BUACC XXXXXXXXXXSemester 1, Assignment 1 Associations between Quantitative and Qualitative Job Insecurity and Well-being Research questions De Witte et al XXXXXXXXXXinvestigated the association of...

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BUACC5931 2019 Semester 1, Assignment 1 Associations between Quantitative and Qualitative Job Insecurity and Well-being Research questions De Witte et al. (2010) investigated 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 threat 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. Data collection and respondents 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 (roughly 21%). All the 63 banks participated in the survey. About 21% of employees in each bank were invited to participate in the survey. Within each bank, the respondents were selected at random with no particular quota for gender, age or employee level. The survey was based on addresses which had been provided by the banks (name, language, address) and each randomly selected employee received a personalized envelope through regular mail, sent to him/her by the employer. The completed questionnaire needed to be returned (free of charge) through the internal post within each bank. The researchers travelled to each bank to collect the completed survey. The sample was representative for employees in the banking sector, however, not for the total working population. More men (58.5 percent) than women (41.5 percent) participated. About two in three respondents were between 35 and 44 years old or between 45 and 54 years old, while about one in four was between 25 and 34 years old. Only a minority (4 percent) was younger than 24 or older than 55. Most respondents had an education beyond high school (63.9 percent), had partners with an income and children (72.4 percent), and worked full-time (85 percent). There were about as many white-collar workers (54.4 percent) as executives (45.6 percent). Measures Quantitative job insecurity was measured with four items developed by De Witte (2000) on a scale from 1 (strongly disagree) to 4 (strongly agree). Sample items were “I feel insecure about the future of my job”’ and “I am sure that I will be able to keep my job” (reverse coded). Reliability (Cronbach’s alpha) equalled .89. Qualitative job insecurity was measured with ten items from the 17 item measure that was originally proposed by Ashford, Lee, and Bobko (1989). These job features concerned four broad dimensions previously distinguished to describe the various characteristics of a job: job content (autonomy, skill utilization, and specific tasks), working conditions (workload and quality of working conditions), employment conditions (wage, working hours, and opportunities for promotion), and social relations at work (relations with colleagues and supervisors, respectively). Respondents had to indicate whether each of the job features would likely improve or deteriorate in the near future (1 = strongly deteriorate; 5 = strongly improve). We recoded the items so that a high score reflected qualitative job insecurity. Cronbach’s alpha equalled .87. Job satisfaction was measured with one item: “Overall, how satisfied are you with your current job?” (1 = very dissatisfied; 5 = very satisfied). Psychological distress was measured with the 12-item version of the General Health Questionnaire (Goldberg, 1978). A sample item was “Have you recently lost much sleep over worry?” Responses varied from 1 (“less than usual”) to 4 (“much more than usual“). Reliability (Cronbach’s alpha) was .89. Control variables. The following social demographics and work-related factors were included: gender (0 = men; 1 = women), age (1 = 18–24; 2 = 25–34; 3 = 35–44; 4 = 45–54; 5 = 55+), education (0 = no education beyond high school; 1 = education beyond high school), extra income (0 = no partner with extra income; 1 = partner with extra income), children (0 = no children; 1 = children), occupational position (0 = white-collar worker; 1 = executive), working hours (0 = part-time; 1 = full-time). The demographics were used as control variables in data analysis. Instructions for answering the questions Use at least four academic sources in English to answer the questions. The sources can be books or peer reviewed journal articles or a combination of both books and peer reviewed journal articles. The academic sources as well as responding to the questions will be around 2000 words in total. Q1: Sample size The sample size for this study is fifteen thousand employees selected from a total of 69,000 bank employees (about 21% of the employees). Is a sample of this size necessary? Give your reasons. Q2: Sampling method What is the current method of sampling? What are the advantages and disadvantages of the current sampling method? Q3: Measures of variables Give your comments on the reliability and validity of measures of the variables. Q4: Collection of data on social demographics The purpose of this research is to find the associations between quantitative and qualitative job insecurity and well-being. However, data on variables such as gender, age, education