Unit 5: Quantitative Research

Conducting Self-report Research

Definition and purpose of self-report research.

Methods for collecting self-report data (e.g., surveys, questionnaires).

Considerations for designing and administering self-report measures.

Observational Research

Definition and purpose of observational research.

Different types of observational research (e.g., naturalistic observation, controlled observation).

Ensuring reliability and validity in observational research.

Correlational Research

Definition and purpose of correlational research.

Examining the relationship between variables using correlation coefficients.

Understanding the limitations and cautions of correlational research.

Definition and Purpose

Defining quantitative research and its purpose.

Exploring the characteristics of quantitative research.

Highlighting the importance of objectivity and replicability in quantitative research.

Relationship Studies

Investigating the relationship between variables in quantitative research.

Exploring different research designs to study relationships (e.g., cross-sectional, longitudinal).

Interpreting correlation coefficients and determining the strength and direction of relationships.

Prediction Studies

Using quantitative research to make predictions or forecasts.

Applying statistical models and techniques to predict outcomes.

Understanding the limitations and challenges of prediction studies.

Data Analysis

Introduction to data analysis in quantitative research.

Exploring different statistical analysis techniques (e.g., t-tests, ANOVA, regression).

Ensuring data integrity, accuracy, and reliability in the analysis process.

Descriptive Statistics and Inferential Statistics

Differentiating between descriptive and inferential statistics.

Understanding the purpose and application of descriptive statistics (e.g., mean, median, standard deviation).

Exploring the role of inferential statistics in hypothesis testing and generalization.