HLSC 3F20 Lecture Notes - Lecture 17: Type I And Type Ii Errors, Abundant Number, Criterion Validity
13 Feb 2017
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To have good __ validity, a measure must also have good translational and criterion validity. Conclusion validity the degree to which conclusions reached about relationships in the data are credible, reasonable, believable. Data is (cid:272)olle(cid:272)ted to e(cid:448)aluate progra(cid:373)s to (cid:373)o(cid:374)itor outputs and assess outcomes. Evaluation is the systematic investigation of the program to inform decisions often trying to discover: Do some participants respond to certain methods/conditions differently than others. Often the relationship we want to understand is one of cause and effect did the progra(cid:373) cause changes in: Can look at whether or not campus has become a better place. The degree which conclusions we reach about relationships in our data are credible, reasonable, (cid:271)elie(cid:448)a(cid:271)le . Conclusion validity differs from internal validity because it requires only these conditions to be met: A theoretical conceptual or practical basis for the expected cause-effect relationship exists. Evaluation of community health programs lacks internal validity and precludes cause and effect conclusions.
