# How do you collect secondary data from a dissertation?

## How do you collect secondary data from a dissertation?

Step 1: Develop your research question(s) Step 2: Identify a secondary data set. Step 3: Evaluate a secondary data set. Step 4: Prepare and analyse secondary data.

## How do you collect data for a research paper?

Depending on the researcher’s research plan and design, there are several ways data can be collected. The most commonly used methods are: published literature sources, surveys (email and mail), interviews (telephone, face-to-face or focus group), observations, documents and records, and experiments.

## What are five preoccupations of quantitative research?

Quantitative researchers generally have four main preoccupations: they want their research to be measurable, to focus on causation, to be generalisable, and to be replicable.

## How do you classify quantitative data?

Quantitative Data can be divided into two types, namely; Discrete & Continuous Data. Discrete data is a type of data that consists of counting numbers only, and as such cannot be measured. Measurements like weight, length, height are not classified under discrete data.

## What are examples of quantitative observations?

Examples of quantitative observation include age, weight, height, length, population, size and other numerical values while examples of qualitative observation are color, smell, taste, touch or feeling, typology, and shapes.

## What is the difference between qualitative and quantitative data examples?

There exists a fundamental distinction between two types of data: Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.

## What is a quantitative variable?

Quantitative Variables – Variables whose values result from counting or measuring something. Examples: height, weight, time in the 100 yard dash, number of items sold to a shopper. Qualitative Variables – Variables that are not measurement variables. Their values do not result from measuring or counting.

## Is age qualitative or quantitative?

Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status. Qualitative variables are also called categorical variables.

## Is class rank qualitative or quantitative?

Sex and blood type are Qualitative variables, Class rank is quantitative discrete variable (you may also call it ordinal ), Weight is quantitative continuous variable.