AP PSYCH 1.2 Research Methods in Psychology
- Research is done in many ways to solve different problems
- All methods listed here may present correlations, but do not imply causation
- Two things may follow the same trend, but that does not necessarily mean that one affects the other
Surveys
- Questionnaires that gather data on what people think or have done
- Data is raw and needs to be processed before it can become useful
- Gathers lots of âsurfaceâ data
Strengths
- Gathers large amounts of data quickly
- Easy and cheap
- Data is processed easily and can be turned into information
- Can study sensitive topics because it allows for anonymity
Weaknesses
- Participants can lie
- Participants can misunderstand the question or prompt
- Wording effect: Questions can be written in a way that affects the participants perception and therefore response
- Cannot easily ask follow-up questions
Case Study
- The opposite of surveys
- Gathers lots of deep data about a specific individual or group
Strengths
- Can provide more context
- Follows participants through time, not just a moment
- Chronological data
Weaknesses
- Time consuming to gather such detailed data about peopleâs lives
- Hard to conduct and expensive
- Hard to get approved
- Privacy/ethics concerns
- Drop outs can be catastrophic
- Canât assume causality
- May not be generalizable
Naturalistic Observation
- People who know theyâre being observed may not act normally
- Going into an environment undetected is a good way to gather veritable data
Strengths
- Allows for authentic data
- Participants canât react to observerâs presence, assuming they donât know theyâre being watched
- May allow for ârealâ treatment
Weaknesses
- Privacy and ethical concerns
- May ignore informed consent
- Lack of âcontrolâ
- Results can only be descriptions, not explanations or deeper insight
Cross Sectional and Longitudinal
- These studies are not research methods but rather ways in which research can be conducted
Cross Sectional
- Compared different groups
- Gathers data from one point in time
- Snapshot, doesnât give full picture or context
Longitudinal
- Follows one group
- Gathers data over a long time
- Questions about generalizability
- Good for questions of development (Unit 6)