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Why would you use a dependent sample t-test?
.......Answer.........When comparing people to themselves (e.g.,
scores on a pre-test and a post-test), or comparing some other
matched pair (e.g., comparing brothers and sisters).
Why would you use an independent samples t-test?
.......Answer.........To see if the mean of two independent groups
are significantly different from each other.
Why can't we use a z-test in place of a one-sample t-test?
.......Answer.........As we do not know the value of σ, estimating it
from s will introduce some error in the calculation. This will
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change the shape of the sample distribution of the mean. It will
no longer be z distributed. Instead, it follows the t distribution.
Explain Longitudinal Study (Development Design)
.......Answer.........The same group of people is observed at
different points as they grow older
What are the problems with longitudinal development designs?
.......Answer.........Expensive and time consuming, larger drop-out
(attrition) rate, stuck with questions designed years ago
Explain Cross-Sectional Study (Development Designs)
.......Answer.........People of different ages are studied at only
one point in time
The ______ test is used to compare a group mean to a
population norm. .......Answer.........One-Sample t-Test
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As the degrees of freedom increase, the t-distribution becomes
slightly less squished. At infinite degrees of freedom, it is exactly
the same as the ______. .......Answer.........Normal Distribution
List the assumptions made for Independent Sample t-tests.
.......Answer.........Independent Groups, Normality of Dependent
Variable, and Homogeneity of Variance.
Explain Independent Groups. .......Answer.........Participants in
each group must be different, a between-subject design.
If participants are in both groups (a within-subject design), what
t-test would you use? .......Answer.........Dependent Sample t-test
Explain Homogeneity of Variance .......Answer.........The variance
of the two groups will be equal or approximately equal.
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Explain Normality of Dependent Variable. .......Answer.........The
sample dependent variable should be normally distributed
______ is more conservative and is less likely to result in Type I
error. .......Answer.........Non-directional (Two-tailed) test
______ is more liberal and more likely to result in Type I error.
.......Answer.........Directional (One-tailed) test
Which test (one or two tailed) should you use (unless you have a
compelling reason to do otherwise)? .......Answer.........Non-
directional (two-tailed)
Correlation Coefficient of Effect Size varies from ______ to
______ and is not used very often. .......Answer.........0 to 1