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At q Long Form Scoring Updated

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  Adult Temperament Questionnaire The Adult Temperament Questionnaire (ATQ) was adapted from the Physiological Reactions Questionnaire developed by Derryberry and Rothbart (1!!) #ased upon the results from recent studies (Rothbart$ Ahadi$ % &vans$ ' &vans % Rothbart$ in  preparation) we have formulated a self*report model of temperament that includes general constructs of effortful control$ negative affect$ e+traversion,surgency$ and orienting sensitivity The general constructs are referred to as factor scales (i e $ they have resulted in superfactors) and the sub*constructs are referred to as scales The ATQ long form includes 1-- items .n addition to including general constructs and sub*constructs$ the long form also sub*divides many of the sub*constructs into homogeneous item clusters (see long form scoring instructions) References Derryberry$ D % Rothbart$ / 0 (1!!) Arousal$ affect$ and attention as components of temperament ournal of Personality and 2ocial Psychology$ 33$ 3!*44 Evans, D.E. & Rothbart, M.K. (in preparation). A Hierarchical Approach to Temperament and its Relation to the Bi !ive.Rothbart, M.K. Ahadi, .A. & Evans D.E. (#$$$). Temperament and personalit% 'riins and otcomes. ornal o* +ersonalit% and ocial +s%cholo%, -, ##/01.   Adult Temperament Questionnaire LONG FORMRELIABILITIES 5or reliabilities reported here$ the sample size  ! # under$raduates Factor scales  listed in bold type 2cales (i e $ sub*constructs) for factor scales listed in normal print below their factor scale Relia%ilit& 'Alp(a)Ne$ati*e Affect+,! 5ear -42adness !Discomfort -'5rustration ! Effortful -ontrol+, .nhibitory 6ontrol 43Activation 6ontrol !7Attentional 6ontrol !! E.tra*ersion+,/ 2ociability !8igh Pleasure -9Positive Affect !7 Orientin$ Sensiti*it&+#0  :eutral Perceptual 2ensitivity !1Affective Perceptual 2ensitivity Associative 2ensitivity !3   S-ORING INSTR1-TION for Adult Temperament Questionnaire LONG FORMRe*ersed 'R) Items2 After the initial coding of the ;uestionnaire$ reversed items (i e $ items that are the conceptual reverse of the scale definition) need to be reverse coded (i e $ <i=ert*scale response of 1>-$ '>4$ 9>3$ 7>7$ 3>9$ 4>'$ and ->1) .tems that are reversed are mar=ed with an ?R@ ne+t to their item number in the listing of items by scale Missin$ 3ata2  ur wor= with this adult ;uestionnaire has been with undergraduate students Bhen sampling from this type of population$ there is typically a minimal number of 1) non*responses$ ') more than one response for the same item$ 9) and selection of the ?not applicable@ response option (i e $ all three of these cases constitute missing values) Be inserted the mean item response from the whole sample toreplace these missing values 5or dealing with a larger number of missing values$ one option is to add the number of <i=ert*scale for a given subCect followed by dividing by the number of valid (nonmissing) responses Scale names are listed in red print To score the main scales$ add all of the <i=ert*responses within a given scale together and divide by the number of valid item responses (or all items constructed for a scale if the sample mean is used to replace missing values) The listing of items by scales below displays the factor scales with their corresponding regular scale sub*constructs Factor4scales names are listed in %old print To score factor scales$ add the scores for each of the regular scales that are subcomponents of the factor scale being measured (i e $ those main scales that are listed under the heading of a given factor scale) together and divide by the number of main scales  Note:  The instructions for scoring factor scales in the short form are different than the long form (see short form scoring instructions)    Item clusters   are used to further differentiate the content of scales and are listed initalics :ot all of the main*scales are divided into item clusters .f particular item clusters are of interest$ they can be scored in the same manner as the main*scales 8owever$ in most instances$ it is li=ely that the main scales and,ore factor scales will be the variables of interest  

Bolster

Jul 23, 2017

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Jul 23, 2017
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