Practice Quiz

Child Psychology Exam Prep - Question List

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61. Single-subject design in research studies one or a few subjects closely, rather than studying groups. What is one of the most common problems associated with single subject design?
  1. Autocorrelation
  2. Non-manipulation
  3. Carryover effects
  4. Cohort effects
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62. In addition to being measured by central tendency, group data can be measured by variability in descriptive statistics. The standard deviation from the mean is a measure of average deviation from the mean in a set of scores. Which of the following sets of scores will have the greatest standard deviation?
  1. 3, 7, 10
  2. 15, 17, 23, 27
  3. 4, 7, 8, 20
  4. 4, 7, 8, 10
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63. In hypothesis testing, the area of the curve in which it is unlikely a researcher will obtain means is called the rejection region (or region of unlikely values). What conclusions are drawn when obtained values fall in the rejection region?
  1. The experiment was unsuccessful and needs to be redesigned
  2. Null hypothesis is rejected; there are differences between groups
  3. Null hypothesis is rejected; there are no statistically significant differences between groups
  4. Null hypothesis is accepted; there are no statistically significant differences between groups
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64. In statistical test construction, factorial design allows for analysis of the effect of each factor on the response variable, as well as the effect of interactions between factors on the response variable. If a factorial design yields main and interaction effects, how should results be interpreted?
  1. Analyze the main effect in light of the interaction effect
  2. Analyze the main effect and interaction effect together
  3. Analyze the interaction effect independently
  4. Analyze all effects independently
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65. Multiple regression tests are used when there are several predictors (or independent variables) and one or more criterion (dependent variables). What does multicollinearity refer to?
  1. Predictors are highly correlated, and therefore redundant
  2. Predictors are too lowly correlated to be useful
  3. Criterion are highly correlated, and therefore redundant
  4. There is a high correlation between each predictor and criterion
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