[Interpretation mistakes in statistical methods: their importance and some recommendations].
Interpretation mistakes in statistical methods: Their importance and some recommendations. Prior research has identified some of the most common misconceptions on how researchers interpret the results of significance tests. In this study, we examine the scope of these misconceptions in a sample of university professors and researchers from Spain on the basis of a short questionnaire. The obtained results provide important information: i) to prevent wrong interpretation from the data, ii) to correct the wrong use of statistical testing, iii) to suggest new ways of examining the data, and iv) to propose some modifications on the editorial criteria to publish scientific work.
Monterde i Bort
Héctor
H
Faculty of Psychology, Universidad de Valencia, 46010 Valencia, Spain. hector.monterde@uv.es
Pascual Llobel
Juan
J
Frías Navarro
María Dolores
MD
D000328:Adult; D032882:Comprehension; D003469:Culture; D003627:Data Interpretation, Statistical; D005178:Faculty / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D011336:Probability; D011584:Psychology / Q000193:education / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000379:methods / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D012108:Research Personnel / Q000523:psychology*; D018401:Sample Size; D011795:Surveys and Questionnaires