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Psychological Testing & Measurement > Chapter 4: Of Tests and Testing > Flashcards

Chapter 4: Of Tests and Testing Flashcards

1
Q

Assumptions about Psychological Testing and Assessment

A

Psychological Traits and States Exist
Psychological Traits and States can be Quantified and Measured
Test-Related Behavior Predict Non-Test-Related Behavior
Tests and Other Measurement Techniques Have Strengths and Weaknesses
Various Sources of Error are Part of the Assessment Process
Testing and Assessment Can be Conducted in a Fair and Unbiased Manner
Testing and Assessment can Benefit Society

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2
Q

Trait

A

Any distingishable, relatively enduring way in which one individual varies from one another

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3
Q

States

A

Distinguish one person from another but are relatively less enduring;

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4
Q

Psychological Trait

A

Examples are traits that relate to intelligence, specific intellectual abilities, cognitive style, adjustment, interests, attitudes, sexual orientation and preferences, psychopathology, personality in general and specific personality traits

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5
Q

Androgynous

A

Referring to an absence of primacy of male or female characteristic

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6
Q

Liberated

A

Freed from constraints of gender-dependent social expectations

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7
Q

New Age

A

Refers to a particular nonmainstream orientation to spirituality and health

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8
Q

Construct

A

An informed, scientific concept developed or constructed to describe or explain behavior; cannot be seen, heard or touched but existence can be inferred from overt behavior

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9
Q

Overt Behavior

A

Refers to an observable action or the product of an observable action, including test- or assessment-related responses

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10
Q

Relatively Enduring

A

Reminder that a trait is not expected to be manifested in behavior 100% of the time; important to be aware of the context or situation in which a particular behavior is displayed

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11
Q

Definition of Trait and State

A

Refer to a way in which one individual varies from another;

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12
Q

Reference Group

A

Can greatly influence one’s conclusions or judgments

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13
Q

Weighing a Comparative Value of a Test’s Items

A

Comes about as a result of a complex interplay among many factors, including technical considerations, the way a construct has been defined for the purposes of the test, and the value society (and the test developer) attaches to the behaviors evaluated

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14
Q

Test Score

A

Presumed to represent the strength of the targeted ability or trait or state and is frequently based on cumulative scoring

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15
Q

Domain Sampling

A

Refer to either a sample of behaviors from all possible behaviors that could conceivably be indicative of a particular construct or a sample of test items from all possible items that could conceivably be used to measure a particular construct

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16
Q

Forensic Matters

A

Psychological tests may be used to postdict behavior

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17
Q

Postdict

A

To aid in the understanding of behavior that has already taken place

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18
Q

Competent Test Users

A

Understand how a test was developed, the circumstances under which it is appropriate to administer the test, how the test should be administered and to whom, how the test results should be interpreted; understand and appreciate the limitations of the tests they use as well as how those limitations might be compensated for by data from other sources

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19
Q

Error in Assessment

A

Something that is more than expected; actually a component of measurement process; refers to a long-standing assumtion that factors other than what a test attempts to measure will influence performance on the test

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20
Q

Error Variance

A

The component of a test score attribtable to sources other than the trait or ability measured

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21
Q

Sources of Error Variance

A

Assessess themselves; Assessors, Measuring Instruments

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22
Q

Classical or True Score Theory of Measurement

A

EAch testtaker has a true score on a test that would be obtained but for the random action of measurement error

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23
Q

Characteristics of a Good Test

A

Reliability and Validity

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24
Q

Reliability

A

Involves consistency of the measuring tool: the precision with which the test measures and the extent to which error is present in measurements; the perfectly reliable measuring tool consistently measures in the same way; it yields the same numerical measurement every timeit measures the same thing under the same conditions

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25
Q

Validity

A

It measures what it’s supposed to measure; focuses on items that collectively make up the test;

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26
Q

Norms

A

Provide a standard with which the results of a measure ment can be compared

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27
Q

Norm-Referenced TEsting and Assessment

A

A method of evaluation and a way of deriving meaning from test scores by evaluating an individual testtaker’s score and comparing it to scores of a group of testtakers; common goal is to yield information on a testtaker’s standing or ranking relative to some comparison group of testtakers

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28
Q

Norm

A

Refers to behavior that is usual, average, normal, standard, expected, or typical

