Module 3.5 - 3.6: Research Strategies
3.5: Cautions When Applying Data
- ∗∗SurveyMethod:∗∗ A research technique that questions a sample of people to collect information about attributes & behaviors
- Surveys allow researchers to collect large amounts of data (questions. interviews)
- Efficient, but results in bias due to wording (aid to the needy vs. welfare)
- ∗∗SocialDesirability∗∗: Self-report responses that make their response look good to others, even though it goes against their true beliefs.
- ∗∗Population∗∗: The group of people you are collecting information from
- ∗∗RandomSample∗∗: Randomly selected individuals to represent a group as a whole. (equal chance)
- researchers use mathematical formulas to find adequate #’s
- Random → larger selection
- Not random → Makes ample bias; bad conclusions
3.6: Longitude & Cross-Sectional Studies
- These techniques are used to show how individuals change during their lifespan. (Developmental Psychologist)
- ∗∗LongitudinalStudies:∗∗ Follows the same group of individuals over a long time
- ∗∗LewisTerman∗∗(psychologist)
- began a famous longitudinal study group of intelligent children in California
- Studied them for 70 years
- Learned that they had successful careers
- Best way to do developmental research
- Type of study is expensive & difficult to conduct (rare)
- ∗∗Cross−SectionalStudies:∗∗ Compares people of different ages at one time
- more efficient than longitudinal studies, but can still result in problems
- Ex: Due to Era, Culture, etc…
- older individuals could have less memory ability compared to younger individuals
- this could also be caused due to their education system over time (computers)
- ∗∗ConfoundingVariables∗∗: Any variable, other than the Independent variable, which could impact the Dependent Variable.
- Individual differences
- age, health, ability, etc
- Fix: random assignment
- Environmental conditions
- Temperature, light, noise, etc
- Expectation Effect
- Participant or researcher bias
- Fix: blind or double-blind studies; placebo
- ∗∗DataAnalysis:∗∗ statistical analysis is used to determine if data supports the hypothesis
- ∗∗StatisticallySignificant∗∗: the possibility of the difference between groups occurring by chance alone is no more than 5% (p
- ∗∗CentralTendency∗∗: Tendency of a majority of the numbers in a set to occur near the middle
- Measures:
- ∗∗Mean∗∗ - mathematical average
- ∗∗Median∗∗- Midpoint in distribution
- ∗∗Mode∗∗- most frequent score