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32 Cards in this Set

  • Front
  • Back

Variance

measure of the amount of variability of scores around the mean
Standard Deviation
measure of how much scores vary or deviate from the mean; the square root of the variance
Correlation Coefficient; gives four types
tells the degree of relationship between two variables; Pearson's r (continuous variables, linear relationship), Spearman r (ordinal variables), phi coefficient (nominal variables), point biserial coefficient (one ration variable and one nominal variable)
Standard Error of Estimate
measure of the accuracy of the predicted Y scores in a regression equation; it is the standard deviation of the error scores (or measure of the amount by which the observed score differ from the predicted scores)
Standard Scores
raw scores that have been transformed so that they have predetermined mean and standard deviation
Inferential Statistics
used in drawing inferences about a population based on a sample drawn from the population
Statistical Significance
refers to whether score differ from what would be expected on the basis of chance alone
Effect size; give approximate values for high, medium, low effect sizes
measures the degree or magnitude of a result; cohen's d = 0.20 (small), =0.50 (medium), = 0.80 (large)
Error Score
represents random factors that affect the measurement of the true score
Reliability Coefficient
ratio of true score variance to the observed score variance
The values for high to low reliability
high or excellent 0.90-0.99
good or moderately high 0.80-0.89
fair or moderate 0.70-0.79
low or poor 0.60-0.69
very low or very poor 0.00-0.59
Internal Consistency Reliability
The uniformity or homogeneity of test items
Test-Retest Reliability
Provides an index of the consistency or replicability of test scores over relatively short intervals
Alternate Forms (Parallel Forms) Reliability
Measures the extent of agreement of a group's scores on two forms
Interrater Reliability
Refers to the degree to which to raters agree
7 factors affecting reliability
test length
homogeneity of items
test-retest interval
variability of scores
guessing
variation in the test situation
sample size
Standard Error of Measurement
(aka standard error of a score); an estimate of the amount of error inherent in a child's score
Validity
refers to whether a test measures what it is supposed to measure
Content Validity
refers to whether the items within a test or other measure represent the domain being assessed (note the appropriateness of test items, completeness of item sample, the way in which the items assess the content of the domain)
Face Validity
refers to whether a test or measure looks valid "on the face of it"
Construct Validity
establishes the degree to which a test measures a specified psychological construct
Convergent Validity (one component of construct validity)
refers to how well measures of the same domain in difference formats, correlate with each other
Discriminant or Divergent Validity (one component of construct validity)
refers to the extent to which measure of different domains do not correlate with each other

Criterion-related Validity

based on how positively test scores correlated with some type of criterion or outcome (such as ratings, classifications, test scores)
Concurrent Validity (one form of criterion-related validity)
based on correlations of scores on one measure with those on a related measure
Predictive Validity (one form of criterion-related validity)
based on correlations of score on one measure with those on a criterion measure taken at a later time
Predictive Power
special kind of predictive validity - assesses the accuracy of a decision made on the basis of a given measure; refers to the extent to which a test or measure agrees with an outcome criterion measure used to classify individuals or determine if they have a particular trait
3 factors affecting validity
range of attributes being measured
length of interval between administration of the test and of the criterion measure
range of variability in the criterion measure
Hawthorne Effect
subjects improve or modify an aspect of their behavior being experimentally measured simply in response to the fact that they know they are being studied, not in response to any particular experimental manipulation
Flynn Effect
the substantial and long-sustained increase in intelligence test scores measured in many parts of the world from roughly 1930 to the present day
Regression to the Mean
phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on its second measurement—and, paradoxically, if it is extreme on its second measurement, it will tend to have been closer to the average on its first

Attenuation Effect

happens when a client is given numerous rating scales or interview questions and starts to under report symptoms just because they have had so many similar questions asked about the same thing.