Lecture 4.ppt - Quantitative Approach Data in numerical form Data that can be precisely measured age cost length height area volume weight speed time

# Lecture 4.ppt - Quantitative Approach Data in numerical...

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1 Quantitative Approach Data in numerical form Data that can be precisely measured age, cost, length, height, area, volume, weight, speed, time, and temperature Harder to develop Easier to analyze 06/03/20
2 Qualitative Approach Data that deal with description Data that can be observed or self-reported, but not always precisely measured Less structured, easier to develop Can provide “rich data” — detailed and widely applicable Is challenging to analyze Is labour intensive to collect Usually generates longer reports 06/03/20
3 Which Data? - do not need to quantify the results - are not sure what you are able to measure Qualitati ve - want narrative or in-depth information - want to cover a large group - want to be precise - know what you want to measure Quantitati ve - want to conduct statistical analysis Then Use: If you: 06/03/20
4 Three Major Techniques for Collecting Data: 1. Questionnaires 2. Interviews 3. Observation 06/03/20
5 Using these data gathering methods Each method has advantages and problems. No single method can fully measure the variable important to the researcher Examples: Questionnaires and surveys are open to self- report biases, such as respondents’ tendency to give socially desirable answers rather than honest opinions. Observations are susceptible to observer biases, such as seeing what one wants to see rather than what is actually there. 06/03/20
6 Use more than one Because of the biases inherent in any data- collection method, it is best to use more than one method when collecting diagnostic data. The data from the different methods can be compared, and if consistent, it is likely the variables are being validly measured .

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