Glossary: Research
Acculturation
Refers to the process of adapting to another culture, involving changes in language, behavior, values, and social customs as individuals or groups integrate into a new cultural environment. It can particularly refer to blending in with the majority population, as an immigrant might adopt American customs. Acculturation implies that both cultures add something to one another, but still remain distinct groups unto themselves.
Accuracy
A term used in survey research to refer to the correctness of a match between the target population and the sample; the extent to which a target population is represented by the sample under investigation.
Adverse Event
An adverse event can be any unfavorable and unintended sign, symptom, or disease temporarily associated with the use of a drug, or intervention without any judgment about causality or relationship to the drug or intervention.
Affective Measures
procedures or devices used to obtain quantified descriptions of an individual's subjective feelings or affect in determining their responses, feelings, emotional states, or dispositions.
Aggregate
A collection, combination, or summary of individual units. For instance, the population of a country is an aggregate of the populations of the cities, rural areas, etc. that comprise the country. As a verb, it refers to total data from smaller units into a large unit.
ANCOVA (Analysis of Covariance)
A statistical technique used to compare group means while accounting for the influence of one or more continuous variables, known as covariates. ANCOVA extends the analysis of variance (ANOVA) framework by analyzing differences between dependent variables.
Anonymity
A research condition in which no one, including the researcher knows the identities of the research participants.
ANOVA (Analysis of Variance)
A method of statistical analysis broadly applicable to a number of research designs, used to determine differences among the means of two or more groups on a variable. The independent variables are usually nominal, and the dependent variable is usually an interval.
Apparency
Clear, transparent, or intuitiveness of data representations, using methods such as visualizations or summaries. It pertains to how easily and readily interpretable the data are to the audience or users.