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Empirically validated Treatment or Empirically Supported treatment ✔✔When counselors do
integrate research into practice.
Correlation ✔✔Correlation is simply an association. It is not the same as causality. The
correlation between people who have an umbrella open and rain is very high, but opening your
umbrella does not cause it to rain.
Three types of correlations ✔✔Go from negative 1 to 0 to positive 1. Zero means no correlation
while positive 1 and negative 1 are perfect correlations. A negative .5 is not higher than a
correlation of -.5 In fact, a correlation of -.8 is stronger than a correlation of .5.
A positive correlation: when x goes up, y goes up. For example, when you study more, your
GPA goes up.
A negative correlation: when x goes up y goes down. For example, the more you brush your
teeth, the less you will be plagued by cavities.
Quantitative research ✔✔when one quanitifes or measures things. It yields numbers.
,Qualitative research ✔✔When does research does not use numberical data
Bubbles ✔✔When research has flaws
What is a true experiment? ✔✔Two or more groups are udes.
What is random sampling? ✔✔People are picked randomly and placed in groups using random
assignment.
Systematic sampling ✔✔where every nth person is chosen can also be used howere, researchers
stillprefer random sampling and random assignment
What is quasi-experimental research? ✔✔When the groups are not picked at random or the
researcher cannot control the IV then it is a quasi rather than a true experiment. quasi-
experimental research does not ensure causality.
What is the independent variable ✔✔The experimental group gets the IV and it is known as the
experimental variable.
,what is the DV or dependent variable? ✔✔the outcome data in the study is called the DV. If we
want to see if eating carrots raises one's IQ then eating carrots is the IV while the IQ scores at the
end of the study would be the DV.
Type I alpha error ✔✔When a researcher rejects a null hypothesis that is true.
Type II beta error ✔✔When a research accepts null when it should have been rejected.
What is significance levels in social science? ✔✔.05 or less (.01 to .001) The signifcance level
gives you the probability of a type 1 error.
N=1 ✔✔a single subject design or case study and thus does not rely on IV, DV, control group,
ect. Case studies are becoming more popular.
Demand characteristics ✔✔evident when subjects in a study have cues regarding what the
researcher deires or does not desire that influence their behavior. This can counfound an
experiment rendering the research inaccurate.
, An obtrustive or a reactive measure ✔✔if subjects know they are being observed. Observers'
presence can influence subject's behavior rather than merely the experimental variable or
treatment modality.
Unobtrusive measure ✔✔When subjects are not aware that they are being measured.
Internal vailidty ✔✔when an experimental has few flaws and thus findings are accurate. The IV
caused the changes in the DV, not some other factor (known as confounding extraneous
variables or artifacts). When internal vaility is low the researcher didn't measure what he thought
he measured.
External validity ✔✔it is high when the results in a study can be generalized to other settings.
A t test ✔✔a popular parametric test for comparing two means.
ANOVA or analysis of variance ✔✔Also called a one-way ANOVA. used when you have two or
means to compare. The t test and the ANOVA are parametric measures for normally distributed
populations. The ANOVA provides F values and the F test will tell you if significant differences
are present.