Research Design & Statistics

This measure of central tendency is the most frequently occurring data point in a distribution.

This is choosing a representative of the population being studied & makes results generalized to the whole pop.

This measure of central tendency is the middle score in a distribution.

This measure of central tendency is the mathematical average of a set of numbers.

A correlation is a measure to the extent to which two factors vary together/how well each factor predicts the other.

This measure of variation is a computed measure of how much scores vary around a mean score, shows are similar or varied

A normal curve (normal distribution) is most often displayed as this which shows scores fall near the mean & not extreme

This correlation is r= +.01 to +1.0, two sets of data rise or fall together; depicted as a slope.

Descriptive statistics include measures of central tendency (mean, median, mode) & measures of variation

This correlation is r= -.01 to -1.0, one set of data rises while the other set of data falls; depicted as a slope.

This is a descriptive technique when a researcher obtains self-reported attitudes of a group- a rep. random sample.

Reported as a p value, shows how likely a result occurred by chance.

This measure of variation is the difference between the highest & lowest scores in a distribution.

This is the outcome that is measured & may change on account of other variables.

Experimental validity refers to the extent to which a test/experiment measures what it is supposed to.

This is the factor/variable being manipulated/effect studied in an experiment.

Inferential statistics are numerical data that allow inferring the probability of something being true of a population.

This is placing participants in experimental & control groups by chance; assists with confounding variables/bias.

The term "population" usually refers to all those in a group being studied from which samples may be drawn.

Experiments are helpful in determining cause & effect, assisted by experimental controls.

This descriptive technique is when one individual (or group) is studied in depth to reveal universal principles.

This is an explanation using an integrated set of principles that organizes behavior & predicts events.

This is a factor other than the factor being studied; might influence a study's results.

This is a carefully worded statement of the exact procedures in a research study:

Correlation does not imply causation means:

This correlation is when one variable increases/decreases, the other variable increases/decreases randomly; no slope.

This descriptive technique involves recording behavior in naturally occurring situations without manipulation/controls.

This is a testable prediction often implied by an explanation using an integrated set of principles.

At minimum, there needs to be an experimental group & control group in an experiment research design.

A term meaning that an experiment can be repeated precisely as it was conducted the first time as confirmation.