Chapter 2: Research Methods Flashcards
Hypothesis
A testable prediction about the relationship between two or more variables.
- an essential feature of a hypothesis or research question is that it is testable; some questions are difficulty to determine what data would constitute suitable evidence
Research Question
If there is insufficient information about the phenomenon to allow the researcher to generate a specific hypothesis, they may instead propose a more general research question that clearly specifies the variables of interest but does not make specific predictions about the associations among them.
- an essential feature of a hypothesis or research question is that it is testable; some questions are difficult to determine what data would constitute suitable evidence
Operational Definition
It is an exact specific, and concrete definition of how the researcher chose to conceptualize and measure the variable.
Multi-Operationalize
Employ multiple measures of the variables included in the study. Multioperationalize increases the probability that a variable’s meaning will be appropriately and completely “captured.”
- there is often no perfect method for operationally defining a variable.
Research Strategy
How to go about implementing your investigation - you need to select a research strategy. A research strategy concerns how the researchers decide to investigate a research question or hypothesis (i.e., how they frame the research question).
- Is the researcher interested in describing or illustrating a particular interpersonal event or phenomenon?
- Or establishing whether two variables are related or associated with one another?
- Or determining what causes a specific relational outcome?
Descriptive Research
In descriptive research, no variables are manipulated, and the researcher often has not set out to specifically investigate a particular relationship among variables; rather, they are simply interested in describing people’s behaviour. It is common for free response data to be coded by the researcher and reduced to quantitative (numeric) form. There are different types of descriptive research:
- naturalistic or observational studies
- survey research
- archival research
Because the researcher has no control over the participant or the research situation, they cannot make causal inferences.
Naturalistic Studies
Involve detailed observation of a participant sample in a natural or real-world setting.
- naturalistic or observational studies often have high external validity
- must develop a coding system, select a suitable setting, and decide the behaviour of interest
Survey Research
Involves designing and administering a questionnaire to a sample of people in order to assess and describe their beliefs, attitudes, behaviours and so forth.
Challenges to Survey Research
- must maximize response rates so that no biases will be introduced into their results
- concerns regarding the construction of the questionnaire; i.e., researchers must be very sensitive to the way in which questions are phrased and the type of response options allowed to participants
Archival Research
It involves using data that were gathered by others.
- Public archives and statistical abstracts provide data on marriage, divorce, births and deaths, and other important interpersonal events.
- newspapers, journals, and diaries are other sources of information about close relationships.
Challenges to Archival Research
- can be extremely laborious
- existing records may be difficult to locate and/or inaccurate
- the researcher is limited to the data at hand and, therefore cannot ask additional questions or obtain further clarification of responses
External Validity
This means that the results are reflective of what actually occurs in the “real world.”
Correlational Research
Involves measuring variables and looking for evidence of an association between them; used to determine if variables covary - a useful strategy when the researcher is dealing with variables that cannot be directly manipulated or controlled.
`Positive Correlation / Negative Correlation
Positive: means that the variables covary positively; as scores on one variable (X) increase, so do scores on the other variable (Y).
Negative: means that the variables covary negatively; as the scores on one variable (X) increase, the scores on the other variable (Y) decrease.
Zero Correlation
This means that the variables are unrelated; there is no evidence of a significant association between them.