Exploring Research Methods: Understanding Data Usage

Exploring Research Methods: Understanding Data Usage
1 / 11
suivant
Slide 1: Diapositive

Cette leçon contient 11 diapositives, avec quiz interactif et diapositives de texte.

Éléments de cette leçon

Exploring Research Methods: Understanding Data Usage

Slide 1 - Diapositive

Learning Objective
At the end of the lesson, you will be able to explain research methods used in articles and evaluate their suitability.

Slide 2 - Diapositive

What do you already know about research methods and data usage?

Slide 3 - Carte mentale

Slide 1: Introduction
Research methods play a crucial role in gathering and interpreting data. They determine the accuracy and reliability of findings.

Slide 4 - Diapositive

Slide 2: Quantitative Research
Quantitative research involves collecting and analysing numerical data. It focuses on statistical analysis to draw conclusions.

Slide 5 - Diapositive

Slide 3: Qualitative Research
Qualitative research focuses on gathering non-numerical data, such as interviews, observations, and case studies. It aims to understand complex phenomena.

Slide 6 - Diapositive

Slide 4: Mixed Methods Research
Mixed methods research combines both quantitative and qualitative approaches. It allows for a comprehensive analysis of a research problem.

Slide 7 - Diapositive

Slide 5: Experimental Research
Experimental research involves manipulating variables to determine cause-and-effect relationships. It often includes controlled experiments.

Slide 8 - Diapositive

Slide 6: Survey Research
Survey research involves collecting data through questionnaires or interviews. It provides insights into opinions, attitudes, and behaviors of a target population.

Slide 9 - Diapositive

Slide 7: Evaluating Research Methods
To evaluate research methods, consider factors such as the research question, sample size, data collection techniques, and validity of findings.

Slide 10 - Diapositive

Slide 8: Conclusion
In conclusion, understanding research methods and their suitability is essential for interpreting and critiquing articles based on data usage.

Slide 11 - Diapositive