Guidelines for Clean Data: Detection of Common Mistakes

Guidelines for Clean Data: Detection of Common Mistakes

Compilation of a large data bank has shown that researchers have frequently, if inadvertently, introduced errors while collecting, analyzing, and storing data. Such errors may lead to serious misinterpretations by both the original researcher and subsequent investigators. A summary of 13 rules is pr...

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Veröffentlicht in:Journal of applied psychology 1986-08, Vol.71 (3), p.457-460
Hauptverfasser: Smith, Patricia C, Budzeika, Karen A, Edwards, Neville A, Johnson, Steven M, Bearse, Linda N
Format: Artikel
Sprache:eng
Schlagworte:
Data Collection
Errors
Experimentation
Guidelines
Human
Psychology
Statistics
Studies
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Beschreibung
Zusammenfassung:Compilation of a large data bank has shown that researchers have frequently, if inadvertently, introduced errors while collecting, analyzing, and storing data. Such errors may lead to serious misinterpretations by both the original researcher and subsequent investigators. A summary of 13 rules is presented for efficiently avoiding, or detecting and correcting, data sets.
ISSN:0021-9010
1939-1854
DOI:10.1037/0021-9010.71.3.457