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29
Q

Norms in Psychometric Context

A

Test performance data of a particular group of testtakers that are designed for use as a reference when evaluating or interpreting individual test scores

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30
Q

Normative sample

A

Group of people whose performance on a particular test is analyzed for reference in evaluating the performance of individual testtakers

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31
Q

Norming

A

Refers to the process of deriving norms; may be modified to describe a particular type of norm derivation

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32
Q

User/Program Norms

A

Consist of descriptive statistics based on a group of testtakers in a given period of time rather than norms obtained by formal sampling methods

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33
Q

Test Standardization/Standardization

A

Process of administering a test to a representative sample of testtakers for the purpose of establishing norms

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34
Q

Standardized Test

A

Has clearly specified procedures for administration and scoring, typically includes normative data

35
Q

Sampling

A

Targetting some defined group as the population for which the test is designed

36
Q

Types of Norms

A 
Age Norms
Grade Norms
National Norms
National Anchor Norms
Local Norms
Norms from a Fixed Reference Group
Subgroup Norms
Percentile Norms
37
Q

Percentile

A

Expression of the percentage of people whose score on a test or measure falls below a particular raw score; popular way of organizing all test-related data, including standardization sample data

38
Q

Percentage Correct

A

Refers to the distribution of raw scores-more specifically, to the number of items that were answered correctly multiplied by 100 and divided by the total number of items

39
Q

Age-Equivalent Scores/Age Norms

A

Indicate the average performance of different samples of testtakers who were at various ages at the time the test was administered

40
Q

Grade Norms

A

Developed by administering the test to representative samples of children over a range of consecutive grade levels; the mean or median for each level is calculated; Do not provide information as to the content type of items that a student could or could not answer correctly

41
Q

Developmental Norms

A

A term applied broadly to norms developed on the basis of any trait, ability, skill, or other characteristic that is presumed to develop, deteriorate, or otherwise be affected by chonological age, school grade, or stage of life

42
Q

National Norms

A

Derived from a normative sample that was nationally representative of the population at the time the norming study was conducted; May be obtained by testing large numbers of people representative of different variable of interest such as age, gender, racial/ethnic background, socioeconomic strata, geographical location, and different types of communities within the various parts of the country

43
Q

National Anchor Norms

A

Provide norms provide some stability to test scores by anchoring them to other test scores

44
Q

Equipercentile Method

A

Method by which such equivalency tables or national anchor norms are established which begins with the computation of percentile norms for each of the tests to be compared

45
Q

Subgroup Norms

A

Segmentation of a normative sample by any of the criteria initially used in selecting subjects for the sample

46
Q

Local Norms

A

Provide normative information with respect to the local population’s performance on some test

47
Q

Fixed Reference Group Scoring System

A

Distribution of scores obtained on the test from one group of testtakers (fixed reference group) is used as the basis for the calculation of test scores for future administrations of the test

48
Q

Anchoring

A

A procedure that permits the conversion of raw scores on the new version of the test into fixed reference group scores

49
Q

Norm-Referenced Scores

A

Approach to evaluation which seeks to derive meaning from a test score by evaluating the test score in relation to other scores on the swame test

50
Q

Criterion

A

Standard on which a judgment or decision may be based

51
Q

Criterion-Referenced Testing and Assessment

A

Defined as a method of evaluation and a way of deriving meaning from test scores by evaluating an individual’s score with reference to a set standard; focus is on how scores relate to a particular content area or domain

52
Q

Correlation Coefficient

A

Number that provides us with an index of the strength of the relationship between two things;

53
Q

Correlation

A

Expression of the degree and direction of correspondence between two things; does not illustrate a causal relationship but there is an implication of prediction; if we know that there is a high correlation between X and Y, then we should be able to predict with various degrees

54
Q

Coefficient of Correlation (r)

A

Expresses a linear relationship between two (and only two) variables, usually continuous in nature; reflects the degree of concomitant variation between variable X and variable Y; numerical index that expresses this relationship; tells us the extent to which X and Y are correlated; interpreted by sign and magnitude

55
Q

Correlation

A

Positive Correlation
Negative Correlation
None

56
Q

Magnitude of Correlation Coefficient

A

udged by its absolute value; the extent can be as low as -1 to as high as +1; this would mean that the correlation is perfect, without error in the statistical sense

