Ch. 2: Research Designs and Ethical Issues Flashcards
Independent variable
the variable that’s being manipulated
Dependent variable
the variable that’s being measured
Why is age not a true independent variable?
You cannot manipulate it
Studies on aging use ______________ designs and compare groups on predetermined characteristics (age)
quasi-experimental
Age is how many years/months a person has lived. It is a measurement of:
- change within the individual. (how am I changing as I age). Biological, psychological and or sociocultural (# of friends decreases with age)
- changes that occur as a result of getting older
Cohort is the year or period of a person’s birth. It is a measurement of:
- differences that are unique to being born in a certain time period and therefore having the same life experiences or circumstances unique to being born at that time
Time of measurement is the year or period in which a person is tested. It is a measurement of:
- salient cultural, historical, or environmental effects at the time of data collection
Cross-sectional research design
- comparison of two or more persons or groups at one point in time
- data are gathered from multiple groups/cohorts of people (e.g., 50 year olds, 60 year olds) at one point of time, taking a cross-section of the population
- Age x cohort confound= Yes
- Age x Time of Measurement confound= No
Problems of cross-sectional design
- results reflect age differences not changes
- all participants are studied at one time in history
- selective survival of more able participants
- need to decide on age ranges and how to divide sample (who’s young, who’s old, etc.)
- finding comparable measures for older and younger adults (some items might mean different things in older & younger people
- separating age from cohort
Longitudinal research design
- a study over a long period of time
- data are collected on the same group of people, on the same measurements, at multiple points in time
- Age x Cohort confound= No
- Age x Time of measurement confound= Yes
This is one of the most well known longitudinal aging studies
The Nun Study
Limitations: Generalizability, Cost
Selective attrition
- when ceasing to participate in a longitudinal study indicates that these participants are not necessarily representative of the sample they were supposed to represent
Terminal decline/drop
- individuals gradually lose cognitive abilities as they draw closer to death
Problems of longitudinal design
- separating personal aging from historical effects/time of measurement
- expensive and logistically difficult
- results (final) take many years to complete
- selective attrition/terminal drop
- practice effects
- tests become outdated
What are the 4 M’s why participants cease to participate in a longitudinal study
- Motivation
- Mobility
- Morbidity
- Mortality