chapter 6 Flashcards
Descriptive Research
Goal is to describe behavior and/or characteristics of a population
Although it helps describe what people think or do, it doesn’t explain why
Important to psychologists because it can help lead to questions that need answered
Descriptive Research Examples
- What is the average income level?
- How many students would be in favor of cutting out spring break from the school year?
- How many people have at least 1 child?
Three types Descriptive Research
- Survey
- Demographic
- Epidemiological
Survey Research
Use questionnaires, interviews or observational methods to ask participants questions
- How do we do it?
- Cross-sectional survey design
- Successive independent samples survey design
- Longitudinal survey design
Cross-sectional survey design
Single group that is supposed to represent the population
Successive Independent Samples Survey Design
Two or more different samples complete the same question at different time points
-2 time points and 2 different groups
Importantly, they are different individuals at point 1 and 2
Problem: history effects
History effects
results could be different depending on what’s happening in the world, not because people are changing
Examples
Feelings of patriotism in the US before and after 9/11
Decline in SAT scores
Amount of people who own iPhones before/after 2011
Longitudinal Survey Design
Question (the same) participants more than once over time.
-Problems:
Participants might drop out: makes our sample different (meaning differences are because of the types of people staying, not “real changes”)
Examples
Music preferences over time
Athletic performance over time
Demographic Research
Describing basic life events of a particular sample/population and then characterizing what people do
Examples
-Changes in birth rates
-retired
-employed
-married
-Divorce
-How many times people move (residential mobility)
* tells us how these items might effect other variables.
Epidemiological Research
Study of disease and death (including mental disorders)
Can help psychologists learn if there are certain social groups more or less at risk
Presenting Descriptive Data
-simple frequency distribution
(smallest to largest; count of each value)
-Grouped frequency distribution (Grouped values together (class value); total count of each grouping)<—frequency
Relative frequency
calculated by dividing total scores in each class interval by the total scores -frequency/total scores=relative frequency
histogram
Y-axis : is the outcome count or what you are interested
X- axis: is something that you cannot count
How Do We Present Descriptive Data? Frequency distribution
Mean: Average (add all and divide by total number)
Median: the exact middle not affected by outliers or mode
Mode: the one that occurs the most
Range: difference between the largest and smallest scores
Variance &Standard deviation: tell us the distribution
Measures of variability
Range: difference between the largest and smallest scores
Variance &Standard deviation: tell us the distribution