Associations between Quantitative and Qualitative Job Insecurity and Well-being

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Running head: RESEARCH AND STATISTICAL METHOD FOR BUSINESS
Research and Statistical Method for Business
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RESEARCH AND STATISTICAL METHOD FOR BUSINESS
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Table of Contents
Q1: Sample size...............................................................................................................................3
Q2: Sampling method......................................................................................................................3
Q3: Measures of variables...............................................................................................................4
Q4: Collection of data on social demographics...............................................................................6
Q5: Research design........................................................................................................................6
References......................................................................................................................................11
Appendix........................................................................................................................................13

RESEARCH AND STATISTICAL METHOD FOR BUSINESS
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Q1: Sample size
This sample size is necessary because large samples are highly nearest to the population.
Furthermore, the primary goal of using a larger sample is to collect depth and a wide range of
data from a sample to the population. An investigator has selected large sample size to make less
assumption in the project. This sample size provides more reliable outcome with high quality and
validity, however, there is a need for the high amount of cost and time (Taylor, Bogdan, and
DeVault, 2015). The large sample size is more required to generate outcome between variables,
which are significantly diverse. For qualitative research, the goal is to ‘decline the possibilities of
identifying failure’. A larger sample contains more people as there is a chance of getting the
wide range of prospect information and construct picture for evaluation. In addition, large
sample size demonstrates the population and limiting the influence of tremendous observation
(Lewis, 2015).
Q2: Sampling method
Probability sampling is the current sampling method in this research. This method relies on the
facts that each participant of the population have a known and equal opportunity of being chosen.
Under this research, simple random sampling method has selected as population member are
related to one another on the significant variable (Silverman, 2016).
Advantages of using Random Sampling
Random sampling permits an investigator to conduct the assessment of information, which is
gathered within the lower margin of error. It is permitted as the sampling occurs within particular
boundaries that state the sampling procedure. The whole procedure is randomized and the
random sampling demonstrates the whole population and it also permits the facts to give the
precise perception of particular subject matters (Smith, 2015).

RESEARCH AND STATISTICAL METHOD FOR BUSINESS
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It is also evaluated that simple random sampling permits each person within targeted area to have
an equal probability of being chosen. It aids to generate more accuracy within the pooled
information as each participant has 50/50 chances. It is a procedure, which develops the inherent
fairness into the conducted research as no earlier facts regarding the involved person are entailed
into data gathering procedure (Glaser, and Strauss, 2017).
Another benefit of using simple random sampling method is that there is no need for specific
understanding regarding the information being gathered. It could be effective to complete the
aim and objectives in an efficient and effective manner. An investigator could ask with
employees working in the Belgian banks affiliated to the sector’s joint industrial committee in
2001 without knowing about the Belgium banking structure. In random sampling, a question is
asked and then responded. A question is reviewed for a particular purpose. An investigator can
attain the aim and objectives of the project due to performing the task and pooling the
information by using the simple random sampling process (Neuman, and Robson, 2014).
Disadvantages of Random Sampling
Under this sampling method, each individual should be individually interviewed and reviewed
hence the information could be properly gathered. While individuals are in groups, then their
answers tend to be persuaded by the responses of others. It shows that an investigator should
perform with each person on 1 on 1 basis. It requires more resources, efficiencies and time as
compared to other research technique. For this process, a high level of skill is necessary for an
investigator as they can separate the feasible information that has been pooled from inappropriate
facts and figures. Further, if the skill does not exist then the reliability of conclusion produced by
the presented data may be complex (Denzin, 2017).
Q3: Measures of variables