level, extra income were also collected. What is the purpose of collecting data on variables such as gender, age, educational level etc.? Q5: Research design What research design is used for current research? What are the positive and negative side of the current research design? References Ashford, S. J., Lee, C., & Bobko, P. (1989). CONTENT, CAUSE, AND CONSEQUENCES OF JOB INSECURITY: A THEORY-BASED MEASURE AND SUBSTANTIVE TEST. Academy of Management Journal, 32(4), 803-829. doi:10.2307/256569 De Witte, H. (2000). Arbeidsethos en jobonzekerheid: meting en gevolgen voor welzijn, tevredenheid en inzet op het werk (Work Ethic and Job Insecurity: Measurement and Consequences for Well-Being, Satisfaction, and Performance at Work). In van groep naar gemeenschap, ed. R. Bouwen, K. De Witte, H. De Witte, and T. Taillieu, 325–350. Leuven: Garant. Goldberg, D. P. (1978). Manual of the General Health Questionnaire. Windsor, UK: NFER-Nelson. De Witte, H., De Cuyper, N., Handaja, Y., Sverke, M., Näswall, K., & Hellgren, J. (2010). Associations between quantitative and qualitative job insecurity and well-being: A test in Belgian banks. International Studies of Management & Organization, 40(1), 40-56. doi:10.2753/IMO0020-8825400103 Page 1 of 3
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Answer To: BUACC XXXXXXXXXXSemester 1, Assignment 1 Associations between Quantitative and Qualitative Job...

Pritam answered on Aug 10 2021
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Question 3:
The consistency or the stability of the measure of a variable may be termed as reliability which could again be categorised from the aspects of consistency over time, across the variables (internal consistency) and across various researchers. If we consider all other variables except the control variables, then we can see none of them show any
kind of trend or consistency over time as all of them are mood based and hence a low test-retest correlation is expected. Cronbach’s alpha is a statistic to measure the internal consistency by the researchers and may be defined as the mean of all possible split-half correlations for a set of items. Since, here in our case all the variables like, quantitative job security, qualitative job security, psychological distress has >0.80 value of Cronbach’s alpha and hence a good internal consistency may be presumed. Along with other measures behavioural measures play an important role from the perspective of an observer. Where it comes the necessity of inter-rater reliability, the third aspect of reliability as mentioned earlier. Here in our case this particular reliability is not quite transparent as it is not mentioned whether the research and the target questions were observed by different observers. Different observers may attain different point of view and the corresponding rating may vary. So, that could be taken into consideration. The range of distress level or the dissatisfaction level may vary from person to person and there should be high correlation between the observer’s rating. Now, coming to the validity part, it may be defined as the extent to which values from a measure the variable they are intended to or in other words one can say that it is a judgement based on different evidences. Since, here the main important focus is the association between measures of quantitative job securities and well beings, hence the content validity is very much reasonable as the measures covers the construct of interest quite extensively. Discriminant validity is the extent to which scores on a measure are not correlated with measures of variables that are intuitively different from a conceptual perspective. It is not quite same in this case since the measures are quite mood based it can be argued in a way that a new measure is not actually measuring the well-being, rather the mood instead.
Question 4:
Basically, the demographic variables that have been considered here are age, sex, education etc. One may presume that the demographic variables have an immense effect in the job satisfaction and also in their well-being. Different researchers have shown (Oswald and Warr, 1997) that women are more satisfied than men in their jobs. Job dissatisfaction can be found among the young professionals who are new to the work. Hence, in our case there must be different measures between the age group of 18-24 age group compared to other and hence the job dissatisfaction can be vividly seen here. Clearly, one can expect the variation between age and sex regarding job satisfaction. Again, the profession may itself an important role when job dissatisfaction is considered among different age and sex. In a study it is shown that younger and old age doctors are more satisfied and the males are prevalent than the females in this sense. Education in the same way could be explained to be highly impactful and variant across different measures. As previously seen that the variance in different job roles play an important role determining the job satisfaction level. Thus, profession which is based on...
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