Quantitative Data

Descriptive Statistics

involves summarizing the data using measurements. Using mean, median, mode, standard deviation, and percentages

Inferential Statistics

to make predictions on the population based on the sample. There is a test of hypothesis, regression of analysis, analysis of variance or ANOVA, Chi square test

Data Visualization

visually represented thru charts, graphs, histograph, scattered graph to show relationships

Multivariate Analysis

- when analyzing multiple variables simultaneously.

Time Series

Data collection over time. Identify the trends, patterns and seasons.

Quantitative Data Consists of:

Descriptive Statistics
Inferential Statistics
Data Visualization
Multivariate Analysis
Time Series

Qualitative Data Consist of:

Thematic Analysis
Content Analysis
Narrative Analysis
Grounded Analysis
Case-Study Analysis

Thematic Analysis

identify code and recurring themes or patterns within qualitative data. Derive a meaningful insight on the responses.

Content Analysis

Analyzing documents, interviews or media.

Narrative Analysis

Stories, experiences, perspective.

Narrative Analysis

Stories, experiences, perspectives.

Grounded Analysis -

generate theories, concepts, framework.

Case-study Analysis

Depth examination of one or few cases to gain a deep understanding about a specific phenomenon