Q&A Hero

Q: Which of the following statements is true? A. Researchers first consider the statistical significance of main effects before considering interaction effects in a complex design. B. If an interaction effect is statistically significant, researchers then use main effects to understand the source of the interaction. C. If an interaction effect is not statistically significant, the researcher should then conduct analyses of simple main effects to determine why the interaction was not statistically significant. D. If an interaction effect is statistically significant, it is likely the researcher will discover at least one statistically significant simple main effect.

Q: The interpretation of main effects obtained in a complex design is critically dependent on whether A. an interaction effect is not present in the experiment. B. an interaction effect is present in the experiment. C. only one main effect occurs in the experiment. D. more than one main effect occurs in the experiment.

Q: Suppose the overall analysis of variance of a complex design indicates there is no interaction effect. Which of the following analyses should be done as the next step in analyzing this experiment? A. main effects B. simple main effects C. comparisons of two means D. simple interaction effects

Q: A student has conducted an experiment involving a 4 2 design. The student's initial analyses of variance indicates there was no statistically significant interaction effect in the experiment. The independent variable with four levels, however, did produce a statistically significant main effect. Which of the following analyses should the student do next to specify the source of this main effect more precisely? A. eta-squared analysis B. simple main effects C. simple interaction effects D. comparisons of two means

Q: In a 2 2 complex design experiment with a statistically significant interaction effect, the simple main effects analyses represent A. an eta-squared analysis. B. an analysis to reveal floor or ceiling effects. C. a comparison of means considered two at a time. D. the subtraction method.

Q: Complex designs enhance researchers' ability to test hypotheses derived from theories because complex designs A. require more specific operational definitions of concepts. B. make it possible to test both main effects and interaction effects. C. have higher internal validity. D. insure that the null hypotheses will be false.

Q: (p. 250, 253) The following table shows three cell means for a 2 2 complex design. Assume that the analysis of the experiment indicates no main effect of Factor A, no main effect of Factor B, and an interaction effect between Factors A and B. What value should be placed in the missing cell for this pattern of results to be obtained? [Assume that any difference between means is significant.] A. 30 B. 40 C. 50 D. 80

Q: (p. 250, 253) In a line graph of a complex design, the dependent variable is typically represented A. on the x-axis (horizontal). B. on the y-axis (vertical). C. by multiple lines within the space of the graph. D. using multiple graphs.

Q: When a line graph is used to depict the results of a complex design, an interaction effect is indicated by A. nonparallel lines. B. parallel lines. C. lines that change direction only once. D. lines that change direction more than once.

Q: Which of the following patterns indicates that there has been no interaction effect in a complex design experiment when the results are plotted in a line graph? A. when the lines are parallel B. when the lines start out at the same point and diverge from each other C. when the lines start out apart and converge to the same point D. when the lines intersect forming a crossing pattern

Q: A student is trying to determine whether an interaction effect is present in an experiment with a 2 2 design. The data are summarized in a table. Which of the following methods should the student use to estimate whether or not an interaction effect is present? A. addition method B. subtraction method C. multiplication method D. division method

Q: In a complex design in which there are three independent variables (A, B, C) it is possible to determine A. three main effects and the three-way interaction effect of A B C. B. three main effects just the same as in three separate experiments, each one involving only one independent variable. C. three main effects, three two-way interaction effects (A B, A C, B C), and the three-way interaction effect of A B C. D. none of these

Q: Which of the following statements is false? A. Factorial combination of two independent variables, each with three conditions, would yield six experimental conditions. B. The simplest complex design experiment has one independent variable and one dependent variable. C. A 2 3 complex design experiment has two independent variables. D. A "mixed design" is when one independent variable is manipulated as an independent groups variable and a second independent variable is manipulated as a repeated measures design.

Q: Complex designs beyond the basic 2 2 design can be constructed A. only by increasing the numbers of levels of each independent variable (e.g., 3 3). B. only by increasing the numbers of independent variables but holding the levels of each at two (e.g., 2 2 2). C. either by increasing the numbers of levels of each independent variable or by increasing the numbers of independent variables or by doing both. D. none of these

Q: An experiment that is described as a 3 3 2 is one that has A. one independent variable with a total of 8 conditions. B. two independent variables, each with three levels and 18 conditions. C. two independent variables with 3 levels and two dependent variables with 2 levels. D. three independent variables, two with 3 levels and one with 2 levels.

