PPT-Experimental Design Section 1.3

Designing a Statistical Study Identify the variables of interest the focus and the population of the study Develop a detailed plan for collecting data Make sure sample is part of the population. Part II: Cross-sectional and Quasi-Experimental Designs. Frankfort-. Nachmias. & . Nachmias. (Chapter 6 – Cross-Sectional and Quasi-Experimental Designs). Gerring. (Chapter 8). Campbell and Stanley, “Experimental and Quasi-Experimental Designs for Research.” (remainder). . design. Experimental. . design. Outlines. . What is an . experiment?. Controlling the experiment. Design . categories (Experimental, Quasi-experimental and Ex Post Facto). Comparison. Meta analysis. Part I: Experimental Designs. . Hypotheses. A hypothesis is a . testable. statement of . causal relationship. between two . variables. , derived from . theory. Must specify a relationship between an . Patricia Lockwood & . Rumana. . Chowdhury. MFD . – Wednesday . 12. th. 2011. Overview. Experimental Design. Types of Experimental Design. Timing parameters – Blocked and Event-Related . & Mixed design. The purpose of this PowerPoint is to present strategies to aid students at the high school and introductory college levels to:. Design experiments. Write procedures. Construct tables and graphs. Generate ideas. Researcher manipulates the independent variable (usually to create groups) and then compares the groups in terms of their scores on the dependent variable (outcome measure) while keeping all other variables constant through direct experimental control or randomization- If score on the dependent variable are different then the researcher can conclude that the difference was due to the difference between groups and no other cause (and the experiment will have internal validity) . Tyler Bassett and Tomomi Suwa. 12.07.2011. Designing A Scientific Study. Thoughts on Experimental Design. Two types of studies. 1) Observational . . 2) Experimental. Observational Study. -Observe subjects and measure variables of interest . (Mr. Staeger as a young scientist). Key Concepts and Vocabulary. Key Concepts:. How do we learn new things in science?. What are the steps of the scientific method?. What are the variables in an experiment?. Hariri. Introduction. Good experimental design allows you to:. Isolate effects of each input variable. Determine effects due to interactions of input variables. Determine magnitude of experimental error. So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . Experiments. After this section, you should be able to…. DISTINGUISH observational studies from experiments. DESCRIBE the language of experiments. APPLY the three principles of experimental design. So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . Toseland. Using Big Data To Solve . Economic . and Social Problems. Photo Credit: Florida Atlantic University. Note: Lighter Color = More Upward Mobility. Download Statistics for Your Area at www.equality-of-opportunity.org. Patricia Lockwood & . Rumana. . Chowdhury. MFD . – Wednesday . 12. th. 2011. Overview. Experimental Design. Types of Experimental Design. Timing parameters – Blocked and Event-Related . & Mixed design.