Associations between Quantitative and Qualitative Job Insecurity and Well-being De Witte et al XXXXXXXXXXinvestigated the association of employee’s perception of quantitative and qualitative job...

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Answered Same DayApr 22, 2020BUACC5931

Answer To: Associations between Quantitative and Qualitative Job Insecurity and Well-being De Witte et al...

Soumi answered on Apr 25 2020
153 Votes
Running Head: QUANTITATIVE AND QUALITATIVE JOB INSECURITY    1
QUANTITATIVE AND QUALITATIVE JOB INSECURITY     2
ASSOCIATIONS BETWEEN QUANTITATIVE AND QUALITATIVE JOB INSECURITY AND WELL-BEING
Table of Contents
Q1: Sample size    3
Q2: Sampling method    3
Q3: Measures of variables    4
Q4: Collection of data on social demographics    5
Q5: Research design    6
References    7
Q
1: Sample size
    A sample is the representation of the population that is directly involved in the research and is directly related to the impact of the research issue. Hence, they are also affected with the outcomes that result from the research investigation. As mentioned by Vittinghoff and Neilands (2015), since the sample represents the population and is its subset, therefore, it cannot be too small in size. It is so because since the impact of the research issue is imposed upon the sample of the population, therefore, it is not possible to study an effect that is imposed upon such a small size of sample. In fact, often, it has been noticed that due to a sample being quite small in a research, the impact of the research variable are not even expressed properly on the sample. Consequently, it prohibits from studying the research issue adequately.
As supported by Malterud, Siersma and Guassora (2016), since the sample represents a population, all the characteristics of the members of the sample should be a reflection of all the characteristics of the population it represents, with very minor variations. Hence, for example, if the pattern of the sample is studied, then the population must depict a similar pattern, with only slight variation. Hence, if a sample size is too small, it is highly likeable that there might be a number of groups within the population, which might have a variety of characteristics, all different from one another, thus, imparting to them an individualistic characteristic.
Thus, these might not serve as a representation of the population as a whole, and rather, form groups in it. Therefore, when in the mentioned study by De Witte et al. (2010), sample size was taken to be about 21% of the 69000 bank employees, then the sample size fulfilled the criteria of these 15000 employees being sufficient for representing the entire bank employee population. Hence, this sample size is necessary for the research.
Q2: Sampling method
    In the current research by De Witte et al. (2010), the sampling method of simple random, probability sampling technique has been used. There are a number of sampling techniques, out of which two of the most commonly used ones are probability and non-probability sampling techniques. As mentioned by Maximova, Moffatt, Ma, Nussinov and Shehu (2016), a simple random, probability sampling technique is used when the researcher wants to sample the participants randomly, without being selective about their specific characteristics, knowledge or designation. Hence, their sampling technique is known as probability, because in this type, every participant has the probability of receiving an opportunity to respond in the investigation. Given the fact that in the research by De Witte et al. (2010), there were 69000 staffs employed in the 63 banks of Belgium, therefore, it is not possible to select them individually. Besides, in order to avoid the chances of being more biased towards any particular bank and not focusing upon the other, this technique has been the most appropriate.
    The advantages of simple random, probability sampling technique are:
· It is quite easy to implement
· The samples are selected without any bias, leaving no scope for selective decision-making, while selecting them
· It is also...
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