DATA COLLECTION AND ANALYSIS

Undergraduate and graduate students beginning or strengthening their training in scientific research methods.

Researchers, analysts, and professionals in fields such as social sciences, education, public health, business, and communication who work with qualitative and quantitative data.

Individuals preparing theses, dissertations, or applied research projects who need to improve their data collection and analysis skills.

Professionals involved in evidence-based decision-making, program evaluation, or market and social research.

Data Collection Competencies

• Identify the most appropriate data collection techniques according to the research objectives.

• Understand different types of interviews and select suitable participants based on research criteria.

• Conduct interviews ethically and effectively, applying best practices in communication and inquiry.

Qualitative Data Analysis Skills

• Describe and apply the stages of qualitative data analysis, including coding, categorization, and interpretation.

• Extract meaningful patterns and insights from textual or observational data.

• Integrate qualitative findings coherently into broader research objectives.

Quantitative Data Analysis Skills

• Classify, organize, and structure data properly for statistical analysis.

• Calculate and interpret measures of central tendency (mean, median, mode).

• Calculate and interpret measures of dispersion (range, variance, standard deviation).

• Build basic statistical blocks and summaries that support sound quantitative conclusions.

Study Plan

1. DATA COLLECTION FOR RESEARCH

• Introduction

• Techniques for identifying data

• Interview types

• Selecting interview participants

• Conducting the interview

2. QUALITATIVE DATA ANALYSIS

• Stages of qualitative data analysis

3. QUANTITATIVE DATA ANALYSIS

• Data: classification, organization, and construction of statistical blocks

• Measures of central tendency

• Dispersion