Study on Differences in Wealth, Evidence from Structural Regression De composition, 1850-1870

2021 ◽  
pp. 1-18
Author(s):  
Dr. James E. Curtis, Jr.
Keyword(s):  
Structural Regression

scholarly journals Predictive power of task orientation, general self-efficacy and self-determined motivation on fun and boredom

2015 ◽  
Vol 21 (4) ◽  
pp. 361-369 ◽  
Author(s):  
Lorena Ruiz-González ◽  
Antonio Videra ◽  
Juan Antonio Moreno-Murcia
Keyword(s):  
Physical Education ◽  
Self Efficacy ◽  
Predictive Power ◽  
Task Orientation ◽  
Likert Scales ◽  
Educational Task ◽  
Structural Regression ◽  
Task Oriented ◽  
Sport Motivation Scale ◽  
General Self Efficacy

Abstract The aim of this study was to test the predictive power of dispositional orientations, general self-efficacy and self-determined motivation on fun and boredom in physical education classes, with a sample of 459 adolescents between 13 and 18 with a mean age of 15 years (SD = 0.88). The adolescents responded to four Likert scales: Perceptions of Success Questionnaire, General Self-Efficacy Scale, Sport Motivation Scale and Intrinsic Satisfaction Questionnaire in Sport. The results showed the structural regression model showed that task orientation and general self-efficacy positively predicted self-determined motivation and this in turn positively predicted more fun and less boredom in physical education classes. Consequently, the promotion of an educational task-oriented environment where learners perceive their progress and make them feel more competent, will allow them to overcome the intrinsically motivated tasks, and therefore they will have more fun. Pedagogical implications for less boredom and more fun in physical education classes are discussed.

A note on the simple structural regression model

1996 ◽  
Vol 48 (1) ◽  
pp. 111-125 ◽  
Author(s):  
R. B. Arellano-Valle ◽  
H. Bolfarine
Keyword(s):  
Regression Model ◽  
Structural Regression

On Score Tests in Structural Regression Models

Statistics ◽  
1998 ◽  
Vol 32 (2) ◽  
pp. 131-149
Author(s):  
Reinaldo B. Arellano-Valle ◽  
Heleno Bolfarine
Keyword(s):  
Regression Models ◽  
Score Tests ◽  
Structural Regression

scholarly journals The Importance of the Coach in Predicting Implicit Beliefs about Skill and Beliefs about the Causes of Success in Handball Players

2018 ◽  
Vol 16 (1) ◽  
pp. 78
Author(s):  
Manuel Gómez-López ◽  
David Manzano-Sánchez ◽  
Juan Merino-Barrero ◽  
Alfonso Valero-Valenzuela
Keyword(s):  
Regression Model ◽  
Motivational Climate ◽  
Implicit Beliefs ◽  
Predictive Capacity ◽  
Athletic Ability ◽  
Athletic Success ◽  
Questionnaire Version ◽  
Structural Regression ◽  
Perceived Motivational Climate

The objective of the present study was to determine the predictive capacity of the motivational climate generated by coaches and perceived by handball players on implicit beliefs about ability and beliefs about the causes of success in sport. The sample consisted of 444 youth handball players. These players completed the Beliefs about the Causes of Success in Sport Questionnaire, the Conceptions of the Nature of Athletic Ability Questionnaire, Version Two, and the Perceived Motivational Climate in Sport Questionnaire. The structural regression model showed that the mastery climate positively predicted the belief in incremental ability and that this in turn positively predicts both belief in athletic success through effort and ability. The results reflected the importance of the coach in the formative process of the player and the search for performance in sport.

scholarly journals Expression of caspase-2, -3, -8 and -9 proteins and enzyme activity in the corpus luteum of the rat at different stages during the natural estrous cycle

Reproduction ◽  
2006 ◽  
Vol 132 (3) ◽  
pp. 465-475 ◽  
Author(s):  
Marina C Peluffo ◽  
Leonardo Bussmann ◽  
Richard L Stouffer ◽  
Marta Tesone
Keyword(s):  
Enzyme Activity ◽  
Corpus Luteum ◽  
Estrous Cycle ◽  
Luteal Phase ◽  
Caspase 3 ◽  
Caspase 8 ◽  
Caspase 9 ◽  
Different Populations ◽  
Structural Regression ◽  
Caspase 2

Apoptosis is associated with the regression of the corpus luteum (CL) in many species. Since caspases play a central role in apoptosis, we studied several initiators (-2, -8, and -9) and the main effector (-3) caspase in the CL during the estrous cycle of the rat. Two different populations of CL (old and new) were identified on ovaries at estrus and diestrus II (DII). Diminished (P< 0.05) luteal progesterone content and P450scc levels suggested that functional luteolysis occurred between the new CL at DII and old CL at estrus, whereas the decline (P< 0.05) in luteal weight indicated that structural regression was occurring between old CL at estrus to DII. Immunostaining for caspase-2 in luteal and endothelial cells appeared to increase as the luteal phase progressed, peaking at DII in the old CL. However, caspase-8 and -9 immunostaining showed little change with a slight increase at estrus in the old population. Notably, caspase-3 staining appeared to peak at DII in the new CL. Enzyme activity of caspase-9 increased (P< 0.05) in the new CL at DII, followed by that of caspase-2 and -3 in old CL at estrus. Caspase-8 activity did not change at any stage. The number of apoptotic cells increased at DII in the old CL. These results suggest an important role for this protease family during early events of luteolysis in the rat estrous cycle.

Estimating Productivity When Primal and Dual TFP Accounting Fail: An Illustration Using Singapore's Industries

2004 ◽  
Vol 4 (1) ◽  
Author(s):  
Hiau Looi Kee
Keyword(s):  
Productivity Growth ◽  
Returns To Scale ◽  
Perfect Competition ◽  
Growth Accounting ◽  
Tfp Growth ◽  
General Production ◽  
Structural Regression ◽  
Primal And Dual ◽  
Factor Shares ◽  
Constant Returns To Scale

Abstract For both primal and dual TFP growth accounting to properly account for productivity growth, assumptions of constant returns to scale and perfect competition are necessary. This paper shows that without these assumptions, while both TFP growth accounting measures remain equal if factor shares are constant, they are also equally bad at measuring productivity growth. This paper proposes a structural regression to estimate productivity growth based on more general production and cost functions. Using Singapore's industries as illustrations, this paper finds that the assumptions are widely rejected, and the estimated productivity growth exceeds both the accounting measures. When the same methodology is applied to the aggregate Singapore data, the estimated productivity growth is 4.4 percent per year, significantly higher than that of Young's (1992) and Hsieh's (2002).

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