The implementation of Performance Management and its effect on employee productivity at SASSA in Cape Town.

Clearance Certificate No | 2018FBREC507 DATA COLLECTION It is important to distinguish between two types of sources: principal data and supplementary data. Supplementary data refers to data presented in the published literature, while principal data refers to data obtained from the original source (Hanekom, 1998: 28). Primary data collection is considered necessary when the investigator perceives that there is inadequate or usable information released on the subject under investigation. This analysis used primary data including an annual performance plan and departmental annual reports, along with statistics on performance management, moderating committee minutes, and memorandums, as well as weekly and yearly reports for the period from April 2016 to March 2019. As SASSA records are scrutinized to understand how challenges related to PMDS activities are handled, this method is referred to as a textual/documentary study. It was crucial that any information gathered during this research process helped to answer the research question, namely: What are the problems faced at its Western Cape regional office within SASSA's PMDS? This depends to performance of the evidence on which it is based. This suggests that an outstanding research design and a representative sample are not adequate to guarantee a valid outcome if the analysis is based on unreliable data. It is important to ensure that the data obtained is adequately accurate in order for the analysis and findings to be reliable. The data collection method applied in this study involves the distribution of structured questionnaires. Throughout the information collection process, the investigator sought to reduce faults and prejudice by ensuring that the study sample was representative and that the respondents' opinions were not affected by the researcher. The information collection method used is discussed in detail below (Bless, Higson & Kagee, 2006:97).合格证书编号 | 2018FBREC507 数据采集 需明确区分两类数据源：原始数据（principal data）与补充数据（supplementary data）。补充数据指已发表文献中刊载的数据集，而原始数据则取自原始来源（Hanekom, 1998:28）。当研究者认定当前研究主题的公开信息存在不足或可用性欠佳时，需开展原始数据采集工作。 本分析采用的原始数据覆盖2016年4月至2019年3月期间的年度绩效计划、部门年度报告、绩效管理统计数据、协调委员会会议纪要、备忘录，以及周度与年度报告。 鉴于本研究通过审查SASSA档案以厘清PMDS相关活动的挑战应对方式，该研究方法被归类为文本/文献研究法。本研究采集的所有信息需切实助力解答核心研究问题，即：SASSA西开普省区域办公室在其PMDS体系中面临哪些问题？研究结论的可靠性取决于其所依托的证据质量。这表明，若分析基于不可靠的数据，即便采用了精良的研究设计与具有代表性的样本，也无法保证研究结果具备有效性。 为确保分析结果与研究发现具备可靠性，需保证所采集的数据具备足够的精准度。本研究采用的数据采集方式为发放结构化调查问卷。 在整个信息采集过程中，研究者通过确保研究样本具备代表性、避免研究者自身对受访者观点产生干扰，以尽可能降低误差与偏见。本研究采用的信息采集方法将在下文详细阐述（Bless, Higson & Kagee, 2006:97）。