Midterm Flashcards
Research questions should..
- Be Very Clear! neither to broad or too narrow
- Be Researchable
- Relate to established theory, research and each other.
- Allow the researcher to make a contribution to existing knowledge
Ideographic
Explanations involve rich descriptions of a person or a group
Explanation not meant to apply to persons or groups who were not part of a study.
Nomothetic Designs
Explanations involve cause and effect, expressed in terms of general laws and principles
Developed through particular (groups/regions etc.) research subjects and extrapolated to larger populations outside the study
Variables
Characteristics or attributes of data that vary or change
Causality in social research directly related to variables
Three criteria for evaluating social research
Reliability
Replicability
Validity
Replicability
- Results remain the same when others repeat all or part of a study
- The procedures used to conduct the research are sound
Reliablability
- Results remain the same each time same measurement technique used on the same subject (assuming that what is being measured has not changed)
- Results aren’t influenced by the research, the location, the timing etc.
Validity
•There is integrity to the conclusions
Measurement validity (or construct validity)
Ex: is the # of deaths recorded by Iraqi vital
Internal validity is concerned with issue of whether causation has been established by a particular study.
Ex:
Lincoln and Guba’s standard for qualitative research
Trustworthiness •Credibility (internal validity) •Transferability (external validity) •Dependability (reliability) •confirmability (replicability)
Two kinds of experiments
- Field experiments- conducted in real-life surroundings
- Laboratory experiments- take place in artificial environments
- controls research environment
- easier to randomly assign research subjects (systematic selection, everyone/thing has equal opportunity of being selected)
- enhanced internal validity as result
- easier to replicate
Experimental or Treatment group
receives a treatment or manipulation of some kind
Know “placebo” & “double blind experiment”
Control group
does not get the treatment or manipulation
Random assignment
participants are placed in the experimental or control group using a random method
Pre-test
Measurement of the dependant variable before the experiment manipulation
Post-test
measurement of the dependant variable after the experimental manipulation
Quasi- or ‘natural’ experiments
Naturally occurring phenomena or changes introduced by people who are not researchers result in experiment-like conditions.
- differ from true experiments- internal validity harder to establish
Cross-sectional designs
Involve taking observations at one point in time.
Do not include manipulation of the independent variable- no ‘treatment’
Examples: questionnaires. Structured interviews, etc.
Two or more variables are measured in order to detect patterns of association
Longitudinal designs
Cases examined at a particular time (T1), and again at a later time or times (T2, T3, etc.)
Provides information about the time-order of changes in certain variables.
Helps establish direction of causation
Panel study (Longitudinal designs)
the same people, households, organizations.
Drawbacks of longitudinal designs
Attrition over time
May be difficult to determine when subsequent waves of the study should be conducted.
Panel conditioning: people’s attitudes and behaviours may change as a result of participating in a panel
Case Studies
- A basic case study involves an in-depth study of a single case.
- A single case can be a person, family, organization, event, etc.
- Can involve qualitative and/or quantitative analysis
Two types of concept definitions
Nominal: describes concepts in words
Operational: describes how the concept is to be measured
Critical case study
illustrates conditions under which a certain hypothesis holds it does not hold. Ex: studying a person for whom certain counselling techniques are successful
What are Indicators?
- Indicators tell us that there may be a link and tell us how strong that link may be
- Usually, one indicator for each concept is adequate
- Sometimes it’s advantageous to use more than one indicator of a concept- this reduces likelihood of misclassifying question wording is vague /misunderstood
- gets access to a wider range of issues related to the concept
What is post-materialism?
When you grow up poor, over your lifetime you’ll be more likely to value material things, whereas when you grow up rich you begin to value less materialistic things such as the environment
Face validity
Established if, at first glance, measure appears to be valid
When Assessing concepts, reliability refers to…
- Stability of a measure over time
- Internal reliability: are multiple measure administered in one sitting consistent with each other?
- Inter-observer consistency: all observers should classify ehaviour or attitudes in the same way
Concurrent validity
Established if the measure correlates with some criterion thought to be relevant to the concept.
Construct validity
Established if the concepts relate to each other in a way that is consistent with the researchers theory.
Convergent validity
Established if a measure of a concept correlates with a second measure of the concept that uses a different measurement techniques
Measurement
Data are used to understand or quantify social phenomena, concepts and their interrelations, in general.
Establishing causality
Researchers want to know what causes social phenomena.
Ex: prejudice, crime, class, conflict, etc.
Generalization of findings
To those not studied
Ex: generate laws of social life: need representative samples for this.
Criticisms of quantitative research.
- People are social institutions are treated as if they are part of “the world of nature” (We can’t research humans as we wld nature. We have free will, and thought. For example, if someone knows they are a part of a study, they may act different.)
- Measurement process produces artificial and false sense of precision and accuracy
- Disjuncture between research and everyday life - can a survey really “get at” people’s real lives?
- Analysis of relationships between variables ignores people’s everyday experiences and how they are defined and interpreted.
- explanations for findings may not address perceptions of the people to whom the findings purportedly pertain
- researchers tend to assume an objective
Replication (of a study/studies)
if same methods used, provides check for biases and routine errors