Goal Setting Rigidity as a Function of Anxiety and Task-Ambiguity

1958 ◽  
Vol 58 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Philip Himelstein
Keyword(s):  
1973 ◽  
Vol 9 (1) ◽  
pp. 124-131 ◽  
Author(s):  
Robert Cohen ◽  
Robert Bornstein ◽  
Richard C. Sherman

1981 ◽  
Vol 53 (3) ◽  
pp. 881-882 ◽  
Author(s):  
Robert N. Singer ◽  
Gene Korienek ◽  
David Jarvis ◽  
Dale McColskey ◽  
Glenn Candeletti

Goal-setting as an effective technique for improving performance has been determined but its value in increasing persistence at practicing a task when unlimited practice time and alternative activities are available has yet to be established. 28 subjects were placed in a goal-setting or a control group. They were allowed to make as many attempts as they wanted to learn a complicated photoelectric mirror maze. The group provided with short- and long-term goals persisted longer at the task than the control group.


1994 ◽  
Vol 79 (6) ◽  
pp. 826-835 ◽  
Author(s):  
Ruth Kanfer ◽  
Phillip L. Ackerman ◽  
Todd C. Murtha ◽  
Brad Dugdale ◽  
Leissa Nelson

Author(s):  
Cherng-Jyh Yen ◽  
Chih-Hsiung Tu ◽  
Laura E. Sujo-Montes ◽  
Shadow W. J. Armfield ◽  
Junn-Yih Chan

Web 2.0 technology integration requires a higher level of self-regulated learning skills to create a Personal Learning Environment (PLE). This study examined each of the four aspects of learner self-regulation in online learning (i.e., environment structuring, goal setting, time management, & task strategies) as the predictor for level of initiative and sense of control with regard to iGoogle gadgets management in PLE. This study has concluded that goal setting, time management, and task strategies in self-regulated learning can predict level of initiative in organizing PLE. Furthermore, goal setting and task strategies can predict sense of control in PLE management.


1981 ◽  
Vol 90 (1) ◽  
pp. 125-152 ◽  
Author(s):  
Edwin A. Locke ◽  
Karyll N. Shaw ◽  
Lise M. Saari ◽  
Gary P. Latham

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