A squared standard error is not a measure of individual differences

Proceedings of the National Academy of Sciences of the United States of America

Volumn 116, Issue 14, 2019, Pages 6544-6545

  Hamaker, Ellen L ^a   Ryan, Oisín ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; COMPARATIVE STUDY; CROSS-SECTIONAL STUDY; HUMAN; INDIVIDUAL DIFFERENCE; LETTER; MATHEMATICAL COMPUTING; MEASUREMENT ERROR; MEDICAL LITERATURE; PRIORITY JOURNAL; SOCIAL STATUS; STATISTICAL BIAS; STATISTICAL MODEL; INDIVIDUALITY; RESEARCH; RESEARCH SUBJECT;

HUMANS; INDIVIDUALITY; RESEARCH; RESEARCH SUBJECTS;

EID: 85064051681     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1818033116     Document Type: Letter

References (6)

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2. Hamaker EL (2012) Why researchers should think “within-person”: A paradigmatic rationale. Handbook of Research Methods for Studying Daily Life, eds Mehl MR, Conner TS (Guilford Press, New York), pp 43–61.
3. Molenaar PCM (2004) A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement 2:201–218.
4. Schmitz B (2000) Auf der Suche nach dem verlorenen Individuum: Vier Theoreme zur Aggregation von Prozessen. Psychol Rundsch 51:83–92. German.
5. Everitt BS, Skrondal A (2010) The Cambridge Dictionary of Statistics (Cambridge Univ Press, New York), 4th Ed.
6. Bowley AL (1928) The standard deviation of the correlation coefficient. J Am Stat Assoc 23:31–34.