Multiple methods—the chi-square-bas

Multiple methods—the chi-square-based Q statistic and the 75%
rule—were used to assess for the need to test for moderators.
Categorical moderator variables were examined with subgroups
analyses, and continuous moderators (percentage of male raters
and time of study) were examined with meta-analytic regression
analyses. Calculating the categorical models results in the
between-class goodness-of-fit statistic Qb, which is equivalent to a
main effect in an analysis of variance and indicates whether the
categorical moderator fully explains variance in the data (Cortina,
2003).

ผลลัพธ์ (แอฟริกา) 1:

Verskeie metodes-Die Chi-Square-gebaseerde Q statistiek en die 75%
reël-is gebruik om te bepaal vir die behoefte om te toets vir moderators.
Kategoriese moderator veranderlikes met subgroepe ondersoek
ontleed, en Deurlopende moderators (persentasie manlike beoordelaars
en tyd van Studie. ) is ondersoek met meta-analitiese regressie
-ontledings. Die berekening van resultate in kategoriese modelle Die
tussen-klas goedheid-van-Fit statistiek Qb, wat gelykstaande is aan 'n
hoof ingang in 'n ontleding van variansie en dui aan of die
kategoriese moderator verduidelik volle variansie in die data (Cortina,
2003).