This module explores the principles and procedures of randomisation in scientific research, focusing on how random assignment enhances causal inference and research validity. Learners will examine various randomisation techniques, including stratification, blocking, and minimisation, and understand their application in experimental design. The module also addresses challenges such as baseline imbalances and sample size considerations.

This module explores the key threats to internal and external validity in experimental research, including issues such as selection bias, maturation, instrumentation, and treatment spillover. Learners will discover strategies to enhance the reliability and generalizability of study findings, and examine real-world examples illustrating these challenges. By the end, participants will be equipped to critically assess and mitigate validity threats in research design.

This module introduces key experimental design types, including pre-experimental, true experimental, and quasi-experimental approaches, and examines their impact on internal and external validity. Learners will explore common statistical tests, real-world case studies, and advanced techniques like propensity score matching to address validity threats in research. Practical examples from criminal justice and online safety contexts illustrate how these designs are applied in practice.

This module guides learners through the essential steps of planning, conducting, and reporting experimental research, with a focus on quality control, ethical considerations, and effective protocol development. Learners will explore the roles of field managers and pracademics, understand the importance of informed consent, and learn how to synthesize evidence using meta-analyses. By the end, participants will be equipped to ensure transparency, reliability, and ethical integrity in experimental designs.

This module reviews the significance of randomisation in causal research, emphasizing the strengths and limitations of experimental designs such as randomized controlled trials (RCTs). Learners will explore threats to validity, the importance of choosing appropriate experimental methods, and ongoing debates about the use of experiments in policy evaluation.