Q: In a 2 2 design with the independent variables, Anxiety Level (Low, High) and Type of Test (Easy, Hard), which of the following would be one of the four conditions created using factorial combination? A. hard test B. low anxietyeasy test C. easy testhard test D. low anxietyhigh anxiety

Q: The overall effect of each independent variable in a complex design is called A. a main effect. B. an average effect. C. a comparison effect. D. a simple main effect.

Q: Using the data in the following table, determine the two values that represent the main effect of the Test Anxiety independent variable: A. 75 and 70 B. 80 and 65 C. 80 and 70 D. 80 and 60

Q: Which of the following effects occurs in a complex design when the effect of one independent variable differs depending on the level of a second independent variable? A. main effect B. collapsed effect C. interaction effect D. factorial effect

Q: In a complex design experiment, researchers found that younger and older people performed equally well on a memory task when they were tested in the afternoon, but the older people performed better than the younger people when they were tested in the morning. The different effect of age at the two times of day represents A. a main effect. B. an interaction effect. C. a correlational effect. D. a simple comparison effect.

Q: Which of the following statements best describes the effects that occurred in the 2 2 design outlined in the following table? The dependent variable is memory for the tasks (out of a possible ten), and you may assume that any nonzero difference is statistically significant. A. There were two main effects (one for the type of task variable and one for the depression variable) but no interaction effect of the two independent variables. B. There was a main effect of the type of task variable, no main effect of the depression variable, and an interaction effect of the two independent variables. C. There was an interaction effect of the type of task and the depression variables and a main effect of each of the two independent variables. D. There was an interaction effect of the type of task and the depression variables but no main effect of either independent variable.

Q: The following table includes the results of a 2 2 design in which one independent variable was the gender of a research confederate leading a group discussion (male or female) and the second independent variable was the outcome of the group performance (success or failure). Both variables were manipulated by the experimenter using random groups designs. The dependent variable was participants' rating of the confederate leading the discussion. There is an interaction effect in this experiment. Which of the following statements is appropriate for describing the interaction effect? A. The effect of gender of the confederate depends on the type of outcome. B. The effect of the type of outcome depends on the gender of the confederate. C. Both statements (A and B) are appropriate to describe the interaction effect. D. Neither statement (A nor B) is appropriate to describe the interaction effect.

Q: The best solution when differential transfer is likely in an experiment is to A. use selected orders in an incomplete repeated measures design. B. conduct an independent groups design. C. choose a different independent variable to investigate. D. use block randomization in a complete repeated measures design.

Q: A health psychologist conducts an experiment to test the effectiveness of four techniques for helping a person to relax. The psychologist has a limited number of people available to participate in the experiment and each relaxation technique takes some time to complete. The psychologist has decided, therefore, to use the incomplete repeated measures design with all possible orders to balance practice effects. What is the minimum number of participants the psychologist will need for this experiment? A. 4 B. 12 C. 24 D. 48

Q: When selected orders of conditions (Latin Square or random starting order with rotation) are used to balance practice effects in the incomplete repeated measures design, A. the number of selected orders must be exactly equal to the number of conditions in the experiment. B. the number of selected orders will always be equal to some multiple of the number of conditions in the experiment. C. the number of selected orders will always be equal to one less than the number of conditions in the experiment. D. there is no restriction on the number of possible orders needed to balance practice effects in the incomplete repeated measures design.

Q: Compared to random starting order with rotation, an advantage of the Latin Square technique for selecting orders in the incomplete repeated measures design is that in the Latin Square A. each condition is presented to each subject several times. B. practice effects are balanced within each individual. C. a random order of conditions is generated for each participant. D. each condition precedes and follows each other condition exactly once.

Q: The additional step needed when analyzing the results in a complete repeated measures design is to A. compute the mean (or median) score for each participant for each condition of the experiment. B. multiply participants' score in each condition by the order in which the condition appeared. C. add the participants' scores across all conditions and divide by the number of conditions. D. subtract the mean of all conditions from each participant's score.

