0
Still curious? Ask our experts.
Chat with our AI personalities
Judy
Blake
JordanAdd your answer:
Earn +20 pts
Which type of data is more reliable qualititive or quantitive?
I can't tell you which one is most reliable because data (or information) can be collected in so many different situations to answer different questions. If I am conducting a very scientific experiment, for example I want to know if a type of tomato grows better in an acid soil, then I need to collect and analyze quantitative data.But in many fields, both types of data are needed. Sociology and psychology studies use qualitative data. For example, I want to know if people who have lived in hot climates for long periods of time, are more comfortable with heat and humidity. So I ask people if they are feeling uncomfortable (qualitative data), how long they have lived in a hot climate (quantitative data) , and also recorded the heat and humidity (quantitative data).- See related link. From the third link, the author opines:"What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description."
Why is there a need to analyze data?
There is no point in collecting data simply for the sake of collecting data. You need to analyse it: summarise it and use key information from it to make some assessments about the data.
Is quantitative data always accurate?
Quantitative Data is only as good as the following: 1)The accuracy of the tools or machines used to measure whatever it is that is obtaining the data. For example, one of the reasons that the calipers to measure bolts for spacecrafts cost the huge amounts we all laugh about is not a laughing matter. The required precision is so high it is not the same as the precision that one might need for a school project! 2) Human error. Somebody is doing the measurements or adding reagents if it is an experiment, and so on. For example, someone came to my home to test the water. They had a type of device that could measure how much color was caused by a reagent added to water. Sounds good right? Not so right. The people did not know how to add water correctly to a test tube so that the correct amount of water mixed with the correct amount of reagent! 3) Computer error. Don't think it does not happen! Despite the drawbacks, overall quantitative data is generally BETTER than qualitative, but it is not perfect. Remeber Apollo 13!
Where do you need ranked data?
result publication
Is quantitative always accurate?
Quantitative Data is only as good as the following: 1)The accuracy of the tools or machines used to measure whatever it is that is obtaining the data. For example, one of the reasons that the calipers to measure bolts for spacecrafts cost the huge amounts we all laugh about is not a laughing matter. The required precision is so high it is not the same as the precision that one might need for a school project! 2) Human error. Somebody is doing the measurements or adding reagents if it is an experiment, and so on. For example, someone came to my home to test the water. They had a type of device that could measure how much color was caused by a reagent added to water. Sounds good right? Not so right. The people did not know how to add water correctly to a test tube so that the correct amount of water mixed with the correct amount of reagent! 3) Computer error. Don't think it does not happen! Despite the drawbacks, overall quantitative data is generally BETTER than qualitative, but it is not perfect. Remeber Apollo 13!
