Chapter 3 Final Words Flashcards
Content analysis
What do people/ intuitions say.
Physiological measures
What does the body say, Involuntary measure (heart rate, pulse, hormones)
Instrumentation
Whatever you use to measure.
Ex- scale, speedometer
Stratified random sampling
Allows researcher to determine which categories need to be represented.
Ex- social support/ socioeconomic statues.
Categories: lower, middle and upper class.
Proportional stratified random sampling:
Random sampling based on their proportion in the population.
Ex: study on drinkers places drinkers into categories, heavy drinkers, moderate drinkers and non drinkers.
Cluster sampling
Sub groups that aren’t created but that naturally occur.
Ex- section where someone lives isn’t determined by the researcher so boroughs in New York (Brooklyn, queens, etc)
Snowball sample:
Having people go out and recruit others they know can participate in the study.
Network sampling:
Using social and other types of network to assess a desired sample.
Internal validity
Degree to which actual procedures are followed in a study. we want to make sure that variables of interest are responsible for results, not procedures.
One shot case study:
Subjects are presented w some treatment and then the outcome of the measure is applied. Goal is to determine if the treatment had any effect on the outcome.
Static group comparison design:
Two groups are chosen.
One receives treatment, the other does not, after..a post test score is used to determine to measure the difference after treatment between the two groups.
One group post test.
A company wants to know whether its employees benefited from a recent employee training conference (listed below as “intervention”). Following the implementation of the training conference, employees were given a short survey (posttest) to assess their satisfaction with the conference. The surveys were used to provide feedback and make changes to next year’s conference.
Time-series design:
Repeated measurements of a given behavior are taken across time at equally spaced intervals. Taking multiple measurements is essential for understanding how any given behavior unfolds over time, and doing so at equal intervals affords a clear investigation of how the dynamics of that behavior manifest at distinct time scales.