Q: Repeated measures designs are more sensitive than random groups designs because the systematic variation due to individual differences is _________ the statistical analyses. A. eliminated from B. added to C. averaged into D. a critical part of

Q: The problem of _____ in a repeated measures design occurs when the effects of a condition persist or carryover to affect performance in the subsequent conditions. A. sensitivity B. anticipation effects C. differential transfer D. counterbalancing

Q: An incomplete repeated measures design experiment was done to test people's ability to solve problems that varied in difficulty at three levels (easy, moderate, and hard). The researcher used all possible orders to balance practice effects. Results indicated that performance on the hard problems was better when they were preceded by a moderate difficulty problem than when they were preceded by an easy problem. Which of the following is a possible explanation of this finding? A. anticipation effects B. nonlinear practice effects C. progressive error D. differential transfer

Q: A researcher plans to conduct a complete repeated measures design in which the independent variable is manipulated using four conditions that vary the level of violence depicted in a photograph (none, low, medium, high). There are 10 photographs in each of the four conditions. Each participant will rate each photo once. If the researcher wishes to have 80 ratings for each photo, how many participants should the researcher recruit? A. 2 B. 10 C. 40 D. 80

Q: A researcher designs an experiment with six conditions but each condition takes only a very short amount of time to administer. The researcher has the opportunity, therefore, to administer many trials of each condition in the experiment. Which of the following techniques is likely to be most effective for balancing practice effects? A. ABBA counterbalancing B. block randomization C. stratified randomization D. all possible orders of conditions

Q: An advantage of block randomization in the complete repeated measures design experiment is that A. each condition of the experiment is represented an equal number of times at all stages of practice. B. all trials of one condition are presented first, followed by all trials of a second condition, etc., making statistical computations easier. C. one condition is assigned to one "block" of participants, a second condition is assigned to a second block of participants, etc. D. stages of practice are randomly assigned to the different blocks of conditions.

Q: A student is considering doing a complete repeated measures design experiment involving motor skills. The student's advisor has told him that people show a large initial improvement on the task followed by slow steady improvement after this initial change. The student must choose a technique for balancing practice effects. Which technique should the student not use? A. ABBA counterbalancing B. block randomization C. Latin Square D. all possible orders

Q: When a participant in an experiment that involves the complete repeated measures design develops expectations about which condition should occur next in the sequence, the methodological problem that occurs is called A. reactivity effects. B. sequential effects. C. differential transfer. D. anticipation effects.

Q: In the incomplete repeated measures design, the levels of the independent variable for each participant are perfectly confounded with the A. characteristics of that particular participant. B. order in which the levels are presented. C. individual differences variables in the experiment. D. characteristics of the experimental task.

Q: Practice effects in the incomplete repeated measures design are balanced by A. ensuring first that the results for each participant are balanced across conditions. B. subtracting the results for the different groups of participants in the experiment. C. averaging across the results for all participants. D. first obtaining a summary score within each condition for each participant.

Q: Each of the three techniques that are used to balance practice effects in the incomplete repeated measures design conforms to a general rule that can be stated as A. each condition must appear in only one ordinal position. B. each condition must appear in the first ordinal position equally often. C. each condition must appear in each ordinal position at least twice. D. each condition must appear in each ordinal position equally often.

Q: (p. 223, 228-229) A researcher compares students' performance using a new learning strategy to their performance using the old strategy. Students' performance is first tested with the old strategy, followed by the new strategy. The results indicate that students perform better with the new strategy. These results A. show that the order of the two learning strategies does not matter. B. are uninterpretable due to the confounding with practice effects. C. indicate that teachers should use the new strategy. D. all of these

Q: Counterbalancing is an important research technique because it is used to A. average practice effects across conditions of a repeated measures design. B. average practice effects across conditions of an independent groups design. C. average individual differences variables across conditions of a repeated measures design. D. all of these

Q: Balancing the order of conditions in a repeated measures design A. equates practice effects with those found in random groups designs. B. eliminates practice effects in the conditions of the experiment. C. averages practice effects across the conditions of the experiment. D. balances individual differences variables across the conditions of the experiment.

Q: A marketing researcher wants to test the effectiveness of three different types of advertisement. Participants will respond to 50 examples of each type of advertisement so that the researcher can determine each person's preference. What type of design is this researcher using? A. conditional repeated measures design B. partial repeated measures design C. complete repeated measures design D. incomplete repeated measures design

Q: A psychologist wishes to have participants rate two different sets of inkblots (labeled A and B) for their "emotionality." The inkblots differ in their use of color. Ten inkblots in set A are created in shades of gray; ten inkblots in set B use shades of red, blue, and yellow. The psychologist hypothesizes that color will influence participants' ratings of emotionality. Each participant will rate all twenty inkblots. What potential confounding variable must be balanced in this research? Explain what balancing procedure would be best for this experiment.

Q: In an independent groups design, a separate group of people serves as a control group. In the repeated measures design, A. there is no control. B. participants serve as their own controls. C. all participants participate in one condition of the experiment. D. test-retest reliability is the main goal of the research.

