This document discusses different types of data, including quantitative data which is numerical and can be discrete or continuous, and qualitative data which is categorical and can be nominal or ordinal. It notes that quantitative data focuses on testing theories through statistical analysis while qualitative data explores ideas through summarization. The document also outlines primary data sources like experiments, surveys, interviews and focus groups, and secondary data sources from published scientific and less scientific works. Finally, it lists several databases for finding published data, including Scopus, PubMed and Google Scholar.

1. DATA

2. KIND OF DATA
Quantitative data (numerical data):
I. Discrete.
II. Continuous.
Qualitative data (categorical data):
I. Nominal (named categories).
II. Ordinal (categories with an order).

3. QUANTITATIVE DATA VS QUALITATIVE DATA
• Focuses on testing theories and
hypotheses.
• Analyzed through math and
statistical analysis.
• Mainly expressed in numbers, graphs
and tables.
• Requires many respondents.
• Closed (multiple choice) questions.
• Focuses on exploring ideas and
formulating a theory or hypothesis.
• Analyzed by summarizing,
categorizing and interpreting.
• Mainly expressed in words.
• Requires few respondents.
• Open-ended questions.

4. TYPES & SOURCE OF DATA
Primary data:
I. Quantitative: Experiment, Observation, and Survey….
II. Qualitative: Interview and focus groups….
Secondary data:
Previously published data,
I. Scientific: journals, scientific paper, and thesis….
(Databases)
II. Less scientific: magazine, news paper, and books….

5. DATABASES
EKB Scopus & WOS
PubMed.
Cochrane.
Wiley.
Google Scholar.
Global health library (GHL).
System for Information on Grey Literature (SIGL).
virtual health library (VHL).