The stage of data collection is known as a crucial phase of the overall paradigm of research work. Effective measures of data collection help the researcher to align the available information to the overall evolution of the research objectives. The feature of the data collection methods can be characterized by two aspects of qualitative and quantitative means. It is immensely crucial for the researcher to adopt a suitable data collection method to avoid the feature of biasedness in the research study.
There are some methods which can be used by the researchers for data collection. All these methods of data collection are categorized into primary and secondary methods. The feature of the primary data collection method can be observed in the form of quantitative and qualitative data. The particular technique of quantitative data collection comes up with the consideration of mathematical calculations to assess response 1. On the other hand, the technique of qualitative data collection is used to make inferences about the characteristics or attributes. The secondary data collection method is known as the method which considers the information which firstly published in different books, newspapers, journals, etc. The researcher utilizes these sources to attain the desired information by referring to specific research questions.
Proper measurement of variables also plays a crucial role in attaining error-free research outcomes. When it comes to the measurement of the variables, it is necessary to understand that it is impossible to measure all the variables on one specific level. The measurement of variables depends on the specific consideration of the variables. Nominal, ordinal, interval and ratio are known as the commonly used levels of measurement of variables. It is crucial for the researcher to adopt a particular level of measurement according to the requirement of the application of the variable.