Karteikarten: Understanding Data Types and Measurement — 24 Karten

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.