HBSS 6100 Assessment 1 with complete verified solutions 2025
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Course
HBSS 501
Institution
HBSS 501
Experimental Variance
Variance attributable to the independent variable under study (ex- making one group have a program and the other does not)
-
Extraneous Variance (Systematic)
variance attributable to factors not not related to study variable. Will cause a change in mean making a prog...
HBSS 6100 Assessment 1
with complete verified
solutions 2025
Experimental Variance - answer Variance attributable to the
independent variable under study (ex- making one group have a
program and the other does not)
-
Extraneous Variance (Systematic) - answer variance attributable to
factors not not related to study variable. Will cause a change in
mean making a program look better or worse (think: internal
validity)
Error Variance - answer Variance attributable to random
fluctuations. No change in mean is produced
Formative Evaluation - answer Evaluating program during initial
development and use for the purpose of improving the final product
Summative Evaluation - answer Evaluation programs to make
judgments about their worth
Classical Test Theory - answer Argues total variance= true variance
+ error variance
-True variance will be seen if there is truly a difference in scores
, How do we maximize experimental variance? - answer We
maximize experimental variance by having groups being as different
as possible with respect to the variable under study (ex- the
program)
How do we minimize extraneous variance? - answer We minimize
extraneous variance by identifying and controlling threats to design
validity
-Threats to internal validity (ex- maturation, time etc.)
What is statistical conclusion validity? - answer This type of
validity is concerned with whether conclusions about relationships
or differences drawn from statistical analysis are an accurate
reflection of the real world.
Threats to statistical conclusion validity - answer -Low statistical
power (e.g., sample too small)
-violated assumptions of statistical tests (ex- non-normal
distributions)
-Fishing and error rate problem (the more tests we give, the more
likely we are to find a problem)
Internal Validity - answer Concerned with the extent to which 2
variables are causally related
threats to internal validity - answer History- historical events
Maturation
Testing- reactive effects of testing
Instrumentation- reliability and validity of instruments
Regression towards the mean
Selection bias- not able to compare groups
Attrition
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