Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use

Sattler S (2020)
AJOB Neuroscience 11(4): 248-250.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Sattler, SebastianUniBi
Einrichtung
Fakultät für Soziologie > Arbeitsbereich 5 - Sozialstruktur und soziale Ungleichheit > AG Sauer
Erscheinungsjahr
2020
Zeitschriftentitel
AJOB Neuroscience
Band
11
Ausgabe
4
Seite(n)
248-250
ISSN
2150-7740
eISSN
2150-7759
Page URI
https://pub.uni-bielefeld.de/record/2958157

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Sattler S. Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use. AJOB Neuroscience. 2020;11(4):248-250.
Sattler, S. (2020). Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use. AJOB Neuroscience, 11(4), 248-250. https://doi.org/10.1080/21507740.2020.1830880
Sattler, Sebastian. 2020. “Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use”. AJOB Neuroscience 11 (4): 248-250.
Sattler, S. (2020). Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use. AJOB Neuroscience 11, 248-250.
Sattler, S., 2020. Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use. AJOB Neuroscience, 11(4), p 248-250.
S. Sattler, “Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use”, AJOB Neuroscience, vol. 11, 2020, pp. 248-250.
Sattler, S.: Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use. AJOB Neuroscience. 11, 248-250 (2020).
Sattler, Sebastian. “Using Social Learning Theories to Better Understand the Variation of the Moral Acceptability of Performance Enhancement Drug Use”. AJOB Neuroscience 11.4 (2020): 248-250.
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