Lesson 3 - Sample Methods, Statistical Analysis and Hypothesis Testing, Approaches to Data Analysis, Statistical Tests and Research Questions, Considerations cales of measurement

Random Sampling

Each member of the population has an equal chance of selection

Convenience Sampling

Selection based on ease of access to participants

Hypothesis Testing

whether there is enough evidence to support a hypothesis

Correlation Coefficient

Measures the strength and direction of a relationship between two variables

Combining Qualitative and Quantitative Data

Integrating numbers with descriptive insights for comprehensive results

Quantitative Data

Numerical data often gathered through surveys

Qualitative Data

Descriptive data collected via interviews or open-ended questions

Creating Research Questions

Focus on clear, specific relationships between variables for testing

Choosing Statistical Tests

Based on the type of data and the research question's requirement

Pilot Testing

Trying out a research instrument on a small group for potential issues

Representative Sample

Ensures findings are valid by reflecting the population accurately

Likert Scale

Measures levels of agreement or frequency in surveys

Interval Scale

Numeric scale with consistent intervals but no true zero