Reply to Hamaker and Ryan: Within-sample temporal instability in cross-sectional estimates

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

Volumn 116, Issue 14, 2019, Pages 6546-6547

  Fisher, Aaron J ^a   Jeronimus, Bertus F ^b   Medaglia, John D ^c,d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF GRONINGEN   (Netherlands)

^c DREXEL UNIVERSITY COLLEGE OF MEDICINE   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN; LETTER; POPULATION RESEARCH; POPULATION STRUCTURE; PRIORITY JOURNAL; SAMPLING; SAMPLING ERROR; STATISTICAL CONCEPTS; TEMPORAL INSTABILITY; CROSS-SECTIONAL STUDY; RESEARCH; RESEARCH SUBJECT;

CROSS-SECTIONAL STUDIES; HUMANS; RESEARCH; RESEARCH SUBJECTS;

EID: 85064048415     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1820222116     Document Type: Letter

References (3)

1. Hamaker EL, Ryan O (2019) A squared standard error is not a measure of individual differences. Proc Natl Acad Sci USA 116:6544–6545.
2. Fisher AJ, Medaglia JD, Jeronimus BF (2018) Lack of group-to-individual generalizability is a threat to human subjects research. Proc Natl Acad Sci USA 115:E6106–E6115.
3. Adolf JK, Fried E (2019) Ergodicity is sufficient but not necessary for group-to-individual generalizability. Proc Natl Acad Sci USA 116:6540–6541.