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PSYCH 464 LATEST MIDTERM EXAM 2025.2026 VERIFIED QUESTION AND ANSWER (ORIGINAL PDF)

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PSYCH 464 LATEST MIDTERM EXAM 2025.2026 VERIFIED QUESTION AND ANSWER (ORIGINAL PDF)

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PSYCH 464 LATEST MIDTERM EXAM 2025.2026
VERIFIED QUESTION AND ANSWER (ORIGINAL
PDF)
advantages of cross sectional

quick and inexpensive,
no dropping out cause its one-time point



disadvantages of cross sectional

cohort differences, no age changes, selection bias



time-lag design

pulling different age groups
EX: a study on the effects of sleep on academic performance



advantages of time-lag

cost effective, focuses on generational changes, separates age and generation effects



disadvantages of time-lag

expensive, cannot control age change effects



time-sequential

2 or more cross sectional studies carried out in different times-you can't look at age
EX: enrolling 3 separate groups of children (groups A, B, C)



advantage of time-sequential

Sequential designs allow researchers to study changes over time

, disadvantages of time-sequential

takes more time for data



cohort-sequential design

2 or more overlapping studies. Cohort effects are minimized and age is not confounded with cohort
EX: testing different age groups



advantages of cohort-sequential design

efficient data collection, greater external validity



disadvantages of cohort-sequential design

- Requires considerable time and money
- Many participants drop out over the course of the study



between-subjects design

A research design in which different groups of participants are randomly assigned to experimental
conditions or to control conditions.
EX: An experiment testing the effectiveness of a new drug on blood pressure, where one group receives
the drug (experimental group) and another group receives a placebo (control group).



advantages of between subject design

Less time to participate



disadvantages of between subject

More participants, selection bias, less powerful



techniques to overcome selection bias

Random assignment: Randomly assigning participants to different groups ensures that the groups are
similar in terms of relevant characteristics, minimizing the risk of selection bias.
Matching: If random assignment is not possible, researchers can match participants based on relevant
characteristics

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