What is Data Collection ?
Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes
Data collection is essential element and component in research process in all fields
The goal for all data collection is to capture quality evidence that then translates to rich data analysis and
allows the building of a convincing and credible answer to questions that have been proposed or which will be the base of the upcoming steps of research
Data collection is one of the most important stages in conducting research, this process is critical and important to maintain the integrity of research.
The selection of appropriate data collection instruments and methods is important, because it’s considered the first step in designing your research
Requirements of data collection:
Data collection is a very demanding job which needs planning, hard work, patience, perseverance and more to be able to complete the task successfully.
Data collection starts with determining what kind of data required followed by the selection of a sample from a certain population.
After that, you need to use a certain instrument to collect the data from the selected sample
Types of data:
Qualitative data are mostly non-numerical and usually descriptive or nominal in
Deals with quality, so that they are descriptive rather than numerical in nature, unlike quantitative data, they are generally not measurable
Qualitative data tend to use unstructured methods of data collection to fully explore the topic
Qualitative data collection methods play an important role in evaluation by providing
information useful to understand the processes behind observed results
Quantitative data is numerical in nature and can be mathematically computed.
Quantitative data measure uses different scales, which can be classified as nominal scale, ordinal scale, interval scale and ratio scale
The use of statistics to generate and subsequently analyze this type of data add credence or credibility to it, so that quantitative data is overall seen as more reliable and objective
They produce results that are easy to summarize
Experiments and clinical trials
Administering surveys with closed-ended questions
Observing and recording well-defined events (related to numbers)
Data are analysed through numerical comparisons and statical references
Questionnaires and surveys
Sometimes researchers use Mixed Methods: Mixed methods approach as design, combining both qualitative and quantitative research data, techniques and methods for better results
The data can be classified also into primary and secondary data:
Primary sources: these resources are records of events or evidence as they are first described
Secondary sources: these sources offer an analysis of primary sources, they often try to explain the primary sources
For more information:
Data collection and types of data
Data error and analysis