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Summary of Chapter 6

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Answer
All types of research   require collecting data  
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data   are pieces of evidence used to examine a research topic or hypothesis  
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Constructs   mental abstractions such as personality, creativity, and intelligence that cannot be observed or measured directly  
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Constructs   become variables when they are stated in terms of operational definitions  
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Variables   placeholders that can assume any one of a range of values  
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Categorical variables   assume non-numerical (nominal) values  
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quantitative variables   assume numerical values and are measured on an ordinal, interval, or ratio scale  
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Independent variable   the treatment or cause  
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Dependent variable   outcome or effect of the independent variable  
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Three main ways to collect data for research studies   1. administering an existing instrument 2. constructing one's own instrument 3. recording naturally occurring events (i.e., observations)  
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Standardized test   administered, scored, and interpreted in the same way no matter when and where it is administered  
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Most quantitative tests are   paper-and-pencil ones  
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Most qualitative researchers   collect data by observation or oral questioning  
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Raw scores   indicate the number of items or points a person got correct  
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Norm-referenced scoring   compares a student's test performance to the performance of other test takers  
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Criterion-referenced scoring   compares a student's test performance to predetermined standards of performance  
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Cognitive tests   measures intellectual processes  
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achievement tests   measure the current status of individuals on school-taught subjects  
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aptitude tests   used to predict how well a test taker is likely to perform in the future  
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general aptitude tests   typically ask the test taker to perform a variety of verbal and nonverbal tasks  
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Affective tests   are assessments designed to measure characteristics related to emotion  
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most affective tests   are non-projective, self report measures in which the individual responds to a series of questions about him or her self  
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Five basic types of scales are used to measure attitudes   1. Likert scales 2. semantic differential scales 3. rating scales 4. Thurstone scales 5. Guttman scales  
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Attitude scales   ask respondents to state their feelings about various objects, persons, and activities  
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Likert scale   indicate feeling a long a scale such as strongly agree, agree, undecided, disagree, strongly disagree  
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Semantic differential scales   present a continuum of attitudes on which a respondent selects a position to indicate the strength of attitude. On a scale of 1-5, 5 being the best and 1 being the worst  
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rating scales present   statements that respondents must rate on a continuum from high to low. Rank your feelings from 1-5, 1 being the most important and 5 being the least important  
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Interest inventories   ask individuals to indicate personal likes and dislikes  
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Personality describes   characteristics that represent a persons typical behavior  
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Personality inventories include   lists of statements describing human behaviors, and participants must indicate whether each statement pertains to them.  
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Personality inventories   may be specific to a single trait (introversion-extroversion) or maybe general and measure a number of traits.  
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Use of self-report measures   create a concern whether an individual is expressing his or her true attitude, values, interests, or personality  
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Test bias in both cognitive and affective measures   can distort the data obtained  
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Bias is present   when one's ethnicity, race, gender, language, or religious orientation influences test performances  
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Projective tests   presents ambiguous situation and require the test taker to "project"her or his true feelings on the ambiguous situation  
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Association   most commonly used projective technique and exemplified by the inkblot test  
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Validity   the degree to which a test measure what is supposed to measure  
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Test is   not valid per se, it is valid for a particular interpretation and for a particular group  
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Validity   is measured on a continuum, tests are highly valid, moderately valid, or generally valid  
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Content validity   assesses the degree to which a test measures an intended content area  
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Content validity   is of prime importance for achievement tests  
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Content validity   determined by expert judgment of item and sample validity, not by statistical means  
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Criterion related validity   determined by relating performance on a test to a performance on a second test or other measure  
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Criterion validity has two forms   concurrent and predictive  
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Concurrent validity   degree to which the scores on a test are related to scores on another test administered at the same time or to another measure available at the same time  
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Predictive validity   degree to which scores on a test are related to scores on another test administered in the future  
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Construct validity   measure of whether the construct underlying a variable is actually being measured  
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Construct validity   determined by a series of validation studies that can include content and criterion related approaches  
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Used to determine construct validity   confirmatory and disconfirmatory evidence  
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Consequential validity   concerned with the potential of tests to create harmful effects for test takers  
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Validity of any test or measure   can be diminished by such factors as unclear test directions, ambiguous or difficult test items, subjective scoring, and non-standardized administration procedures  
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Reliability   degree to which a test consistently measure whatever it measures  
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Reliability   is expressed numerically from 0.0 to 1.0; a high coefficient indicates high reliability  
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Measurement error   refers to the inevitable fluctuations in scores due to person and test factors  
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No test is perfectly reliable   but the smaller measurement error the more reliable the test  
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The five general types of reliability   1. Stability 2. Equivalence 3. Equivalence and stability 4. Internal consistency 5. Scorer/rater  
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Stability   also called test-retest reliability; the degree to which test scores are consistent over time  
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Test-retest   determined by correlating scores from the same test, administered more than once  
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Equivalence   Equivalent-forms reliability; the degree to which two similar forms of a test produce similar scores from a single group of test takers  
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Equivalence and stability reliability   the degree to which two forms of a test given at two different times produce similar scores as measured by correlations  
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Internal consistency   deals with the reliability of a single test taken at one time  
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Internal consistency   measures the extent to which the items in the test are consistent among themselves with the test as a whole  
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Internal consistency   Split half, Kuder-Richardson 20 and 21, and Cronbach's alpha main approaches to obtaining internal consistency  
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Split half reliability   determined by dividing a test into two equivalent halves (e.g., odd items vs. even items), correlating the two halves, and using the Spearman Brown formula to determine the reliability of the whole test  
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Kuder-Richardson reliability   deals with internal consistency of tests that are scored dichotomously (i.e., right, wrong)(multiple choice items, true or false items)  
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Cronbach's alpha   deals with internal consistency of tests that are scored with more than two choices (How many previous research classes have you taken? select among the following 0,1,2,3)  
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Scorer/rater reliability   important when scoring tests that are potentially subjective  
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interjudge reliability   refers to the reliability of two or more independent scorers  
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Intrajudge reliability   refers to the reliability of a single individual's rating over time  
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Standardized achievement tests   high reliabilities  
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Porjective tests   considerably lower reliabilities  
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standard of error or measurement   is an estimate of how often one can expect score errors of a given size  
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small standard error of measurement   indicates high reliability  
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large standard error of measurement   indicates low reliability  
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standard error of measurement   used to estimate the difference between a person's obtained and true scores  
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Big differences   indicate low reliability  
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Metal Measurement Yearbooks (MMYs)   most comprehensive sources of test information available  
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Metal Measurement Yearbooks (MMYs)   provide factual information on all known or revised tests, test reviews, and comprehensive bibliographies and indexes  
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Tests in Print (TIP)   comprehensive bibliography of all tests that have appeared in preceding MMYs.  
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Pro-Ed Publications' Tests   describe more than 2,000 tests in education, psychology, and business  
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Test Critiques   reviews of many of these tests  
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ETS Test Collection Database   describes more than 20,000 tests, published and unpublished  
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Other sources of test information   professional journals and test publishers or distributors  
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Three most important factors to consider in selecting a test   1. validity 2. reliability 3. ease of use  
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Self constructed tests   should be pilot tested before use to determine validity, reliability, and feasibility  
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