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21)An F value of 1.00 or less indicates that there is A)a significant difference between groups. B)no significant difference between groups. C)a large effect due to the experimental manipulation. D)probably a mistake in the computation. 22)The researcher evaluates the size of the F-ratio by A)comparing it with equivalent t values. B)comparing it with other F values used in the past. C)comparing its p value against the alpha level. D)consulting standards for scientific publication. 23)A comparison that is planned before any data are collected is called A)an a priori comparison. B)an a posteriori comparison. C)a post hoc comparison. D)an ad hoc comparison. 24)The scientific and informational value is generally A) greater for a posteriori than for a priori comparisons. B)greater for a priori than for post hoc comparisons. C)greater for a posteriori than for post hoc comparisons. D)the same for a priori, post hoc, and a posteriori comparison. 25)In an ANOVA, an a posteriori comparison A)is a type of planned comparison. B)is made before the planned comparisons are planned. C)is made after a significant F-ratio is found. D)is made only when the planned comparisons reveal significant differences. 26)In factorial designs, A)one independent variable is manipulated. B)one dependent variable is manipulated. C)more than one dependent variable is manipulated. D)more than one independent variable is manipulated. 27)If a design has different participants in each group and the critical comparisons are made between the different groups of participants, the design is considered to be A)a correlated-groups design. B)a within-subjects design. C)an independent-groups design. D)a matched-subjects design. 28)Research designs in which there are more than one manipulated independent variable are called A)independent-groups designs. B)low-constraint designs. C)correlated-groups designs. D)factorial designs. 29)Factorial designs are also called A)multivariable designs. B)univariate designs. C)single-variable designs. D)completely-randomized designs. 30)Factorial designs have the advantage of allowing us to evaluate A)the interaction between two or more independent variables. B)the same participants under different conditions. C)the interaction between a pretest and an independent variable.Â

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