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131 Cards in this Set

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Theory of Measurement Error

Human error in measurement

Classical Test Theory

True score as opposed to the observed score - the difference between the two results due to measurement error

Domain sampling method

Ensuring enough questions in a test cover the relevant domain without sacrificing reliability

Item Response Theory

Use of computer algorithms to adjust test to taker's ability

Test Retest reliability

Test at two different times and correlate the two results

Parallel Forms reliability

Compare two equivalent forms of a test with the same attribute and correlate the two results

Split Half reliability

Take test results and divide them in half and correlate the two halves

Spearman-Brown formula

Allows to estimate the correlation between each half of a test if each half had been the whole length

Internal consistency

Do all the items in a scale correlate with overall test scores

KR20 formula

Test for internal consistency when items are dichotomous

Cronbachs alpha

Testing internal consistency when items are not dichotomous

Observer reliability

Counting the number of times a behaviour is observed and correlate with other observer data

Kappa statistic

The best method to assess level of agreement between observers on a nominal scale

Discriminability analysis

Each scale item should correlate with the overall scale

Correction for attenuation

Where a relationship between two variables may exist but cannot be determined because of Measurement Error

Construct Related Validity

Assembling evidence about what a test/construct means

Content Related Reliability

Does a test cover everything it's meant to measure?

Criterion related validity

How well a test correlates with a criterion

Construct underrepresentation

Not enough material in a test to capture important components of a construct

Construct irrelevant variance

Scores influenced by factors irrelevant to the construct

Concurrent validity evidence

Test and criterion measured at the same time

Predictive validity evidence

How well will someone perform later

Validity coefficient

Relationship between a test and a criterion (rarely higher than 0.6)

How is construct validity evidence established

Series of activities where a researcher defines a construct and a method to measure it

Convergent validity

Do all measures of one construct accurately measure it?

Divergent validity

Is a test unique and measure a construct more easily or accurately than other tests?

Dichotomous item format

Two responses (eg true or false)

Polytomous item format

Multiple choice

Distractor

Item on a multiple choice test that is incorrect


Ideal number = 3

Likert format

Considers the degree of agreement with or without a neutral option

Category item format

On a ten point scale, but often context dependent

Checklist

Checking off traits relevant to something or someone such as describing yourself

Q-Sort

Checklist whereby Ps sort statements into piles (9=exact, 1=not at all)

Expectancy Effects

Administrator biases that affect test takers' results

Reinforcing Responses

Responses from an administrator that bias test results

Subject variables

The state of the test taker

Stereotype Threat

Impact on test scores due to anxiety about perpetuating a stereotype

Expectancy effect

Administrator biases affecting test scores/performance

Structured interview

Follows strict questions and answers

Unstandardized interview

Relaxed and not strict with questions and answers

Directive interview

Interviewer takes lead

Nondirective interview

Interviewee takes lead

Selective interview

Meant for employment

Diagnostic interview

Intended to find out thoughts and emotions

Interpersonal influence

Social facilitation

Acting like those around us (if interviewer is stressed, interviewee is stressed too)

Interpersonal influence

How much can one influence another

Interpersonal attraction

How much respect people have for each other

Verbatim playback

Repeating what a participant has said to elicit more responses

Restatement

Paraphrasing what a participant has said

Summarizing

Summing up many participants responses

Clarification

Paraphrasing what a participant has said to clarify

Evaluation interview

Statements that point to discrepancies between what a person says and does etc

Structured clinical interview

Reliable set of questions in a particular order

Case history interview

Getting a complete history of an individual

Mental status exam

Intended to diagnose psychosis or brain damage, and looks at how a person is behaving or thinking

Active listening

Intending to give an understanding response

Halo effect

Tendency to judge based on first impressions

General standoutishness

When something stands out and colours all areas of assessment

Good estimate of test scores reliability with (structured) interview ratings

0.4

Level one response

No relation to interviewer response

Level 2 response

Superficial awareness of interviewer response

Level 3 response

Minimum level response to interviewer that shows awareness

Level 4--5 response

Provides empathy, interviewee adds significantly to the conversation

Information processing approach

Asks how we solve problems and learn from them

Cognitive approach

How do humans adapt to real world demands

Psychometric approach

Focuses on the elemental structure of a test (oldest way of studying intelligence)

Age differentiation

Mental ability of a child in terms of his/her completion of the tasks designed for an average child of a particular age

General mental ability

Measure only the total product of the various separate and distinct elements of intelligence

"g"

