Task 6 Flashcards
Sample
small subgroup/subpopulation chosen from the population.
Representativeness: a representative sample closely matches the characteristics of the population.
Biased sample: ratio of the two samples does not approximate that of the population.
Generalization
ability to apply findings from a sample to a larger population. This increases the external validity of the study.
Nonrandom sampling
used due to convenience, but they often differ from the general population, this may limit the ability to generalize and the external validity.
→ This is the standard procedure for animal research.
Lab research
bringing participants into a lab environment that you created. Two ways of acquiring participants:
1. Ask for participants from whatever participant population is available.
2. Use a subject pool if this exists.
Participation must always be voluntary.
- When one is concerned with the loss of generality, they could use a simulation of a real-world situation. The researcher retains control over variables while studying the behavior under relatively realistic conditions. It is also less expensive and time-consuming than studying behavior in a field setting.
Field research
conducting research in the participant’s natural environment.
Method of acquiring participants is dependent on the study.
Generally less control over who participates than in a lab.
Volunteer bias
volunteers differ from nonvolunteers, this affects the external validity of research.
- participant related characteristics (education level, gender, etc.)
- situational factors (stress from study, incentives for participants, etc.)
Volunteerism: internal validity
may affect inferred causality –> closely relates to internal validity
- desire to please experiment may cause attitude change
Volunteerism: external validity
may affect the ability to generalize the results
solutions for volunteerism
- make appeal interesting + non-threatening
- state the theoretical and practical importance
- monetary/gift rewards
- request made by person of higher status
- avoid stressful research
etc.
Random sampling
every member of the population has an equal chance of appearing in the sample.
Stratified sampling
provides a way to obtain a representative sample and make sure each segment of the population is represented.
- Divide the population into segments or “strata”
- Select a separate random sample of equal size from each stratum.
Proportionate sampling: variant of stratified sampling, proportions of people in the population are reflected in your sample.
Stratification and proportionate sampling can be done after collecting a sample.
Systematic sampling
sampling every nth element from a population after a random start
Cluster sampling
make sampling more manageable, identify naturally occurring groups and randomly select a certain cluster.
Saves time and is an acceptable, cost-effective method of acquiring a sample
Limits your sample to those participants found in the chosen clusters (possibility of leaving out important information)
Multistage sampling: variant of cluster sampling → identify large clusters and randomly select individual elements
This method can be combined with stratification procedures to ensure the representative sample
Sample size
one should try to select an economic sample –> enough participants to ensure validity, but no more than that
consider:
1. amount of acceptable errors
2. expected magnitude of the population proportions
Internal validity
ability of your research design to adequately test the hypothesis it was designed to test.
threatened by:
- rival hypothesis
- confounding
- history
- maturation: change in performance due to age/fatigue
- testing
- instrumentation
- statistical regression: subjects selected for treatment on the basis of their extreme scores tend to move closer to the mean on retesting (regression to the mean)
- biased selection
- experimental mortality
enhancing validity
- carefully plan
- identify plausible rival hypotheses
- redesign if necessary