Terms
Define survey design (p.1)
A quantitative description of trends, attitudes, or opinions of a population by studying a sample of that population
What is the purpose of survey research (p.3)
To generalize from a sample to a population so inferences can be made about some characteristic, attitudes, or behavior of this population.
What are the four components that make up the form of an experimental method discussion? (p.13)
Participants, materials, procedures, and measures
Define quasi experiment (p.14)
When individuals in an experiment are not randomly assigned
What can a confidence interval tell us about a result? (p.11)
It tells us how good an estimated score might be. How accurate an estimated data point will fair when tested.
Describe the selection process for participants in a study (p.14)
Can be random or non-random. Non-random would be a quasi-experiment, random would be a true experiment. With random sampling each individual ahs an equal chance of being selected from the population.
Define response bias (p.8)
The effect of nonresponses on survey estimates
These things need to be defined as either independent or dependent and described specifically to the reader for an experimental procedure (p.15)
Variables
Identify 2 experimental designs (not quasi or true) (p.16)
Pre-experimental design and single-subject design. Pre-experimental a researcher observes a single group and intervenes. Single-subject design observing the behavior of a single individual.
Define effect size (p.11)
An effect size is a quantitative measure of the magnitude of a phenomenon.
Describe external validity threats (p.22)
External validity threats happen when experimenters draw incorrect inferences from the sample data to other people, other settings, and past or future situations. These threats arise because of the characteristics of individuals selected for the sample, the uniqueness of the setting, and the timing of the experiment.
Talk about forms of data collection (p.3)
Mail, telephone, internet, personal interviews, or group administration.
Define statistical significance (p.11)
The likelihood that the difference between a given variation and the baseline (an outcome in an experiment) is not due to random chance
Is there value in the author of an experiment refuting their own results?
Yes: the treatment implemented did not make a difference (wont be used again), results can be used as a baseline for more conclusive work
No: the results cannot be used in further research, no new knowledge is gained, discredits the work
Describe how to interpret results (p.24)
Address whether hypotheses were supported or refuted. Identify whether treatment made a difference for participants. Suggest why results were significant, and address why results could've occurred because of inadequate experimental procedures. Indicate implications of results for the population and future research.