A measure of intelligence based on various factors and half the variance in mental ability scores

Gf-cf intelligence theory

Says that intelligence is made of two factors: fluid and crystallized intelligence

Three levels if intellectual disability from 1905 Binet Simon scale

Moron, imbecile, and idiot

Age scale

Items are grouped according to age vs level of difficulty

Three abilities stemming from modern Binet scale's g

Crystallized abilities, fluid-analytic and short term memory

What is crystallized abilities divided into in the modern Binet

Verbal and nonverbal reasoning

Basal

Minimum criterion number of correct responses

Ceiling

Certain number of incorrect responses indiciating items are too difficult

Four types of evidence supporting validity in 2003 edition of Binet

Content, construct, empirical item analyses and criterion related

How is the full IQ score determined in the 2003 Binet

Based on all ten tests (half verbal. Half nonverbal)

How does the WAIS conceptualize intelligence

Capacity to act purposefully and adapt to the environment

Three main differences between Binet and WAIS

Meant for adults; point scale usage; nonverbal scale usage

Four factor scores in WAIS

Verbal comprehension, perceptual reasoning, working memory, and processing speed

Three subscales in verbal comprehension

Similarities, vocabulary, information

Three subscales in perceptual reasoning

Block design, matrix reasoning, visual puzzle

Two subscales in working memory

Digit span and arithmetic

Two subscales in processing speed

Symbol search and coding

Index comparisons

Allows for observing multiple scores for the WAIS and discrepancies between them and helps for diagnostic purposes

Pattern analysis

Evaluating relatively large differences between subtest scaled scores on the WAIS and drawing conclusions based on mental wellbeing (should be done cautiously)

WAIS scaled scores mean and SD

Mean: 10


SD: 3

Three explanations for IQ Gap

Biological differences; socioeconomic status; tests are culturally biased

Differential validity

Validity for groups has different meanings for each

Differential item functioning analysis

Tries to identify items specifically biased against any group

Larry P vs Wilson Riles

Rules that tests are racially biased against blacks and are discriminatory impact on them

parents in action on special education vs Hannon

Rules tests are not discriminatory because they don't predict inaccurately

Chitling test

Tried to show that African American kids knew different info than whites (no predictive validity)

BITCH

Asks respondents to ID words relevant to African American culture and find Whites score lower (but no validity evidence and small sample size)

SOMPA

Believes all groups have same potential, looks at medical , social and pluralistic aspects (poor correlation with achievement)

Qualified individualism

We should select the best qualified people indifferent of race

Unqualified individualism

Selecting the best qualified people and account race if it helps find them

Quotas

Explicitly recognize race and select best qualified people based on how representative they are in the population

Two purposes of psychological tests

Research and clinical (applied)

Test items

Stimuli that can be scored and evaluated

Overt test response

Either right or wrong

Covert test response

Meant for projective tests

What do aptitude tests measure

Potential

What do achievement tests measure

What has already been learned

What was the first psychological test

Woodworth (for army recruits)

Inferential statistics

Taking a sample of a population and drawing conclusions from it

Type I error

Reporting an effect when none is there

Type II error

Not reporting an effect when one is there

Nominal scale

Categories of things

Ordinal scales

Ranks with magnitude but no absolute zero or equal intervals

Interval scale

Magnitude and equal intervals but no absolute zero

Ratio scale

Have magnitude, equal intervals and absolute zero

Percentile rank

Score where a certain percentage of the distribution falls below

Percentile point

Specific scores in the distribution below which a defined percentage of scores falls

Normed/Criterion referenced tests

Put up against people your own age or certain criteria, respectively

Regression line

The best possible fitting line through a set of points in a scatterplot

Goal of regression

Predict values of one variable given knowledge of another and reduce residuals

Regression coefficient

How much Y changes given each unit change of X

Covariance

How much two variables vary together

Coefficient of alienation

The remaining percentage left over when R2 is accounted for

Intercept

The value of Y when X is zero

Pearson's product moment

Two continuous variables

Spearmans Rho

Ranked ordinal variables

Biserial

Continuous and an artificial dichotomous variable

Point biserial

Continuous and true continuous variable

Phi coefficient

Two dichotomous variables one of which must be true

Tetrachoric correlation

Two artificial dichotomous variables

Standard error of estimate

Standard deviation of the residuals

Shrinkage

Amount of decrease in predictive power when a regression equation is used for a different sample than the one with which it was calculated

Restricted range

Loss of ability to detect a relationship when one or both variables are highly restricted in a range of variability