Research Techniques Primary Research Primary research is what

Research Techniques Primary Research: Primary research is what you conduct your self, it means going to there information. This could include things surveys or focus groups or simply just by helpful to improve context or to start a project/piece of work. However primary takes longer to gather unlike secondary but it gives better results. Secondary research: Secondary research is research that’s already there, its basically gathered information by someone else and uploaded/published so anyone can use that for there advantage, for example like newspapers or magazines, journals, websites. It allows people to research quickly unlike primary. Strengths + Weakness Strength’s – Primary data is reliable way to collect data as your collecting data for your self, also because your analysing the data yourself. Weakness – Research could be limited due to what your researching like limited explanations (or not a lot of evidence). It’s also not time effective. Strengths + Weakness Strengths – There’s many topic area’s, large amounts of data wouldn’t exist without secondary data research. Or documents that are available for the public/researcher Weakness – May be biased of people in power. Documents may lack information due to restrictions. Documents deaerating over time. Qualitative Research: Qualitative research is to gain underlining information like reasons or motives. It provides the setting in the problem, it includes gathering/generating ideas. It also include techniques like depth interviews or group discussions. Quantitative Research: Quantifying data is generalizing data/results to look at population of interests. Also measuring various views or opinions that can help to research further. Normally includes lots of population interests. The main techniques are questionnaires or telephone interviews or on-street. Strengths + Weakness: Strengths - The researcher gains an insider point of view and also finds issues that are missed. Qualitative plays an important role as it can suggest possible relationship or effects (dramatic processes). Weakness - It normally takes a lot of time and cost, it doesn’t really take large data sets. It can be a problem in criticism because of the subjective nature. Strengths + Weakness: Strengths – useful for testing and validating already constructed theories. It can also be statistical analysis, and snice statics are based on the principles of mathematics. Weakness – Quantitative experiments don’t take places in natural settings, in addition they don’t allow people to explain there choices nor the meaning of the questions.