Q: The need to balance practice effects in the repeated measures design is analogous to the need to balance ________ in the independent groups design. A. order effects B. reactivity C. individual differences D. subject loss

Q: Which of the following is not one of the reasons researchers choose to use the repeated measures design? A. Repeated measures designs are generally less sensitive than are independent groups designs. B. Repeated measures designs are more convenient and efficient. C. Repeated measures designs require fewer subjects. D. Repeated measures designs are needed when the experimental procedures require participants to compare two or more stimuli.

Q: A sensitive experiment refers to the ability to detect the effect of the independent variable even if the effect is _________. A. uneven B. small C. large D. very large

Q: In general, participants in a repeated measures design will vary within themselves less over conditions of the experiment than participants in a random groups design will vary from other participants across conditions. This means there is likely to be ________ in repeated measures designs compared to random groups designs. A. less error variation B. less sensitivity C. more bias D. more individual differences

Q: The difference between repeated measurements to establish test-retest reliability and experiments using repeated measures designs is that in experiments with repeated measures designs A. the reliability of measurement is not important. B. a correlation coefficient would be used to determine consistency across measurements. C. measurements occur only twice. D. measurements are compared for different conditions of an independent variable.

Q: There can be no confounding by individual differences variables in the repeated measures designs because A. intact groups of participants are assigned to the different conditions of the experiment. B. individual differences variables are held constant. C. the same participants are tested in all conditions. D. participants are tested in only one condition of the experiment.

Q: When using a repeated measures design, researchers must control the potential threat to internal validity referred to as A. individual differences variables. B. sensitivity. C. incomplete orders. D. practice effects.

Q: What are one advantage and one disadvantage of using all possible orders to balance practice effects in the incomplete repeated measures design?

Q: Define differential transfer and describe one method a researcher could use to detect whether differential transfer is a problem in a repeated measures experiment.

Q: (p. 220, 222-224) Identify the differences between the random groups design and the repeated measures design in terms of how the independent variable is manipulated and what potential confounding variable must be balanced in each design. What method(s) are available for balancing in each design?

Q: Explain why ABBA counterbalancing would be ineffective in balancing practice effects in the complete repeated measures design when the practice effects involve an abrupt initial change followed by little change thereafter.

Q: Researchers found a relationship between insults and aggressive behavior for 5-year olds. If they want to test the external validity of the conceptual relationship between insults and aggressive behavior for a sample of 35-year olds, they should A. test the findings in the real world rather than in a laboratory setting. B. use the same measure of aggression as was used with the 5-year olds. C. use age-appropriate insults and measures of aggression for the 35-year olds. D. use the same insults as was used with the 5-year olds.

Q: A cognitive psychologist wants to do an experiment to test a variable that may influence the memory of elderly people. She has the following constraints: only 12 people are available as possible participants, and the independent variable she plans to manipulate requires the use of a separate group for each of the two conditions. The psychologist has a reliable and valid pretest she can use to evaluate participants' memory prior to the manipulation. Which design is this psychologist likely to use? A. random groups design B. natural groups design C. matched groups design D. placebo control design

Q: When conducting an experiment using the matched groups design, the preferred matching variable is A. completely different from the dependent variable. B. an inexpensive test that participants could complete quickly. C. a measure with limited reliability and validity. D. the same measure that will be used as the dependent variable.

Q: Which of the following conditions would lead you to recommend against the use of a matched groups design and in favor of a random groups design? A. a small number of participants from a heterogeneous population is available B. a large number of participants from a homogeneous population is available C. a separate group is required for each level of the independent variable of interest D. a reliable and valid matching variable is available

Q: A researcher plans to use a matched groups design to assess a treatment for increasing body weight of premature infants. The independent variable has two conditions, treatment and control. Eight pairs of premature infants are matched according to their body weight prior to manipulating the independent variable. In order to control for other potentially relevant characteristics of the participants, the researcher should A. identify a matching variable uncorrelated with body weight. B. assign the lower weight infant in each pair to the treatment condition. C. randomly assign infants in each pair to the treatment or control group. D. none of these

Q: Which of the following is an example of an individual differences (subject) variable? A. individuals randomly assigned to one of three different treatments in a diabetes study B. an independent variable involving three levels of nicotine in a smoking cessation program C. a law enforcement training program compared over a 4-week or an 8-week period D. individuals classified as introverted or extraverted in a study of alcohol use

Q: To differentiate experiments involving individual differences (subject) variables and those involving manipulated independent variables, those experiments involving groups selected based on individual differences (subject) variables are called A. selected subjects designs. B. matched groups designs. C. random groups designs. D. natural groups designs.

