Research

Front 1

Df: protocol analysis

Back 1

Having an individual think aloud while solving a problem then evaluating the transcipt to identify the individual's problem-solving process.

Front 2

Df: Proband

Back 2

Also called the "index case."

The affected individual who is of immediate concern or who was initially identified b/c of his/her d/o

Front 3

What is the standard correction for testing formula?

Back 3

Corrected score = (R)-(W/n-1), were R = the # of right answers, W= the number of wrong answers and n = the number of choices per answer

Front 4

What is the Kappa statistic used for?

Back 4

Inter-rater reliability

Front 5

What 3 pieces of information does the item response curve provde?

Back 5

Difficulty, ability to discriminate between those who are high and low on the characteristic being measured and the probability of answering the question correctly by guessing.

Slope of the curve indicates discriminability (steeper slope the better the item discriminates between those who are high and low on the characteristic being measured).

Position of the curve indicates difficulty level.

Front 6

APA General Guidelines for Providers or Psychological Services require that "professional psychologist" have?

Back 6

Doctoral degree in psychology from an accredited university or professional school

Front 7

What stats do you need construct a confidence interval around a score?

Back 7

The standard error of measurement to and from the examinee's test scores. The standard error of measurement is calculated from the standard deviation and reliability coefficient.

Front 8

Define "communality"

Back 8

A term related to factor analysis. The total amount of variability accounted for in a test by identified factors and is a reflection of the amount of varince that the test has in common with the other measures included in the factor analysis

Front 9

What is the Correction for attenuation formula and what does it tell you?

Back 9

Is used to estimate a test's validity coefficient when the reliability coeffient for the predictor and/or criterion has been increased to 1.0.

Increasing the reliability coefficient to 1.0 means that measurement error has been entirely removed. The correction for attenuation formula estimates the validity coefficient when measurement error in the predictor and or criterion has been eliminated.

Front 10

What are three characteristics of the relationship between a measure's reliability coefficient and the correlation with another measure (validity coefficient).

Back 10

Even with high reliability a measure may correlate with a higher measure than with itself.

If a measure has a near 0 reliability the correlation with the measure will necessarily be low because of the ceiling that reliabilty places on a measures correlation with another measure.

The validity coefficient cannot exceed the square root of the reliability coefficient.

Front 11

Differential validity

Back 11

the tests ability to accurately predict performance on ONE behavioral dimension.

Front 12

In an ANOVA (one-way or more) what scales do the IV and DV have to be on?

Back 12

Interval or ratio
Not acceptable to treat a ordinal variable as an interval or ratio variable.

Front 13

What is weighted when computing a multiple regression equation?

Back 13

In direct proportion to its correlation with the criterion and in inverse proportion to its correlation with the other predictors in the test battery.

Front 14

Df: Experimenter expectancy effect

Back 14

Occurs when the experimenters behavior biases the research results in some way so that the results are consistent with the research hypothesis.

Researcher more often checks results that seem to conflictg with her hypothesis than results that confirm it.

Front 15

How do you increase the power in an experiment?

Back 15

Power is 1-beta
Power is the probability of correctly rejecting a false null hypothesis. The sensitivity of an experiment- significant differences do exist between groups a powerful experiment will be sensitive enough to detect these differences.

Increasing the magnitude of the IV would increase experimental variance by increasing the difference between the experimental and control. This would increase power or the ability to detect the effects of a new learning procedure performance you are more likely to detect it's effects if you administer the learning procedure to the experimental grp subjects for 6 weeks rather than 1 wk.