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 25, 2020BUACC5931

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

Viswanathan answered on Apr 29 2020
154 Votes
Introduction
The main objective of this study is to determine the association of employee’s perception of quantitative and qualitative job insecurity with job satisfaction, and psychological distress in the Belgium banking sector. Job insecurity is defined as the employees’ concerns about their work-related future. There are two kinds of job insecurities, the quantitative job insecurity and the
qualitative job insecurity. The quantitative job insecurity is about the treat to the continuation of the job in the future. The qualitative job insecurity is about threat to the various valued aspects of the job, such as job content or working conditions. The purpose of collecting data on variables such as gender, age, educational level etc was used to determine whether these demographic variables provide a significant influence over the job insecurities. Normally old aged employees are highly concerned with job insecurity as they tend to have a fear of losing their job due to age factor and also technology updating which they could not able to accommodate. In addition, the employees with less educational qualification too are highly concerned with job insecurity as they tend to have a fear of losing their job due to age factor and also technology updating which they could not able to accommodate
The two kinds of research techniques that are widely used in all business situations are Quantitative and qualitative research methods. Quantitative methods was used to determine the research objectives using the data that was collected through various sampling techniques. While qualitative research methods are research methods that are most commonly used in social research methods and these methods are limited to researcher view. In quantitative research methods, mean, median and mode are calculated to determine the central tendency. When the distribution is symmetric, then all of these three measures are appropriate measures of central tendency. On the other hand, when the distribution is skewed, either right or left, then mean is not considered as the appropriate measures of central tendency. Since the mean has higher chance of getting influenced by outliers or extreme points, we need to consider for an alternate central tendency measure, called median to describe the distribution of these variables. For skewed distributions, the inter quartile range, should be used to measure the variation of the data taken into consideration
Sample Size
In total, there were 69,000 employees working in the 63 Belgian banks affiliated to the sector’s joint industrial committee in 2001. As questioning all employees would be too expensive, the researchers decided to survey a sample of 15,000 employees
The data which was taken into analysis needs to be free from outliers or extreme points and therefore, data cleaning process needs to be done. In order to identify the outliers, Kolmogrov Smirnov test was used. Once the outliers are identified, they are then cleaned and removed from the original data before running the analysis
The sample size taken for this study is very large, therefore, there are many chance to say that the sample is a representative of the population taken into consideration and it may avoid many possible biases. Normally it is expected that the population mean of the distribution of sample means must coincide with the population mean of the sample from which it is taken. This indicates that the distribution of the mean will remains same forever. The standard deviation of the sample means is nothing by the population standard deviation divided by the square root of the sample size. This indicates that there exists an inverse relationship between sample size and sample standard deviation. That is, when the sample size increases, then the sample standard deviation decreases and vice versa
Sampling Method
Sample selection and appropriate use of sample size plays a major role in statistical analysis and reliability of the study....
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