readers understand what is going on. You have given behold that these
methods are not well known to the human and social science compared to the distinct approach.
That's why it's essential to convey the basic description and approach definition for the proposal
section method. Some of the textbook factors indeed create asuccessful mixed method
experiment as itprovides the reader with aclearer understanding of the type of experiment and
how the experiment is conducted differently with regards to quantitative and qualitative
Experiment: An experiment Iwould like to design is to analyze the effects of multi-cultural
learning on an individual's ability to learn and conclude whether itprovides amore significant
benefit to their overall academic development (Mantiri, 2013) .
Design: The concurrent mixed method design best suits this experiment due to its ability to
simultaneously collect qualitative and quantitative data. For this assignment, the examination of
the cultural effects on learning is required and the qualitative data to be collected and compared
to the quantitative data, which would ultimately be the participants' academic results.
Rational and factors: there are three factors which include definition, terminology, and
background of methodology. These are relatively straightforward to explain to the reader as they
appear in most research papers regardless of the type of experiment being conducted. Many of
these factors exist either in the abstract or the research paper's introduction, providing readers
with an immediate understanding of what to expect throughout the research paper. It's correct
that when all the factors are managed well, the experiment should produce data that points to a
multi-cultural background assisting students in becoming better learners that will hopefully
benefit them further on in their life and career.
Mantiri, O. (2013). The Influence of Culture on Learning Styles. ssrn.
RE: Mixed methods
Hey Nathan Hinds
It's great reading your post on Mixed methods, which Ithink you did an excellent job on.
It's good to address your ideas on aparticipatory-social justice design well-suited to any field of
study, and aviation is no exception. From your analysis, it's clear how you had "To identify and
understand the causes underlying female underrepresentation in the industry." You also
considering the prevalence of sexual harassment in the workplace for pilots. Unfortunately, the
issue remains prevalent as you have addressed the study on human resource issues in the industry
that acommon theme is "the lack of respect and outright sexual harassment experienced by
women working in the airline industry." The study seems to have asignificant study on how to
support groups of victims of workplace sexual harassment, including "feedback" and a
continuous open dialogue "with community stakeholders" for question three, you have explained
well how the mixed methods intervention design offers the researcher the multifaceted nature of
qualitative research combined with the experimental nature of the quantitative design. That helps
determine the barriers between the participant's and facilitator's experiences on trial and how the
participants experience the treatment (Onwuegbuzie & Johnson, 2006) .
In most cases, the design produces numerous threats to validity, leading to several threats to
validity for mixed-method studies in general. Many of those mentioned apply to the design
presented. From the study, both the observer and the participants are indeed being scrutinized;
striking abalance between the two entities can pose achallenge. It is also important to note the
balance between qualitative and quantitative aspects. The results must be interpreted based on all
of the data acquired regarding the mixed-method intervention types, rather than relying heavily
on the empirical results or the interview phase.
Onwuegbuzie, A. J., & Johnson, R. B. (2006). The validity issue in mixed research. .research in
the Schools ,48-63.
RE: Mixed method design
Hey Yohanna Enders
It's great reading your post on Mixed method design which Ithink you did an excellent
job on it. It's clear how you have arranged your ideas that focus more on aviation environmental
factors and the effects on communities. From your research, three variables like air pollutants,
noise pollutants, and water pollutants, will be considered, which Ithink will give good results.
When choosing the mixed-method case study design, the researcher uses one or more of the
design styles to be any grouping of convergent, explanatory, sequential, or exploratory sequential.
The three pollutants in the research study that will be examined and what causes them one first
examine air pollutants. Using quantitative and qualitative research methods to gather data is
essential in the data within aviation to ensure the safety of those around communities. Air
pollutants cause by engine emissions put out into the air (Koryak & Stafford, 1998) .Other air
pollutants that the aviation industry produces are from ground equipment. The second pollutant
caused by aviation will be noise pollution from engines and other aviation equipment that affect
surrounding communities of airports. The last pollutant is water pollution caused by deicing fluid
and other fluids such as oil and gas. The relationship on mixed methods design one needs to take
aquantitative survey which can be done by taking noise pollutant survey from surrounding
communities on taking all the information about the drainage engineers in the field of aviation
can take the data and develop new areas that will be adequate in the drainage of dicing fluids. On
the engine test with those that design and develop engine while the surrounding water areas can
measure the water pollution, pollutants can disperse into around airports. The engineers took
the landscape and information based on runoff from ramp spaces to develop drainage under the
airport's concourses that separated clean and contaminated runoff into ponds.
Koryak, M., & Stafford, L. J. (1998). The impact of Airport Deicing Runoff on Water Quality
and Aquatic Life in Pennsylvania Stream. Journal of Freshwater Ecology ,288-298.
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