Research terms

select every kth unit k=N/n n=sample N=total pop

divide into strata and randomly select from each strata. called "proportional" or "quota"

divide into clusters. randomly select clusters. measure every one in cluster

selecting a group of people/objects (sample) from those you want to study (population)

non-probability. judgment and prior knowledge to choose people for the sample who would best serve the purpose of the stud

must have random assignment

not random assignment, but has control group

random assignment

exposure to stimulus

observation or measurement of some variable

the use of chance procedures in experiments to ensure that each participant has the same opportunity to be assigned to any given group(unit)

whether the independent variable actually does produce the effect it appears to have on the dependent variable

extent to which causal inferences made in an experiment can be generalized to other settings, times, groups of people

temporal precedence, covariation bet IV and DV, No alternate explanation

AB, ABA, ABAB & Multiple Baseline

low generalizability

Scientific research methods to assess the planning, implementation, oroutcome of social programs orclinical practices in a political env.

eval is shaped by sponsors and sponsors own it. judgemental quality

focuses on providing information to guide the planning, development, and implementation of a specific program.

focuses on effectiveness and efficiency of programs and extent to which the outcomes can be generalized

are constructs of concise, carefully worded statements that together provide a comprehensive structure of a change model

Provides a snapshot/roadmapof your program and how desired outcomes are achieved

produces findings, which are not arrived at by means of statistical procedures

group-oriented qualitative interviews with a facilitator

"get the people affected by a problem together, figure out what is going on as a group and then do something about it"

observations made of people in their natural settings as they go about their everyday life

prolonged engagement, thick description, disconfirming analysis, multiple coders, member checking, saturation, triangulation

describe or summarize the characteristic of our sample (e.g. mean, mode, sd)

draws inferences about what is happening in the population based on what is observed in a sample from that population

symmetrical distributions, this is the assumption of inferential statistics

chi-squared (categorical), correlation (continuous)

t-tests (IV dichotomous, DV Continuous) continuous, ANOVA (IV categorical, DV continuous)

the probability of obtaining a result at least as different from the expected result as a given data point

measure of dispersion. "s" this is the mean (average) spread of the scores from the mean.