Why do positivists generally prefer quantitative data?

Positivists value objectivity, reliability, and the ability to generalize findings. Quantitative data provides standardized measurements that can be replicated and statistically verified.

What is the fundamental difference between primary and secondary data?

Primary data is collected first-hand by the researcher for their specific study, while secondary data is pre-existing information collected by others for a different purpose.

How do discrete and continuous data differ within the quantitative category?

Discrete data consists of countable, distinct values (usually integers), whereas continuous data represents measurements that can take any value within an interval and are infinitely divisible.

What is the difference between nominal and ordinal qualitative data?

Nominal data consists of categories with no inherent order (e.g., eye color), while ordinal data involves categories that have a logical rank or sequence (e.g., 'satisfied' vs 'unsatisfied').

Why is it a mistake to calculate the average of a set of zip codes?

Zip codes are numerical labels (nominal data) rather than true quantities. Calculating an average is meaningless because the numbers represent locations, not measurable amounts.

What error occurs when a researcher treats a 5-point Likert scale as continuous data?

Likert scales are ordinal; the 'distance' between 'Agree' and 'Strongly Agree' may not be mathematically equal to the distance between 'Neutral' and 'Agree', making continuous statistical tests potentially inaccurate.

What is a common pitfall when using secondary data from the internet?

The researcher may not know the original context, methodology, or biases of the data collection, which can lead to 'garbage in, garbage out' results if the data is unreliable.

Define 'Quantitative Data'.

Quantitative data is information that can be measured or counted and expressed numerically, allowing for statistical analysis and the creation of charts or graphs.

Define 'Qualitative Data'.

Qualitative data is non-numerical information, such as text, video, or audio, that describes qualities or characteristics and is used to gain deep insight into meanings.

What is 'Ratio Data'?

Ratio data is a type of quantitative data that has all the properties of interval data but also includes a 'true zero' point, meaning that zero represents the total absence of the variable (e.g., weight).

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Types of Data

Summary

Data classification is the process of organizing information into categories based on its source, nature, and level of measurement. Understanding these types is essential for selecting appropriate research methods, statistical tests, and visualization techniques.

1. Definition & Core Concepts

Data refers to the raw facts, figures, or information collected for analysis and interpretation to understand social or physical phenomena.

Classification typically occurs along two primary axes: the source of the data (who collected it) and the nature of the data (what form it takes).

Properly identifying data types ensures that the researcher applies the correct mathematical operations and avoids logical errors during the interpretation phase.

Hierarchy diagram showing data classified by source (Primary/Secondary) and nature (Qualitative/Quantitative).

2. Classification by Source: Primary vs. Secondary

Primary Data: This is 'first-hand' information collected directly by the researcher for a specific purpose. It allows for high control over data quality and relevance but is often resource-intensive to gather.
Secondary Data: This is 'second-hand' information that already exists, having been collected by someone else (e.g., government agencies or previous researchers). It is cost-effective and allows for historical comparisons but may not perfectly align with the current research goals.

3. Classification by Nature: Qualitative vs. Quantitative

Quantitative Data: Information expressed in numerical form, such as counts or measurements. It is used to identify patterns, calculate averages, and perform statistical testing to generalize findings to a larger population.
Qualitative Data: Information expressed in non-numerical forms, such as words, images, or descriptions. It focuses on depth, meaning, and context, providing a rich understanding of human experiences and social interactions.

4. Quantitative Subtypes: Discrete vs. Continuous

5. Key Distinctions

6. Exam Strategy & Tips