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AP Psychology Unit 0.4, 0.5,
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correlation
a measure of the extent to which two factors vary together, and thus of how well either factor predicts the other
correlation coefficient
a statistical index of the relationship between two variables (from −1.00 to +1.00)
variable
anything that can vary and is feasible and ethical to measure
scatterplot
a graphed cluster of dots, each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables. The amount of scatter suggests the strength of the correlation (little scatter indicates high correlation).
illusory correlation
perceiving a relationship where none exists, or perceiving a stronger-than-actual relationship
regression towards the mean
the tendency for extreme or unusual scores or events to fall back (regress) toward the average
expirement
a research method in which an investigator manipulates one or more factors (independent variables) to observe the effect on some behavior or mental process (the dependent variable).
experimental group
in an experiment, the group exposed to the treatment — that is, to one version of the independent variable.
control group
in an experiment, the group not exposed to the treatment; contrasts with the experimental group and serves as a comparison for evaluating the effect of the treatment.
random assignment
assigning participants to experimental and control groups by chance, thus minimizing preexisting differences between the different groups.
single blind procedure
an experimental procedure in which the research participants are ignorant (blind) about whether they have received the treatment or a placebo.
double blind procedure
an experimental procedure in which both the research participants and the research staff are ignorant (blind) about whether the research participants have received the treatment or a placebo.
placebo effect
experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition, which the recipient assumes is an active agent.
independent variable
factor that changes, who’s effect is being studied
dependent variable
factor that does not change, outcome that is measared
cofounding variable
in an experiment, a factor other than the factor being studied that might influence a study’s results.
expirementer bias
bias caused when researchers may unintentionally influence results to confirm their own beliefs
validity
the extent to which a test or experiment measures or predicts what it is supposed to
quantitative research
a research method that relies on quantifiable, numerical data
qualitative research
a research method that relies on in-depth, narrative data that are not translated into numbers
informed consent
giving potential participants enough information about a study to enable them to choose whether they wish to participate.
debriefing
the post experimental explanation of a study, including its purpose and any deceptions, to its participants
descriptive statistics
numerical data used to measure and describe characteristics of groups; include measures of central tendency and measures of variation
histogram
a bar graph depicting a frequency distribution
mode
the most frequently occurring score(s) in a distribution
mean
the arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores
median
the middle score in a distribution; half the scores are above it and half are below it
percentile rank
the percentage of scores that are lower than a given score
skewed distribution
a representation of scores that lack symmetry around their average value
range
the difference between the highest and lowest scores in a distribution
standard deviation
a computed measure of how much scores vary around the mean score
normal curve
a symmetrical, bell-shaped curve that describes the distribution of many types of data
inferential statistics
numerical data that allow one to generalize — to infer from sample data the probability of something being true of a population
meta-analysis
a statistical procedure for analyzing the results of multiple studies to reach an overall conclusion
statistical significance
a statistical statement of how likely it is that a result (such as a difference between samples) occurred by chance, assuming there is no difference between the populations being studied.
null hypothesis
an assumption that no difference exists between groups
effect size
the strength of the relationship between two variables. The larger the effect size, the more one variable can be explained by the other