Design experiments with hypotheses, controls, randomization, sample size, standardized procedures, instrument validation, and statistical analysis to obtain reliable and valid results.
Some of the key principles are: Randomization, control groups, replication, blinding, variables, absence of bias, sample size, and the choice of statistical analysis to obtain valid and reliable results.
The design should be based on the objectives of the experiment, hypothesis, variables, population, resources, and feasibility, and the design could be experimental, quasi-experimental, or observational to obtain high validity and reliability outcomes.
Professional advice helps in optimizing sample sizes using power analysis, selecting correct effect sizes, reducing bias, and increasing statistical power in achieving valid and reliable results in the study.
Avoid small sample sizes, poor randomization, absence of controls, bias in measures, unclear variables, poor documentation, and improper statistical analysis in achieving valid and reliable results in the experiment.
Expert advice helps in achieving better results in the experiment using correct statistical analysis, reducing bias, increasing accuracy in analysis, and preparing a report in a structured and understandable manner.
