Explain autocorrelation and why its presence is an issue for the use of parametric statistical analyses
What will be an ideal response?
Autocorrelation refers to the tendency of observations to correlate with another (rather than being truly independent observations of the dependent variable). In single subject research, one often expects to find trends in data which would indicate the presence of autocorrelation. A lag or time series analysis can definitively establish the presence or absence of autocorrelation. Its presence then precludes the use of parametric statistics because of the assumption that data points are independent of one another.
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External developmental assets are those that
a. come from families and communities. b. come from the child’s strengths, such as intelligence, interests, and motivation. c. are related to children’s biological determinants. d. none of the above
What are the features of good lessons?
What will be an ideal response?
CHOOSE ALL THAT APPLY. Young children with autism spectrum disorders may have difficulties engaging in purposeful play interactions. Some of these challenges include which of the following?
a. more variety in their play b. fewer turn-taking exchanges c. less complex play behaviors d. fewer complex play sequences e. more symbolic behaviors
The exact limits of the interval 1.5 - 2.0 are
a. 1.0 to 2.5 b. 1.25 to 2.25 c. 1.75 to 2.25 d. 0.5 to 3.0 e. 1.45 to 2.05