Chapter 2. Research Methodology Flashcards
What are the two basic types of observational studies?
Naturalistic observation & Participant observation
Observational studies or descriptive studies
Involve noting and observing behavior to analyze it objectively
Naturalistic observation
The observer remains separated from or makes no attempt to change the situation
Participant observation
The researcher is involved in the situation
Cross-sectional studies
Compare two different groups. For example, to study intellectual abilities you can take a group of young people and compare it with a group of older individuals.
These studies tend to be cheaper that longitudinal studies but the researcher has to account for unidentified variables.
Observer bias
Systematic errors that occur because of an observer’s expectations
Operational definitions
Identify and quantify variables so that they can be measured
Experimenter expectancy effect
Actual change in the behavior of the pole and animals being observed that is due to observer bias
Correlations a study
A research method at examines how variables are naturally related in the real world, without any attempt by the researcher to alter them.
You can not draw a causal relationship
Directionality problem
When researchers find a relationship between two variables in a correlation all study, they can not determine which variable may have caused the changes in the other variable.
Third variable problem
When the experimenter cannot directly manipulate the independent variable and therefore cannot be confidence that another, unmeasured variable is not the cause of differences In the dependent variable.
Experiment
This is a study in which the researcher manipulates one variable to examine the variable’s effect on a second variable
Control group
The participant in a study that receive no intervention or an intervention different for the one being studied
Experimental group
The participants in the study that received the intervention
Independent variable
In an experiment,the condition that is manipulated by the experimenter to examine its impact on the dependent variable
Dependent variable
In an experiment, the measure that is affected by the manipulation of the independent variable
Confound
Anything that affects the DEPENDENT variable and may unintentionally vary between the experimental conditions of a study
The more confounds and thus alternative explanations that can be eliminated, the more confident a researcher can be that the independent variable produced the change (or effect) in the dependent variable.
For example the amount of money for women who work more and therefore want to have fun
Population
Everyone in the group the experimenter is interested in
Sample
Subset of the population
Selection bias
When participants in different groups in an experiment differ systematically.
For example when we are testing the condition of which women want to have fun and we assign two levels five hours and ten and then mesured, but we do not take into consideration that in our sample there may be older women that are from the start less likely to engage in fun seeking behaviors.
This problem can be circumvent by using random sampling to assign participants to different levels of the independent variables
Random assignment
The procedure for placing research participants into the conditions of an experiment in which each participant has an equal chance of being assigned to any level of the independent variable
What is a meta-analysis
This is an analysis of multiple analyses, or studies that have already being conducted.
Major research categories that span the levels of analysis
- Biological
- Individual
- Social
- Cultural