SOLVED

31)Conducting a factorial experiment is A)more complex than conducting single-variable designs. B)simpler than conducting single-variable designs. C)rarely done in modern psychological research. D)easier, because we can omit operational definitions and research hypotheses. 32)In a matrix for a factorial design, the row means represent the effects of A)extraneous factors. B)individual differences. C)an interaction. D)a single factor. 33)The notation 3 × 3 indicates that the design has ________ variables with three ________ of each. A)nine independent; repetitions B)three dependent; levels C)two independent; repetitions D)two independent; levels 34)The increased use of factorial designs in research has come about largely because they are A)less complicated to analyze. B)more sensitive than other designs to the effects of the independent variable. C)better at testing several causal hypotheses within a single design. D)used by all important psychologists. 35)In a 2 × 2 factorial design, there are ________ null hypotheses for each dependent measure. A)2 B)3 C)4 D)6 36)If we have three factors in a factorial design, we have ________ possible effects. A)3 B)7 C)4 D)11 37)If we have four factors in a factorial design, we have ________ possible main effects. A)4 B)5 C)24 D)15 38)Factorial designs A)include no more than one research hypothesis. B)cannot test participants across more than one condition. C)are ineffective when matched participants are included. D)contain more than one null hypothesis. 39)In a 2 × 2 factorial design, threats to internal validity A)are nonexistent. B)are considerably less than in a single-variable design. C)are more complex than in a single-variable design. D)can be controlled by randomly assigning matched pairs (2 × 2) of participants to conditions. 40)How many null hypotheses does a single-variable experimental design contain? A)One for each independent variable. B)Three for each dependent measure. C)One for each independent variable and one for each dependent variable. D)One for each dependent measure. Â