57
Q

Positive Correlation

A

When two variables simultaneously increase or simultaneously decrease

58
Q

Negative (Inverse) Correlation

A

When one variable increases while the other variable decreases

59
Q

Zero Correlation

A

No relationship exists between the two variables

60
Q

Pearson Correlation Coefficient/Pearson Product-Moment Coefficient of Correlation/Pearson r

A

Devised by Karl earson; r can be the statistical tool of choice when the realtionship between the variables is linear and when the two variables being correlated are continuous (That they can take any value); formula takes into account the relative position of each test score or measurement with respect to the mean of the distribution

61
Q

Pearson r Computation

A

If the negative standard score values for measurements of X always corresponded wth negative standard score values for Y scores, the resulting r would be positive (multiplying two negative values will result in a positive number); if positive standard score values on X always corresponded with negative standard score values for Y and vice versa, then an inverse relationship would exist and so a negative correlation would result; should only be used when the relationship between the variables is linear

62
Q

Zero or Near-Zero Correlation

A

Could result when some products are positive and some are negative

63
Q

What to do with Pearson r

A

Ask Is this number statistically significant given the size and nature of the sample?
Ask Could this result have occured by chance?
Significance at the .01 level tells you, with reference to these data, that a correlation such as this could have been expected to occur merely by chance only one time or less in a hundred if X and Y are not correlated in the population

64
Q

Significance Levels

A

.05 provides the basis for concluding that a correlation does indeed exist; means that the result could have een expected to occur by chance along five times or less in a hundred

65
Q

Coefficient of Determination (r2)

A

Indication of how much variance is shared by the X- and the Y-variables; The remaining variance of the r2 (1-r2) could presumably be accounted for by chance, error, or otherwise unmeasured or unexplainable factors

66
Q

Moment

A

Describes a deviation about a mean of a distribution

67
Q

Deviates

A

Individual deviations about the mean of a distribution ; first moments of the distribution

68
Q

Moments Squared

A

Second moments of the distribution

69
Q

Moments Cubed

A

Third moments of the distribution

70
Q

Spearman’s Rho/Rank-Order Correlation Coefficient/Rank-Difference Correlation Coefficient

A

Developed by Charles Spearman; frequently used when sample size is small (fewer than 30 pairs of measurements) and especially when both sets of measurements are in ordinal (or rank-order) form; special tables are used to determine if an obtained rho coefficient is or is not significant

71
Q

Graphic Representations of Correlation

A

Bivariate Distribution
Scatter Diagram
Scattergram
Scatterplot

72
Q

Scatterplot

A

Simple, graphing of the coordinate points for values of the X-variable (horizontal axis) and the Y-variable (vertical axis); provide a quick indication of the direction and magnitude of the relationship, if any, between the two variables

73
Q

Direction of the Curve

A

Helps distinguish positive from negative correlations

74
Q

Degree to Which the Points form a Straight Line

A

Helps estimate the strength of magnitude of the correlation

75
Q

Curvilinearity

A

Eyeball gauge of how curved a graph is

76
Q

Outlier

A

Extremely atypical point located at a relatively long distance-an outlying distance-from the rest of the coordinate points in a scatterplot; stimulate interpreters of test data to speculate about the reason for the atypical score; can provide a hint of some deficiency in the testing or scoring procedures

77
Q

Regression

A

The analysis of relationships among variables for the purpose of understanding how one variable may predict another

78
Q

Simple Regression

A

Involves one independent variable (X), referred to as the predictor variable; and one dependent variable (Y), referred to as the outcome variable

79
Q

Regression Line

A

Line of Best Fit; the straight line that comes closes to the greatest number of points on the scatterplot of X and Y

80
Q

Regression coefficients

A 
b = slope of the line
a = intercept (constant which indicates where the line crosses the Y-axis
81
Q

Standard Error of the Estimate

A

Error in the prediction of Y from X; the higher the correlation between X and Y, the greater the accuracy of the prediction and the smaller the standard error of the estimate

82
Q

Multiple Regression

A

Takes into account the intercorrelations among all the variables involved; corelation between each of the predictor scores and what is being predicted is reflected in the weight given to each predictor; Predictors that correlate highly with the predicted variable are generally given more weight

83
Q

Meta-Analysis

A

Analysis of data from several studies; refers to a family of techniques used to statistically combine information across studies to produce single estimates of the statistics being studied; more weight can be given to studies that have larger numbers of subjects

Psychological Testing & Measurement (12 decks)

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