Q: The natural groups design represents an illustration of the general research approach that is called A. correlational research. B. descriptive research. C. experimental research. D. observational research.

Q: Which of the following is the most critical problem in drawing causal inferences based on the natural groups design? A. establishing covariation B. correlating participants' characteristics and their performance C. eliminating plausible alternative causes for the obtained relationship D. using the natural groups variable to make predictions for the dependent variable

Q: Cite two reasons why a researcher might choose to use a repeated measures design.

Q: Provide brief answers to the following question regarding the repeated measures designs. What distinguishes the complete repeated measures design from the incomplete repeated measures design?

Q: (p. 224-227, 230-232) Provide brief answers to the following question regarding the repeated measures designs. What techniques are used in the complete and incomplete repeated measures designs to balance practice effects?

Q: In what situation is it argued that external validity is irrelevant? A. when psychologists seek to describe real-world settings based on laboratory research. B. when research is conducted with college student samples. C. when the goal of an experiment is to observe the most typical case found in nature. D. when the purpose of the experiment is to test a specific hypothesis derived from a theory.

Q: A researcher read a research report indicating that a certain medication was found to be effective when tested on men. The researcher plans to do an experiment testing the effectiveness of the same medication, but in his experiment both men and women will be tested. The researcher is planning to do a A. partial replication of the experiment to test the reliability and external validity of the finding from the original experiment. B. replication of the experiment to test the internal validity of the original experiment. C. replication of the experiment to test the sensitivity of the original experiment. D. partial replication of the experiment to test the statistical power of the original experiment.

Q: When the findings of experiments testing the effectiveness and safety of drugs on animals are replicated in clinical trials with people, the original findings of the animal research are shown to have A. external validity. B. internal validity. C. statistical significance. D. sensitivity.

Q: The problem of Type I and Type II errors occurs because A. decision making based on inferential statistics depends on probabilities. B. researchers rarely conduct internally valid experiments. C. the null hypothesis is difficult to define. D. all of these

Q: A Type I error occurs when the null hypothesis is really true and we claim A. the independent variable did not have an effect on behavior. B. the independent variable did have an effect on behavior. C. the inferential test was not statistically significant. D. that the results are not statistically significant.

Q: When we conclude that an experiment does not provide sufficient evidence to reject the null hypothesis when, in fact, an independent variable does produce an effect, the inferential statistics problem is called a A. Type I error. B. Type II error. C. no-confidence interval. D. probability error.

Q: (p. 181, 205) ________ refers to the researcher's ability to make causal inferences regarding an experimental outcome and _________ refers to the researcher's ability to generalize the findings beyond the scope of the specific experiment. A. Reliability; validity B. Replication; confounding C. Internal validity; external validity D. External validity; internal validity

Q: Which of the following is a measure of the strength of the relationship between the independent and dependent variables that is independent of sample size? A. t-test B. standard deviation C. mean difference score D. effect size

Q: A researcher conducted an experiment in which participants played either a violent or a nonviolent video game. After the game, the researcher measured hostile cognitions. The effect size, Cohen's d, for the difference in mean hostile cognition between the violent and nonviolent conditions was .83. Based on this, it is possible to state that the video game independent variable had a _______ effect on hostile cognition in this experiment. A. nonsignificant B. small C. medium D. large

Q: Which of the following is not an advantage of using measures of effect size? A. Measures of effect size provide information about the strength of the relationship between an independent variable and a dependent variable. B. Measures of effect size provide the best information about whether the effect of the independent variable is statistically significant. C. Measures of effect size can provide an estimate of the overall effect size for an independent variable by averaging effect sizes across a series of experiments. D. Measures of effect size can be used to make quantitative comparisons of the different outcomes found in a series of experiments involving the same independent variable.

Q: The statistical technique that is used to analyze the results of several independent experiments is called A. F-test. B. central tendency. C. meta-analysis. D. Cohen's d analysis.

Q: Two statistical methods that researchers use to determine whether an independent variable has a reliable effect on a dependent variable are A. null hypothesis significance testing and confidence intervals. B. statistical significance and odds-likelihood analysis. C. analysis of error variation and effect size. D. Cohen's d and alpha.

Q: The nonsystematic (random) variation due to differences among subjects within each group is called A. spurious variation. B. nonsignificant variation. C. inferential variation. D. error variation.