chapter 4 Flashcards
Steps in scientific method
- Define problem and hypothesis
- Choose and implement method
- Collect and analyze data
- Draw conclusions
Hypothesis:
statement predicting what will happen is a study
Null hypothesis:
prediction that there is no relationship between phenomena
Variables:
factor that can vary (dependent or independent)
Operationalization:
the way we measure and manipulate variables (ex: how they are defined for that study
Case studies:
detailed history of unique individuals with a psychological disorder
Advantage/Disadvantages of case studies
Advantage:
- Able to study rare problems
Disadvantages:
- Cannot be generalized to larger population
- Lacks objectivity because different researchers might notice or treat patient in different ways
Correlational study:
examines the relationship between an independent and dependent variable (without variable manipulation)
Continuous:
two or more continuous variables measured
Group Comparison:
two or more groups compared on a variable
Cross sectional:
participants assessed at one point in time
Statistical significance:
- Index of how likely a result is due to chance
- p<.05 is the goal which means that the probability is less than 5/100 that the result occurred by chance
Longitudinal:
participants assessed more than once over time
Third variable problem:
an unmeasured third variable that is associated with independent and dependent variables that may be affecting the results
Random sample:
every person in population has equal chance of being selected
Sample:
group of people taken from population we want to study
Representative Sample:
highly similar or representative of population we are studying
Comparison Group:
participants should match the treatment group in every variable except the one being tested for
Advantages/disadvantages of correlational research
Advantages:
- focus on real world situations not lab ones
- Longitudinal designs determine differences between groups before event occurs
- Ensures differences cause event and event does not cause differences
- Good external validity
Disadvantages:
- Longitudinal studies are expensive and time consuming
- Cannot infer causation
- Third variable problem
Epidemiological studies:
a study of frequency and distribution of a disorder