research

Quantitative Research

-gathers data in a numerical form which can be put into categories, or in rank, order, or measured in units of measurement

-graphs and table of raw data

-establish general laws of behavior and phenomenon results across different settings/context. → apply to the target population

Population → all

Sample → specific group

METHODS

EXPERIMENTS

-limit the possible ways in which a research participant can react to and express appropriate social behavior

CONTROLLED OBSERVATION/QUESTIONNAIRE

- a rating or a closed question produce numerical data

DATA ANALYSIS

-Statistics summarize our data, describing patterns, relationship and connection

-descriptive and inferential

descriptive → summarize our data

Inferential → used to identify statistically. difference between groups of data

Statistical Analysis of Data

a. Pearson's r -measurement of relationship between 2 variables

b. T-test - Statistical differences between means

c. ANOVA (analysis of variance) - used to compare the means of two or more groups

d.Multiple Regression - relationship between multiple independent variable and one dependent variable

GOAL

-test hypothesis, explore casual relationship, make predictions & generalized findings within a population

-Uses larger sample

- Quantitative research is often said to exhibit a lower level of subjectivity and a higher rise of generalization. Generalization refers in the extent to which the feelings not only represent the samples

KEY FEATURES

•Quantitative researchers try to control extraneous variables by conducting their studies in the lab

•The research aims for objectivity (i.e., without bias), and is separated from the data.

•The design of the study is determined before it begins.

•For the quantitative researcher reality is objective and exists separately to the researcher, and is capable of being seen by anyone.

•Research is used to test a theory and ultimately support or reject it