Sample Data: Employee Attitude Survey

2017 ◽  
Author(s):  
Keyword(s):  
Attitude Survey ◽  
Sample Data ◽  
Employee Attitude

Employee Attitude Survey

2003 ◽  
Author(s):  
Benjamin Schneider ◽  
Paul J. Hanges ◽  
D. Brent Smith ◽  
Amy Nicole Salvaggio
Keyword(s):  
Attitude Survey ◽  
Employee Attitude

scholarly journals Employee Attitude Surveys in the United States

2014 ◽  
Vol 11 (3) ◽  
pp. 150-160
Author(s):  
David G. Moore
Keyword(s):  
United States ◽  
The United States ◽  
Employee Attitudes ◽  
Attitude Survey ◽  
Employee Attitude ◽  
Attitude Surveys

Summary The Author first discusses generally the employee attitude survey, describing the techniques commonly used, evaluating the ordinary questionnaire technique with its many drawbacks and limitations; these, however, can be — and have been — gradually corrected with time, and one of them has been refined into an instrument called the SRA Employee Inventory. The rest of the article is spent describing and assessing the Inventory, and finally giving the results and trends in employee attitudes which it has yielded.

Evaluating the Equivalence of an Employee Attitude Survey Across Languages, Cultures, and Administration Formats

2003 ◽  
Vol 3 (2) ◽  
pp. 129-150 ◽  
Author(s):  
Stephen G. Sireci ◽  
James Harter ◽  
Yongwei Yang ◽  
Dennison Bhola
Keyword(s):  
Attitude Survey ◽  
Employee Attitude

Evaluation of Attitude Survey Translations an Investigation Using Item Response Theory

1989 ◽  
Vol 24 (1) ◽  
pp. 665-684 ◽  
Author(s):  
Barbara B. Ellis ◽  
Beate Minsel ◽  
Peter Becker
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Response Theory ◽  
Attitude Survey

Reversion Toward the Mean Independently of Regression Toward the Mean

Methodology ◽  
2009 ◽  
Vol 5 (1) ◽  
pp. 3-6 ◽  
Author(s):  
Merton S. Krause
Keyword(s):  
Random Error ◽  
Evaluation Studies ◽  
Internal Validity ◽  
Intervention Evaluation ◽  
Population Mean ◽  
Experimental Intervention ◽  
Sample Data ◽  
The Mean ◽  
Regression Toward The Mean

There is another important artifactual contributor to the apparent improvement of persons subjected to an experimental intervention which may be mistaken for regression toward the mean. This is the phenomenon of random error and extreme selection, which does not at all involve the population regression of posttest on pretest scores but involves a quite different and independent reversion of subjects’ scores toward the population mean. These two independent threats to the internal validity of intervention evaluation studies, however, can be detected and differentiated on the sample data of such studies.

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