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Importance of Population and Sampling in Research

   

Added on  2022-12-27

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Table of Contents
Question 1........................................................................................................................................3
The importance of the population................................................................................................3
Sampling is becoming increasingly important.............................................................................3
Organizational illustrations of pertinent models, concepts, and hypotheses...............................4
Theories and Research According to Phenomenology................................................................4
Theoretical and applied aspects of qualitative ethnographic research.........................................5
Grounded theories........................................................................................................................5
Question 2........................................................................................................................................7
The contrasts between primary and secondary sources of information.......................................7
Information obtained from primary resources.............................................................................8
Data derived from Secondary sources.........................................................................................9
Question 3......................................................................................................................................11
Qualitative Measures..................................................................................................................11
Question 4......................................................................................................................................13
Concerns that crop up at various points during the process of making a decision....................14
Decision-making Definitions of the Models, Illustrated with Examples from Organizations...14
References......................................................................................................................................17
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Question 1
When planning a new piece of research, the terms "population" and "sampling" are of critical
importance in the design process. A group of people who share a number of characteristics is
known as a set. A representative cross-section of a broader population or demographic category
is referred to as a sample size. The term "sample size" refers to the number of individuals that are
included in a standard random sample (Hunt, 2018). When scholars have accessibility to a
sample size that has been more precisely calculated, they are able to have a greater measure of
trust in the findings that they draw.
The importance of the population
During an investigation or experiment, the phrase "population" is used to describe a group of
connected entities or occurrences that are being studied. Either a true group of things or an
anticipated, theoretically infinite group of people who are imagined as a generalization based on
previous experience should be the basis for a reaction rate. It doesn't matter if the members of a
demographic make up a whole region or a group of people who share a common attribute; the
demographic is still its own distinct group of individuals. According to statistics, a population is
a generic group of people from which a quantitative population can be selected (Kotler & Gary,
2018). The term "population" is used in statistics to refer to the entire list of all possible
observations, and this list is referred to as the "population." As an illustration, if a study were to
be conducted on the height of adult women, then the subgroup would include the accumulation
of masses for all women on the planet. Researchers employ a parameter known as the p-value to
determine whether or not such a finding is statistically significant. If the p-value is lower than the
significance level at which it was analyzed, the result is considered statistically significant. The
p-value is calculated using the mean and standard deviation of the data samples as the inputs.
Sampling is becoming increasingly important.
This investigation would not have been possible without the results of the sampling. The inherent
discrepancies between the overall population and the sample that is representative of that
population make sampling errors likely. Consequently, it is imperative to adopt an example
method that is both more relevant and also more advantageous. Errors fall into three broad types,
with the most common three being:
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sampling errors arise when the demographic make-up of a selected group differs from
that of a population from which they were drawn.
When a sample is taken from the wrong percentage of the population, errors can develop
in the data set. Gender roles, religious views, or economic hardships could be to fault.
There is a systematic error in approach if there is a major disagreement between the
findings of something like selection and the population's judgments.
Organizational illustrations of pertinent models, concepts, and hypotheses
Theories and Research According to Phenomenology
A phenomenological method to research aims to get to the bottom of an event's meaning and
uncover its underlying significance. In the early decades of the twentieth century, notably the
first few decades of the century, this particular kind of research initially appeared. In the course
of conducting research on a topic, it is customary to set aside any preconceived assumptions or
prejudices about that topic before focusing on people's everyday experiences. In a word, the
objective of phenomenology research is to get a deeper knowledge of how humans make sense
of the events in their own lives.
Researchers employing the phenomenological technique assume the existence of an underlying
framework or essence when utilizing their experiences. By examining the participants' thoughts,
feelings, and beliefs, researchers can gain a greater understanding of the topic under
investigation. To conduct phenomenological research successfully, a researcher must discard any
and all prior preconceptions regarding the topic at hand.
Researchers use phenomenology research designs to determine the universality of a phenomenon
by assessing the feelings of people who have experienced it. In order to gain a deeper
understanding of how live animals think and to widen their knowledge of a subject, researchers
frequently employ techniques similar to this one.
Organizational example: Take, for instance: Someone will investigate a phenomenon when
conducting research on it, such as the behavior of coworkers in response to the potential of
extending working hours or reasonable hours in the workplace (Weeks & Marx, 2014). This is
related to the individual's personal life experiences with this and all other things.
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