1 / 14

Planning and Conducting Experiments

Planning and Conducting Experiments. Emily Bennett 1 st Period. Characteristics . Well Designed and Well Conducted Experiments. Random: The study must be randomized to prevent bias. Replication: When a study has a large sample or is performed multiple times it gives more accurate results.

jalena
Télécharger la présentation

Planning and Conducting Experiments

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Planning and Conducting Experiments Emily Bennett 1st Period

  2. Characteristics Well Designed and Well Conducted Experiments

  3. Random: The study must be randomized to prevent bias. • Replication: When a study has a large sample or is performed multiple times it gives more accurate results. • Control: A group that the study can be compared to. This prevents variability and lurking variables. Characteristics…

  4. More info on Experiments Treatments, Random Assignments, and Experimental Units

  5. Treatments: Specific condition being applied to the experimental unit or subject. • Random Assignments: Used to assign subjects to a certain treatment or to a certain grouping for the treatment. • Experimental Units: The person, animal or object being experimented on. More Info…..

  6. Sources of Bias and Confounding Placebo, Blinding, etc.

  7. Sources of Bias: • Wording of the question being posed. • Characteristics of the interviewer • Response of the subject or subjects • Convenience Bias and Confounding…

  8. Confounding: When the affects of two variables cannot be separated. • Ways to Avoid Bias: • Blinding: When the subject doesn’t know the treatment they will receive. • Double Blinding: When both the subject and the experimenter/administrator don’t know the treatment being given/recieved. • Placebo: Occurs when the subject thinks and believes that they will be affected by the treatment, so they are. Bias and Confounding…

  9. Completely Randomized Design The Simplest Experimental Design

  10. Subjects are randomly assigned to treatments. • There are usually only 2 treatments • Often times a placebo is given to one subject and the experiment is given to another subject. • Relies on randomization to eliminate variability Completely Randomized Design…

  11. Randomized Block design Including Matched Pairs

  12. Steps of the Randomized Block Design: • Divide subjects or participants into blocks based on certain characteristics. • RANDOMLY assign experimental subjects or units to treatments within each block. • Compare results WITHIN each block. • Matched Pairs: A block design only when there are two units. Block Design

  13. SRS—Simple Random Sample • When all of the population has the same chance of being the sample that is selected. • Clustering • Dividing sample into groups that share similar characteristics, then randomly choose some clusters to be tested/experimented on. Types of Experiments

  14. My written notes, tests, reviews and note sheets. • www.ma.utexas.edu/users/mks/statmistakes/SRS.html • http://m.wisegeek.org/what-is-cluster-sampling.htm • http://stattrek.com/statistics/dictionary.aspx?definition=completely_randomized_design Works Cited

More Related