This paper circulates around the core theme of Q1: Research design This particular study used a cross-sectional design. What are the advantages and disadvantages of using a cross-sectional design in this research? together with its essential aspects. It has been reviewed and purchased by the majority of students thus, this paper is rated 4.8 out of 5 points by the students. In addition to this, the price of this paper commences from £ 96. To get this paper written from the scratch, order this assignment now. 100% confidential, 100% plagiarism-free.
Case study Job characteristics are believed to have an impact on stress and well-being at work (Karasek & Theorell, 1990). The demands of the job on the one hand and the extent to which you have control over your own activities (decision latitude) on the other, are two factors which together define how stressful a job is. Those jobs which are high demand, but offer limited control, are considered to be high-strain and carry an increased risk of job dissatisfaction, stress and burnout.
Based on this theoretical framework, the Union of Belgian Banks sent out a research call to several institutions, with a bidding process based on criteria such as quality of the proposal, timing, and – above all – budget. The aim of the research was to carry out quantitative research to investigate the relationship between job characteristics and job satisfaction in all Belgian banks at individual level. But in order to do this effectively, several methodological issues needed to be resolved during the research process.
First of all, a research consortium was selected to conduct the research, or more precisely, the two highest ranked bidders were asked to jointly undertake the research. The two competing research institutes, a private company specialising in stress at work and the Katholieke Universiteit Leuven (Belgium), were required to co-operate and develop a level of trust in order to conduct the research. For example, both research institutes had different ideas as to which scale should be used in the questionnaire. They could not just combine the scales or include both scales, simply because they are supposed to measure the same concept. Furthermore, this would also make the questionnaire too complex. Therefore, the research institutes had to combine their knowledge, look for compromises and jointly work on a shared vision, which is, to say the least, rather time consuming.
A second obstacle that needed to be overcome was the sample (see Chapter 7). In total, 69,000 employees work for Belgian banks and it was decided that questioning all employees would be too complicated and too expensive. Therefore the research committee, consisting of representatives of the banks, the unions and the research consortium, opted for a cross-sectional design (p. 45) with a fixed sample of 15,000 employees (roughly 21%; see p. 187 ‘Absolute and relative sample size’).
In this sample, the small banks were over-represented. Within each bank, the respondents were selected at random with no particular quota for gender, age or employee level. In the postal survey (see p.231 ‘Self-completion questionnaire or postal questionnaire’) several steps were taken to improve the response rate (see p. 234 ‘Steps to improve response rates to postal questionnaire’; see also suggestions by Dillman, 1983). The survey was based on addresses which had been provided by the banks (name, language, address) and each employee randomly selected in the sample 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.
There are various logistical problems. The researchers had to travel to each bank to collect the completed questionnaires and due to the fact that in Belgium, part of the population speak Flemish (Dutch) and part speak French, two versions of the questionnaire needed to be available and then carefully translated and tested for the accuracy of their translation (see also Tips and skills, p.488: ‘Translating interview data’). The questionnaires were sent to the respondents’ home addresses, a French version if the respondent lived in the French part of Belgium, a Flemish version when living in Flanders. This prompted a series of angry calls when Flemish people, living in the French part, or vice versa, received a questionnaire that was not in their native language. Furthermore, Brussels is officially bi-lingual and, to complicate matters even more, contains many headquarters in which the main language spoken is ... English! In order to minimise attrition, it was important that these respondents received a questionnaire in their preferred language. Another logistical issue was the co-ordination and control of the distributed information. The Belgian banks, who were the research financers, chose a decentralised way of working, hence organizing a ‘sensibilization campaign’ within each bank whereby the researchers had to visit all the banks to explain the theoretical framework and the outline of the research to representatives of both employers and employees.
Additional initiatives to prompt a higher response rate were taken up by individual banks, or, more precisely, by some of the banks. The researchers were required to carefully follow-up on those initiatives implemented by the banks, to ensure that these initiatives remained both neutral and valid for the research. Some of these initiatives proved difficult to deal with due to the selective use of information that had been employed (e.g. letters forcing the employees to participate; or union campaigns to guide certain answers). Hence, the researchers had to be sensitive for the respective organisational cultures, while making sure they kept a neutral position towards all partners involved in the research.
Once the data collection was completed (response rate of 47.6%), the data handling needed much attention. A comprehensive check and double-check was conducted on wrong entries, filters, missing cells ... just to increase the reliability. One issue was the major difference in response rate between the banks. Due to a strong campaign, some banks reached a response rate of over 60%, whilst others barely reached 20% because they did nothing to increase the response rate.
Instructions for answering the questions
Use at least four academic sources in English (a minimum of three must be peer reviewed journal articles and the fourth may be another journal article, a text book or a report published by the relevant government bodies) to support your answers of the questions. The analysis of the case study will include around 2000 words in total. This includes utilised academic sources as well as responding to the questions.
Q1: Research design
This particular study used a cross-sectional design. What are the advantages and disadvantages of using a cross-sectional design in this research? Suppose they were to extend this study to become a longitudinal design, what are some of the issues that should be addressed?
Q2: Self-completed questionnaire
In this study a Self-completed questionnaire was created and send out to the respondents. Discuss some of the problems and limitations of Self-completed questionnaires that would have to be addressed in this study
Q3: Secondary data
In any quantitative study we want to believe that the sample selected is a representative sample of the true population. One of the methods to check representativeness is to use Secondary Data. What secondary dataset can be used to check the representativeness of the sample and how can it be used?
Q4: Sample size
The sample size for this study is fifteen thousand employees selected from a total of sixty-nine thousand bank employees (about 21% of the employees). What factors should be considered in decision on sample size? Discuss the advantages and disadvantages of having a sample of this size.
Q5: Sampling method
To find the relationship between job characteristics and job satisfaction at employee individual level, this study randomly selected from employees from each of the banks. What are the advantages and disadvantages of the current sampling method? What are your suggestions to improve the sampling methods?