Psychometric Theory |
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Page 580
... guessing , because of the amount of guessing . Also , for individuals who have the same R and W scores , the actual effects of guessing vary in terms of chance . If two people each guess at the answers for 10 true - false items , one ...
... guessing , because of the amount of guessing . Also , for individuals who have the same R and W scores , the actual effects of guessing vary in terms of chance . If two people each guess at the answers for 10 true - false items , one ...
Page 582
... guessing . EFFECTS ON OVERALL RELIABILITY If a set of scores had no error because of guessing ( 92 ) , the variance of those scores could be depicted as follows : σ = 2 eg There would be some variance 2 resulting from errors because of ...
... guessing . EFFECTS ON OVERALL RELIABILITY If a set of scores had no error because of guessing ( 92 ) , the variance of those scores could be depicted as follows : σ = 2 eg There would be some variance 2 resulting from errors because of ...
Page 585
... guessing is not a factor . This offers a general approach to investigating the losses in reliability because of guessing . A typical finding on a 40 - item test with five alternatives for each item is that the reliability of scores x ...
... guessing is not a factor . This offers a general approach to investigating the losses in reliability because of guessing . A typical finding on a 40 - item test with five alternatives for each item is that the reliability of scores x ...
Contents
CHAPTER | 2 |
TWO scaling models Types of responses required of subjects | 31 |
THREE validity Predictive validity Content validity Construct validity | 75 |
Copyright | |
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actually alternative forms applied approach assumptions attitudes attribute average correlation centroid method Chapter clusters coefficient alpha computed concerning construct validity content validity correct correlation matrix correlations among items covariance cross products developed dichotomous items discriminant discussed distances distribution domain domain-sampling model employed equal estimate example factor analysis factor loadings Figure formula guessing Guttman scale highly human abilities hypotheses important individual differences inferential statistics interval scale investigations item analysis item-total correlations linear combination mathematical mean measurement error measures of personality multidimensional scaling multiple correlation normal distribution number of items obtained scores partial correlation particular personality traits phi coefficients possible predictive previously problem profiles psychological Q sort ratings ratio scale reliability response styles rotated factors sample self-inventories standard deviation standard scores statements statistical stimuli studies subjects tend theory tion total scores trace lines true scores types usually values variance vectors weights zero