AMDM vocab

Research Question

A question that states what a researcher will attempt to answer and that guides research design

Ha

Alternative Hypothesis

X

F. Sample mean

Ho

Null hypothesis

U

Population mean

Control Group

A group in an experimental study that does not receive a treatment

Placebo Effect

A phenomenon in which a person, who is receiving an inactive drug or treatment, experiences similar or the same effects as someone receiving the active drug or treatment

Alternative Hypothesis

A statement that proposes that something is different, incorrect, or changed from what is accepted or claimed

Double-blind study

A study in which neither the participants nor the researchers know which subjects are in the treatment group and which subjects are in the control

Blind Study

A study in which the participants do not know if they are in the control group or treatment group

Secondary Data

Data that has been collected by someone else and is available to the researcher

Primary Data

Data that is collected by conducting an experiment

Census

Every member of a population of interest is a participant

Null Hypothesis

Generally a statement of "no effect"' stating that there is no difference between what is claimed and what is measured

Variable of Interest

Measured result in an experimental study

Observational Study

Research in which data is collected, by observation or survey, about some characteristic of the population

Experimental study

Research in which the researcher separates participants into two or more groups, applies some sort of treatment, the compares the results

Treatment

Something that researchers administer to participants in an experimental study Something that researchers administer to participants in an experimental study

Population

The entire collection of items or subjects that are the focus of concern in a study

Simple Random Sampling

The researcher chooses the sample from the entire population through a randomization technique

Convenience Sampling

The researcher selects participants based on easy accessibility

Stratified Random Sampling

The researcher separates the population into a umber of strata and then takes a random sample within each stratum

Systematic Sampling

The researcher separates the population into evenly sized groups, randomly selects one participant in the first group, and then selects every nth participant

Cluster Sampling

The researcher separates the population into groups and then randomly selects some of these groups to participate