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TYPES OF DATA AND RESEARCH 
PRIMARY RESEARCH: is data you find yourself which makes it original you can use questionnaires, 
interviews and focus groups to gather this information. 
SECONDARY RESEARCH: research using information already gathered by other people or 
organisations often available in books, the internet and magazines. 
PRIMARY RESEARCH 
PROS CONS 
ENABLES YOU TO ASK SPECIFIC QUESTIONS AND 
GATHER SPECIFIC ANSWERS 
TIME CONSUMING 
CAN FOCUS ON BOTH QUALITATIVE AND 
QUANTITATIVE ISSUES 
MAY NOT GET THE CORRECT ANSWERS 
SECONDARY RESEARCH 
PROS 
CONS 
EASY TO ACCESS MIGHT NOT HAVE ALL THE INFORMATION NEEDED 
COULD BE CHEAP INFORMATION MIGHT NOT BE IN DATE 
QUALITATIVE DATA: to observe, record and interpret non-verbal communication (i.e., body 
language, voice intonation) as part of a respondent’s feedback, which is valuable during interviews 
or discussions, and during analysis. 
QUANTATIVE DATA: data that can be measured, it’s about quantities (how many there are) . 
QUALITATIVE DATA 
PROS CONS 
CHEAP HARD TO IDENTIFY 
HAVE TO INTERVIEW A LOT OF PEOPLE BIASED ANSWERS 
QUANTATIVE DATA 
PROS CONS 
RELIABLE ANSWERS COULD BE EXPENSIVE 
EASY TO COLLECT ANSWERS LIMITED SEARCHES

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Types of data and research - VEL

  • 1. TYPES OF DATA AND RESEARCH PRIMARY RESEARCH: is data you find yourself which makes it original you can use questionnaires, interviews and focus groups to gather this information. SECONDARY RESEARCH: research using information already gathered by other people or organisations often available in books, the internet and magazines. PRIMARY RESEARCH PROS CONS ENABLES YOU TO ASK SPECIFIC QUESTIONS AND GATHER SPECIFIC ANSWERS TIME CONSUMING CAN FOCUS ON BOTH QUALITATIVE AND QUANTITATIVE ISSUES MAY NOT GET THE CORRECT ANSWERS SECONDARY RESEARCH PROS CONS EASY TO ACCESS MIGHT NOT HAVE ALL THE INFORMATION NEEDED COULD BE CHEAP INFORMATION MIGHT NOT BE IN DATE QUALITATIVE DATA: to observe, record and interpret non-verbal communication (i.e., body language, voice intonation) as part of a respondent’s feedback, which is valuable during interviews or discussions, and during analysis. QUANTATIVE DATA: data that can be measured, it’s about quantities (how many there are) . QUALITATIVE DATA PROS CONS CHEAP HARD TO IDENTIFY HAVE TO INTERVIEW A LOT OF PEOPLE BIASED ANSWERS QUANTATIVE DATA PROS CONS RELIABLE ANSWERS COULD BE EXPENSIVE EASY TO COLLECT ANSWERS LIMITED SEARCHES