Can someone complete this short assignment for me?

Homework 5


1. Two of the following three examples have internal validity problems. Identify the one example that does not have an internal validity problem. For the remaining 2 examples, identify (i) whether the problem is a design confound, a selection effect, or an order effect. Finally, (ii) explain how each of the problematic studies might be changed so that it does not have the internal validity problem. (10 points)


a. An applied psychologist wants to test the effectiveness of an intervention to increase awareness of the environmental impact of disposable water bottles. The initiative involves asking students to use a smartphone to track the number of disposable water bottles they use, categorizing whether they reuse them, throw them away, or recycle them. He asks for volunteers in a large geology course. Students must own a smartphone in order to participate in the intervention group. Fifty volunteers who owned a smartphone were assigned to the tracking condition (they downloaded a free smartphone app for this purpose). Fifty more students who were interested, but who did not own a smartphone, made up the comparison group. This group was simply exposed to a short video on the impact of plastic water bottles. At the end of a two-week period during which the students in the smartphone group tracked their water bottle use, the researcher found that students in the tracking program were more likely to have purchased a reusable water bottle in the past week compared with the students in the comparison group. He concluded that his smartphone tracking program raised awareness, causing students to purchase reusable bottles.


  1. Design confound, selection effect, or order effect, or no problem?



  1. How would you change the design so that it does not have an internal validity problem (NA if no problem)?



b. A cognitive psychologist believes that people learn better when they spread out their studying over several days, so she creates a study with three groups of participants. Each group studies the same list of 120 Chinese vocabulary words (none of the participants had studied Chinese before). One group studies the words for 20 minutes on the first day. The second group studies the words for 20 minutes on the first and second days. The last group studies the words for 20 minutes on the first, second, and third days. On the fourth day, all of the participants are tested on how well they have learned the Chinese vocabulary words. The people in the last group scored the best, so the researcher concludes that distributed studying does improve people’s ability to learn.


  1. Design confound, selection effect, or order effect, or no problem?



  1. How would you change the design so that it does not have an internal validity problem (NA if no problem)?


c. A human factors psychologist is comparing visibility features for automobiles. (Human factors psychologists study how humans interact with the material world.) He plans to test whether drivers will avoid obstacles behind their cars more effectively when the car is equipped with an enhanced rearview mirror, a rear video camera system, or an object detector that sets off a buzzer alarm. He randomly assigns drivers to one of three cars (25 drivers to each type of car). The cars are identical except for their object detectors. The drivers spend 1 hour familiarizing themselves with their vehicles and their object detectors by running through a set of drills on a closed driver’s course. During a test phase, the researcher places a set of objects behind each driver. The test objects range in height, color, and movement. Each driver attempts to back up his or her car while avoiding each of the test objects; the driver gets a score depending on how many object they avoid. The psychologist finds that, on average, drivers respond more accurately to the rear camera video system compared to the rearview mirror or the buzzer alarm.


  1. Design confound, selection effect, or order effect, or no problem?



  1. How would you change the design so that it does not have an internal validity problem (NA if no problem)?

Read the following scenarios and answer each question that follows.

1. Scenario 1. Researchers were interested in better understanding how autistic children see and understand the world. Participants included children diagnosed with autism and typically- developing children, who were all approximately the same age. All children were presented with several different stimuli on a large computer screen for up to one minute. The stimuli were both social (i.e., people’s faces) and nonsocial (inanimate objects). The percentage of time children spent looking at the two types of stimuli were recorded (ranging from 0 to 100).

    1. What type of factorial design is this (independent groups, repeated measures, or mixed)? (1 pt)

    1. How many hypotheses or research questions are the researchers asking, given the factorial design of the study? What are the questions? (there are at least two) (2 pt)

    1. Consider the following graphs. For each graph (and associated table), write whether there is an apparent main effect for the first factor, a main effect for the second factor, and whether there is an interaction. For each apparently significant effect, interpret the result (3 pts).

Table 1.

Effect

p

Autism

Social

n.s.

Interaction

n.s.

*p < .05

Answer:

Table 2.

Effect

p

Autism

n.s.

Social

Interaction

n.s.

*p < .05


Answer:


Table 3.

Effect

p

Autism

Social

Interaction

*p < .05

Answer:

  1. Scenario 2. Consider the graphs shown below for a study about blaming the victim.

    1. What is proper statistical the notation of the design? Use the “__ × __” format (1 pt)

    1. Interpret the graphs for the blaming the victim study. For each graph, what are the significant main effects? Is there an interaction? Interpret the main effects and interactions that are present. (3 pts)

Table 1.

Effect

p

Gender

n.s.

Activity

Interaction

n.s.

*p < .05

Answer:

Table 2.

Effect

p

Gender

Activity

Interaction

*p < .05


Answer: