How an almost absent correlation becomes «meaningful» and the research is effective

Introduction. The analysis of statistical relationships between the studied characteristics is found in almost any dissertation psychological research, so problem traditional errors interpreting results correlation becomes extremely relevant. This manifested fact that concepts “strength connection” and its “significance” are no way related to each other, strength connection considered regardless size sample. All this leads either considering “significant”, but at same time very weak correlations, as worthy attention, or strong correlations for small samples. It necessary when analyzing take into account both “significance”, only connections objectively attention describing study remain. Materials Methods. Tables critical values Pearson (Spearman) coefficient three significance levels (0.05, 0.01, 0.0001). Transformation intervals by relationship, taking Results. article provides a detailed literary sources on statistics with demonstration problems analysis. An attempt made estimate coefficient, independent characteristics: absolute value level sample size, which must be simultaneously, without ignoring them. A 150 objects taken some ideal coefficients framework classification connection. In order users have single rule tables transformed 0.05, 0.001 different sizes. under consideration discussed example two studies, authors follow rules set out educational literature offer strange interpretations their research. Discussion Conclusions. proposed scheme terms makes it possible describe much more relationship reference size. prevents numerous interpretive occur unilaterally significance, research articles dissertations doubtful within linear paradigm.