Generalized scales of content analysis of projective narratives in test of social motivation (TSM). Their validity and specifics. Part 1



Projective stories possess some advantages in comparison to the questionnaires. They provide considerable amount of additional information about subjects’ current state and the motives. Nevertheless, they are also not free from the effects of censorship and social desirability. The list of content analysis scales in this study was the following: 1) “Affiliation”, 2) “Frustration of Affiliation”, 3) “Long-term relationships”, 4) “Rivalry”, 5)”Loyalty”, 6) “Achievement”, 7) “Hope”, 8) “Egoistic benefit”, 9) “Impulse control”, 10) “Struggle of motives”, 11) “Negative emotions”, 12) “Negative events”, as well as the three scales for detection of desire to avoid projection: a)”Abandon of the task” (stories shorter than 20 words), b) “Description”, c) «Either, or». Also some of the indicators were adopted: “Fear to live” – sum of “Negative events” and “Negative emotions” scales; “Hardness” that is subtraction of “Negative emotions” from “Negative events”; “General avoidance of projection” that is the sum of “Abandon”, “Description” and “Either, or”. Validity of the scales was checked and proofed through the multiple comparisons within the three samples: students of Humanities, students of the Moscow Aviation University and MosEmerCom dispatchers. This work was supported by grant RFH №12-06-00647.

General Information

Keywords: projective stories, content analysis, scales, criterion validity, motivation

Journal rubric: Tools

Article type: scientific article


For citation: Almayev N.A., Murasheva O.V., Bessonova Y.V., Kiselyova N.I. Generalized scales of content analysis of projective narratives in test of social motivation (TSM). Their validity and specifics. Part 1. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2016. Vol. 9, no. 4, pp. 90–104. DOI: 10.17759/exppsy.2016090409. (In Russ., аbstr. in Engl.)


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Information About the Authors

Nikolai A. Almayev, Doctor of Psychology, Senior Research Associate, Institute of Psychology, Russian Academy of Sciences, Moscow, Russia

Olga V. Murasheva, PhD in Psychology, Researcher, Institute of Psychology, Russian academy of Sciences, Moscow, Russia, e-mail:

Yulia V. Bessonova, PhD in Psychology, Senior Researcher, Institute of Psychology, RAS, Moscow, Russia, e-mail:

N. I. Kiselyova, PhD in Sociology, Docent, Assistant Professor, Financial University under the Government of Russian Federation, Moscow, Russia, e-mail:



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