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Content-analyses scales of the social motivation test. Results of correlation and factor analyses. Part 2 311
, PhD in Psychology, Senior Research Associate, Institute of Psychology, Russian Academy of Sciences, Moscow, Russia, firstname.lastname@example.orgMurasheva O.V.
, PhD in Psychology, Researcher, Institute of Psychology, Russian academy of Sciences, Moscow, Russia, email@example.comBessonova Yu.V.
, PhD in Psychology, Senior Researcher, Institute of Psychology, RAS, Moscow, Russia, firstname.lastname@example.orgKiselyova N.I.
, PhD in Sociology, Assistant Professor, Financial University under the Government of Russian Federation, Moscow, Russia, email@example.com
The topic of the relative impact of motivation and intelligence was investigated on the sample of students of Humanities at one of the ordinary universities of Moscow. Motivation was measured twofold with semi-projective Test of Social Motivation (Almayev, Murasheva 2012) and by «Motivation to work Profile» by Ritchie and Martin (psychometrically checked and adopted for the Russian sample). Intelligence was measured with Amthauer test. No significant correlations were found between both intelligence and motivational scales with the educational scores. Exception were the two content analysis scales those detect stress: “Negative emotions”(0,22), and “Negative events”(0,24) and their sum “Fear to live” (0,32). Moderate stress accompanies academic success. The influence of Power, Achievement and Affiliation motives was not detected. Two intellectual scales those dialed with spatial imagination and spatial generalization positively correlated with “impulse control” r=0,22 content analyses scale and negatively with the “Motivational conflict” r=-0,35 for spatial generalization, and -0,28 for spatial relation. Achievement scale correlated negatively with spatial imagination r=-0,26 that rise suspect regarding whether this motive was not partially of the compensative nature in this sample. Validity of nPower was also tested. Need for Power consists of two rather independent constructs: Rivalry and Loyalty with their connection being positive but weak and detectable only on relatively big samples.
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