Chapter 3 Developmental Research Flashcards
Dependent Variable
What you are measuring (not changing)
Independant Variable
What you are manipulating (changing)
-Age cannot be manipulated
Quasi-Experiment
compare groups using predetermined characteristics (Between groups variation)
Descriptive Research Designs
Looks at age related differences, not ruling out historical or social factors
3 variables that might impact descriptive research design scores
- Age Effects- Differences in scores caused by underlying processes related to chronological age
- Cohort Effects - Differences in scores caused by experiences and circumstances unique to a generation
- Time of Measurement Effects - Differences related to time of testing
Effects can be confounded
Confounds
When something is confounded it means that it is hard to separate variable effects
Longitudinal Design
Same individuals being tested or observed repeatedly
Prospective Study
Longitudinal Design
(Special Type of Longitudinal Design)
Waiting for something to happen
-observes/ tests over long period of time of people before they are predicted to develop a disease or experience a particular life event
example- widowhood, watching married couples until they become widowed)
Confounds- age and time
Problems of Longitudinal designs
Costly, practice effects, changes in tests over time, takes a lot of time
- cannot make causal statements (only using one cohort)
Selective Attrition
A problem of longitudinal designs
- people who drop out or die are different (loosing participants)
- systematic bias (research can be controlled by the researcher)
Terminal Decline
A problem of longitudinal designs
- gradually loosing cognitive abilities closer to death
could play a role as well
Fixes of Longitudinal Design Problems
-Determine if you have non-random sampling , random drop out
- Compare attriters to non-attriters
(people who have lost the ability to speak vs people who can speak)
- Converging Evidence leads to confidence
Cross- Sectional Designs
Testing people of different ages at the same time
This is one of the more common designs
It it time and cost efficient
Age related differences
Problems of Cross-Sectional Designs
Cohorts and age (you might be studying the effects of age, not the difference between cohorts without knowing)
-Selective survival - aging
- What should the age groups be?
- Cohort Reaction - cohorts reaction to test mechanisms
for example- older generations are generally less tech savy then younger generations
Sequential Designs
Different combinations of cross- sectional or longitudinal studies
Famous study about Schaie (retirement is mandatory from 65-70 for many fields)
Tease Apart “effects” - test separate cohorts (Goal)