The process of collecting and analyzing numerical data

To find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations

Study design: The researcher chooses an experiment / non-experimental research design

Participants: The researcher selects numerous participants that are representation of a group

Instrumentation: The researcher gather numeric data using instruments quantitative research

Can be descriptive and inferential, which is summarizing data, whereas inferential statistics are used to identify statistically significance difference between group of data. Statistical help to turn quantitative data into useful information.

The information about the specific article

Tells the background on the topic of study

State the problems that occur on the topic of study

State what the objectives are to be done for the study

State what significance will be gained in conducting the study

Provide definitions according to the terms in the study

The researcher compare results to predictions and past studies quantitative research

Large sample sizes are need for more accurate analysis

Small scale may be less reliable because of the low quantity of data, confirmation data bias, and the research might miss observing phenomena because of focus on theory or hypotheses

Numerical data: Surveys, polls, questionnaires