One of the critical issues to note when evaluating the quantitative data that was collected in this research is the fact that most of the accessed data does not provide the actual sample size. On the contrary, much of the collected data is represented as a percentage of the overall population of the workforce in society. As a result of this, it was difficult to establish whether the analysed data was based on a sample that is a true representation of the entire population. Therefore, to increase the trustworthiness and reliability of the data collected, the research depended on data sets from reliable organisations and government institutions that conducted comprehensive research on different aspects of labour in society. In addition, the research relied on data from different countries across Europe, thus creating a platform to establish a level of consistency in the research findings.
在评估本研究中收集的定量数据时需要注意的一个关键问题是，大多数访问的数据都没有提供实际的样本量。相反，所收集的大部分数据以占社会劳动力总人口的百分比表示。因此，很难确定所分析的数据是否基于真实代表整个人口的样本。因此，为了提高所收集数据的可信度和可靠性，研究依赖于可靠组织和政府机构提供的数据集，这些组织和政府机构对社会劳动的不同方面进行了全面研究。此外，该研究依赖于来自欧洲不同的数据，从而建立了一个平台，以确定研究结果的一致性水平。
3.3. Study variables 研究变量
There are different dependent and independent variables that will be considered in this research. To begin with, the level of satisfaction among employees will be one of the critical dependent variables that will be considered in this research. This is as a result of the fact that the level of satisfaction is expected to vary depending on the factor under consideration. On the other hand, the independent variables will mainly include gender, that is, male and female.
本研究将考虑不同的因变量和自变量。首先，员工满意度水平将是本研究考虑的关键因变量之一。这是因为预期满意度水平会因所考虑的因素而异。另一方面，自变量将主要包括性别，即男性和女性。
3.4. Procedure for data collection and analysis 数据收集和分析程序
There are a number of steps that this research will follow to collect and analyse data, and present the research findings. The study will first conduct a review of past literature on the subject to establish a foundation for the research as well as ensure the findings are not but a duplicate of findings from research and studies that have been conducted in the past. Similarly, while collecting the secondary quantitative data, the research will limit itself to data that seek to establish whether there are gender differences in satisfaction levels of employees in organisation, while ignoring data that focus on employee without reference to gender differences. In addition to this, since much of the accessed data does not provide sample sizes, the research will limit its use of advanced statistical tools. However, in cases where such tools are used, the research will dependent on the statistical analysis that has been conducted on the secondary data by the researchers.
本研究将遵循若干步骤收集和分析数据，并展示研究结果。这项研究将首先回顾过去关于该学科的文献，为研究奠定基础，并确保这些发现不是过去研究和研究发现的重复。类似地，在收集二级定量数据时，研究将局限于试图确定组织中员工满意度水平是否存在性别差异的数据，而忽略了关注员工而不考虑性别差异的数据。除此之外，由于所获取的大部分数据没有提供样本量，该研究将限制其使用先进的统计工具。然而，在使用此类工具的情况下，研究将取决于研究人员对二手数据进行的统计分析。
3.5. Methodological limitations 方法上的限制
One of the major limitations that are encountered in this research is the fact that due to the nature of the data that is relied upon for this research, there would be a limited use of advanced statistical tools. Whereas this is the case, the study findings will still maintained a significantly higher level of reliability since the data used to arrive at the findings is from highly regulated sources.
本研究中遇到的主要限制之一是，由于本研究所依赖数据的性质，先进统计工具的使用有限。尽管如此，研究结果仍将保持较高的可靠性水平，因为用于得出研究结果的数据来自高度监管的来源。