Assessment & Testing Flashcards
Assessment
Processes and procedures for collecting information about human behavior
Appraisal (evaluation)
Going beyond assessment and making judgments about human attributes and behaviors.
3 measures of central tendency
- Mean or the arithmetic: average (M or X bar)
- Median: middle score in distribution
- Mode: most frequent score
Positive vs negative skew
Reference photo
Range
Highest score minus lowest score
(Inclusive range is same but then adding 1)
Standard deviation
Describes the variability within a distribution of scores.
(SD for a sample)
(Sigma for population)
Essentially the mean of all the deviations from the mean.
Variance
The square of the standard deviation
Normal curve (bell curve)
Distributes scores into 6 equal parts - 3 above the mean and 3 below
Percentile
75%. This score is higher than 74% of the scores. 25% of the scores are higher than this
Stanine
Standard 9
Split normal curve into 9 equal parts
5 in the middle standard deviation about 2
Standardized scores
Convert raw scores
Allow for direct comparison
Express a persons distance from the average
Z- score
Z = zero
Mean is 0 Standard deviation of 1
Range is -3 to 3
T-Score
T = 10
Standard deviation of 10 mean of 50
Correlation coefficient (r)
Ranges from -1.00 (perfect negative correlation) to 1 (perfect positive correlation)
Shows the relationship between two sets of numbers.
Bivariate correlation
Correlation between two variables
Multivariate correlation
A correlation between 3 or more variables
Reliability
Consistency of a test or measure
Extent to which a measure is free of error
Stability or test-retest reliability
Results of two administrations are correlated
2 weeks is a good time between tests administrations
Equivalence reliability
Alternative forms of the same test administered to the same group and then correlated
Internal consistency or split half reliability
Test divided into two halves
Correlation between two halves is calculated
May apply spearman-brown formula to determine how reliable test would be had you not split it
Internal consistency reliability
The more homogenous the items the more reliable the test
For dichotomous items (true-false or yes-no) use Kiser-Richardson formulas
For no dichotomous items (multiple choice or essay) use cronbachs alpha coefficient
True and error variance
tests are administered. Each one measures true variance (T1 and T2) and error variance (E1 and E2).
If the correlation between two tests or two forms of the same test is, for example, .90, then the amount of true variance measured in common is the correlation
squared (.902 = 81%).
See photo
Coefficient of determination vs coefficient of nondermination
r^2 is the degree of common variance between error and true variance for instance.
.90 is the correlation then squared it is .81 which is 81% and this is the coefficient of determination the remaining 19% is the coefficient of non determination and represents error variance.
Standard Error of Measurement (SEM)
Measure of reliability
Helps determine the range within which an individuals score probably falls