The General Linear Model: Data Analysis in the Social and Behavioral Sciences.

1980 ◽  
Vol 9 (1) ◽  
pp. 106
Author(s):  
William R. Kelly ◽  
Raymond L. Horton
Keyword(s):  
Data Analysis ◽  
Linear Model ◽  
General Linear Model ◽  
General Linear ◽  
Social And Behavioral Sciences ◽  
Model Data ◽  
Behavioral Sciences ◽  
The Social

The General Linear Model: Data Analysis in the Social and Behavioral Sciences

1978 ◽  
Vol 15 (4) ◽  
pp. 657
Author(s):  
Joel Saegert ◽  
Raymond L. Horton
Keyword(s):  
Data Analysis ◽  
Linear Model ◽  
General Linear Model ◽  
General Linear ◽  
Social And Behavioral Sciences ◽  
Model Data ◽  
Behavioral Sciences ◽  
The Social

On the Best Predictive General Linear Model for Data Analysis: A Tolerance Region Algorithm for Prediction

2013 ◽  
Vol 13 (4) ◽  
pp. 513-524 ◽  
Author(s):  
C.P. Kitsos ◽  
Vasilios Zarikas
Keyword(s):  
Data Analysis ◽  
Linear Model ◽  
General Linear Model ◽  
General Linear ◽  
Tolerance Region

scholarly journals Toward More Transparency in Statistical Practice

2021 ◽  
Author(s):  
Eric-Jan Wagenmakers ◽  
Alexandra Sarafoglou ◽  
Sil Aarts ◽  
Casper J Albers ◽  
Johannes Algermissen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Social And Behavioral Sciences ◽  
Behavioral Sciences ◽  
Statistical Procedures ◽  
The Social ◽  
Ethos Of Science

We explore the promise of statistical reform by starting from the assumption that most researchers would endorse Merton's ethos of science as reflected in the four norms of communalism, universalism, disinterestedness, and organized skepticism. Translated to data analysis, these norms imply a need for transparency, a fair acknowledgement of uncertainty, and openness to alternative interpretations. We discuss seven statistical procedures, both old and new, that we believe can positively impact statistical practice in the social and behavioral sciences.

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