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IN THE MATTER OF PART 3 OF THE LEGAL PROFESSION ACT, RSA 2000, c. L8 AND IN THE MATTER OF A HEARING REGARDING THE CONDUCT OF ALLAN GARBER A MEMBER OF THE LAW SOCIETY OF ALBERTA [Editors note: additional
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How to fill out experimental and quasi-experimental designs

01
Define the research problem and hypothesis.
02
Identify the variables and determine the level of measurement for each.
03
Choose the appropriate design (experimental or quasi-experimental) based on the research question and available resources.
04
Select the participants or subjects for the study.
05
Randomly assign participants to different groups (experimental and control) to minimize bias.
06
Implement the treatment or intervention for the experimental group while keeping the control group unchanged.
07
Collect data using valid and reliable measurement instruments.
08
Analyze the data using appropriate statistical techniques to test the hypothesis.

Who needs experimental and quasi-experimental designs?

01
Researchers conducting studies to examine cause-and-effect relationships between variables.
02
Policy makers and program evaluators interested in understanding the impact of interventions or programs.
03
Educators looking to assess the effectiveness of teaching methods or interventions.
04
Healthcare professionals exploring the efficacy of treatments or interventions.
05
Social scientists investigating the effects of social policies or programs.
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Experimental designs involve the manipulation of variables to establish cause-and-effect relationships, typically with random assignment of subjects. Quasi-experimental designs are similar but lack random assignment, making them suitable for situations where controlled experiments are not feasible.
Researchers and organizations conducting studies that utilize these designs are generally required to file them, especially when seeking funding or publication in academic journals.
To fill out these designs, researchers must clearly define the hypothesis, describe the methodology, include sampling methods, outline data collection processes, and provide an analysis plan.
The purpose is to establish causal relationships between variables and to evaluate the effectiveness of interventions or treatments.
Researchers must report the research question, hypothesis, methodological details, sample size, data collection methods, results, and conclusions.
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