Introduction to Data Management
How will you interpret the data in this data? What conclusion can you derive?
Introduction
To have successful research, a researcher needs to consider the following
information.
Data gathered can either be quantitative or qualitative data. Qualitative data are
categorical data, which take the form of categories or attributes such as sex, course,
year level, race, religion, etc. On the other hand, quantitative data or numerical
data are obtained from measurements like heights, weights, ages, scores,
temperatures, IQ, and other measurable quantities.
Qualitative data can be converted to quantitative data through a process called
measurements. By measurements, numbers are utilized to code objects so that they
can be treated statistically. There are four types of measurements.
Levels of Measurements/Measurement Scales:
1.) Nominal Measurements - are used only for identification or classification purposes.
It is the weakest form of measurement because no attempt can be made to account for
How will you interpret the data in this data? What conclusion can you derive?
Introduction
To have successful research, a researcher needs to consider the following
information.
Data gathered can either be quantitative or qualitative data. Qualitative data are
categorical data, which take the form of categories or attributes such as sex, course,
year level, race, religion, etc. On the other hand, quantitative data or numerical
data are obtained from measurements like heights, weights, ages, scores,
temperatures, IQ, and other measurable quantities.
Qualitative data can be converted to quantitative data through a process called
measurements. By measurements, numbers are utilized to code objects so that they
can be treated statistically. There are four types of measurements.
Levels of Measurements/Measurement Scales:
1.) Nominal Measurements - are used only for identification or classification purposes.
It is the weakest form of measurement because no attempt can be made to account for
