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Quantitative and Qualitative Job Insecurity and Well- Being - Report

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Added on  2020-07-22

Quantitative and Qualitative Job Insecurity and Well- Being - Report

   Added on 2020-07-22

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Associations between Quantitative andQualitative Job Insecurity and Well-Being
Quantitative and Qualitative Job Insecurity and Well- Being - Report_1
TABLE OF CONTENTSQ1: SAMPLE SIZE.........................................................................................................................1Q2: SAMPLING METHOD............................................................................................................2Q3: MEASURES OF VARIABLES................................................................................................3Q4: COLLECTION OF DATA ON SOCIAL DEMOGRAPHICS................................................3Q5: RESEARCH DESIGN..............................................................................................................4REFERENCES................................................................................................................................6
Quantitative and Qualitative Job Insecurity and Well- Being - Report_2
Q1: SAMPLE SIZEIn order to conduct the research study to analyse association between quantitative andqualitative job insecurity and well-being of employees working in different banks at Belgium.They identified that there were total 69000 employees working in 63 Belgian banks. Researcherscontend that surveying all the employees would be too expensive and thus, they decided tosurvey a sample of 15000 employees (21 per cent of total employees). Sampling refers to theprocess of taking small proportionate of collected data from a large pool of information. It can beelaborated as a precise principle utilised to select member of populations which is to be includedin the study. In other words, due to large size of target population, researchers have no choice butto study the number of cases of elements within the population to represent the population an toreach conclusions about the population (Palinkas and et.al., 2015). As there was large size of population available for research, researcher found thatcollecting data and questioning large population was pragmatically not possible for them. Thus,they decided to take out the sample and collect data from them. Sampling is essential andnecessary when the population of participants is large. Without taking sample, researcher willeventually increase their time, cost and efforts. Sampling is the process through which researcherwill easily be able to collect, analyse and interpret research data (Bryman, and Bell, 2015). Thesample of the study is initially the participants of the study. Sampling is a crucial element ofresearch as it put a significant impact on the quality of research findings and outcomes. Throughaccurate and precise sampling, researcher can produce accurate results. When the population ishumongous, it is impractical and time consuming to study the whole population. Furthermore, if the sample is too small or excessively large, it can affect the results orproduce incorrect outcomes. It is crucial for researchers to make precise decision in order to takeappropriate sample size so that data can be collected appropriately and analysis can be donethoroughly. Sampling is necessary when carrying out research study as researcher cannotobserve, study or survey everyone in the population (Bryman, 2015). In order to obtain accurateresults and findings, samples are necessary. In the research study conducted by researchers, theydetermined to take all 63 Belgian Banks and select a proportion of 21 per cent of employeesfrom each bank as a sample for surveying. Through this, they were able to gather data of all thebanks and thus, they were able to produce precise results. 1
Quantitative and Qualitative Job Insecurity and Well- Being - Report_3

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