Definitions need to be precise and consistent: A reply to Haslam with suggestions for the future

Marzena Cypryańska , John B. Nezlek , Aleksandra Jaskółowska , Magdalena Formanowicz


In his reply to our critique of research on self-humanizing, Haslam claims that we used a narrow definition of self-humanizing that ignored the evidence from the correlational research he and his colleagues have done. We disagree. First, we relied upon a definition of self-humanizing based upon comparative judgments that Haslam and colleagues have consistently used. Second, we were well aware of the correlational research he and his colleagues have done. We simply did not think, and do not think, these correlations verified the existence of self-humanizing as defined. In his reply, Haslam offered a new definition of self-humanizing that defines self-humanizing in terms of correlations between comparative judgments and ratings of how much traits reflect human nature. Although we believe this change represents some progress, numerous issues in the study of self-humanizing remain to be resolved. We offer some suggestions for future research on this important topic.
Author Marzena Cypryańska (Wydział Psychologii)
Marzena Cypryańska,,
- Wydział Psychologii
, John B. Nezlek (Wydział Zamiejscowy w Poznaniu)
John B. Nezlek,,
- Wydział Zamiejscowy w Poznaniu
, Aleksandra Jaskółowska (Wydział Psychologii)
Aleksandra Jaskółowska,,
- Wydział Psychologii
, Magdalena Formanowicz
Magdalena Formanowicz,,
Journal seriesJournal of Social Psychology, ISSN 0022-4545, e-ISSN 1940-1183, (A 20 pkt)
Issue year2017
Publication size in sheets0.5
Keywords in EnglishBTA, comparative judgments, human nature, self-evaluation motives, self-humanizing
ASJC Classification3207 Social Psychology
Languageen angielski
Nezlek J.__Definitions_all_2017.pdf 589.38 KB
Additional file
2017_publ_Oświadczenie_Cypryanska_JSP2-signed.pdf 258.85 KB
Score (nominal)20
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.578; WoS Impact Factor: 2017 = 1.227 (2) - 2017=1.645 (5)
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