Data Types — classification?
Based on origin and nature, e.g., primary/secondary, qualitative/quantitative.
Primary Data — source?
Collected firsthand through surveys, experiments, or observations.
Secondary Data — source?
Gathered from existing sources like journals or databases.
Qualitative Data — description?
Descriptive, capturing qualities or characteristics.
Quantitative Data — description?
Numerical data suitable for statistical analysis.
Subjective Data — nature?
Based on personal opinions and perceptions.
Objective Data — nature?
Measured against external, standardized criteria.
Measurement Levels — hierarchy?
Nominal, ordinal, interval, ratio.
Nominal Scale — role?
Categorizes data without order or quantity.
Ordinal Scale — role?
Ranks data, but intervals are not equal.
Interval Scale — role?
Equal intervals, no true zero.
Ratio Scale — role?
Equal intervals with a true zero point.
Nominal — example?
Gender, religion, language categories.
Ordinal — example?
Star ratings, class rankings.
Interval — example?
Temperature in Celsius, standardized test scores.
Ratio — example?
Height, weight, reaction time.
Data collection — firsthand?
Involves direct gathering of original data.
Data collection — secondhand?
Uses existing data from other sources.
Qualitative — focus?
Descriptive insights, themes, patterns.
Quantitative — focus?
Numerical measurement, statistical analysis.
Subjective — influenced by?
Personal feelings, opinions.
Objective — based on?
External, measurable criteria.
Measurement level — significance?
Determines analysis methods and interpretation.
Nominal — data type?
Categorical, no order or quantity.
Teste tes connaissances avec un QCM de 12 questions sur Understanding Data Types and Measurement.
1. What is a data type in research methodology?
2. Which author is associated with qualitative data collection methods in primary data collection?
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