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Statistics – Unit 6

Posted by on May 31, 2019

Unit 6

Topics:

 

Note: All topics below are summarized by the following note outline: Research Design

Measurement 

  • Learning Objectives
  1. Define reliability
  2. Describe reliability in terms of true scores and error
  3. Compute reliability from the true score and error variance
  4. Define the standard error of measurement and state why it is valuable
  5. State the effect of test length on reliability
  6. Distinguish between reliability and validity
  7. Define three types of validity
  8. State the how reliability determines the upper limit to validity

 

Basics of Data Collection

  • Learning Objectives
  1. Describe how a variable such as height should be recorded
  2. Choose a good response scale for a questionnaire

 

Sampling Bias

  • Learning Objectives
  1. Recognize sampling bias
  2. Distinguish among self-selection bias, undercoverage bias, and survivorship bias

 

Experimental Designs

  • Learning Objectives
  1. Distinguish between between-subject and within-subject designs
  2. State the advantages of within-subject designs
  3. Define “multi-factor design” and “factorial design”
  4. Identify the levels of a variable in an experimental design
  5. Describe when counterbalancing is used

 

Causation

  • Learning Objectives
  1. Explain how experimentation allows causal inferences
  2. Explain the role of unmeasured variables
  3. Explain the “third-variable” problem
  4. Explain how causation can be inferred in non-experimental designs

 

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