Personality Correlates of Locus of Control among College Women

1978 ◽  
Vol 43 (3_suppl) ◽  
pp. 1129-1130 ◽  
Author(s):  
Joseph C. Bledsoe ◽  
William C. Baber
Keyword(s):  
Locus Of Control ◽  
Regression Model ◽  
College Women ◽  
Stepwise Regression ◽  
Personality Factor ◽  
Ego Strength ◽  
Personality Correlates ◽  
Will Power

Personality correlates of locus of control were investigated for a group of 205 college women. Eight 16-Personality Factor variables were reliably correlated with scores on locus of control. Internal women were more likely to be controlled, emotionally stable, conscientious, trusting, shrewd, and sociable; external women were more likely to be excitable and insecure. A 6-variable stepwise regression model using will power, ego strength, sociability, trust, creativity, and shrewdness as variables gave a mutiple R of .442 and accounted for 20% of the variance.

scholarly journals Application of combined model of stepwise regression analysis and artificial neural network in data calibration of miniature air quality detector

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bing Liu ◽  
Qingbo Zhao ◽  
Yueqiang Jin ◽  
Jiayu Shen ◽  
Chaoyang Li
Keyword(s):  
Neural Network ◽  
Air Quality ◽  
Regression Model ◽  
Multilayer Perceptron ◽  
Stepwise Regression ◽  
Control Point ◽  
Measurement Data ◽  
Environmental Indicators ◽  
Air Pollutant ◽  
Mlp Model

AbstractIn this paper, six types of air pollutant concentrations are taken as the research object, and the data monitored by the micro air quality detector are calibrated by the national control point measurement data. We use correlation analysis to find out the main factors affecting air quality, and then build a stepwise regression model for six types of pollutants based on 8 months of data. Taking the stepwise regression fitting value and the data monitored by the miniature air quality detector as input variables, combined with the multilayer perceptron neural network, the SRA-MLP model was obtained to correct the pollutant data. We compared the stepwise regression model, the standard multilayer perceptron neural network and the SRA-MLP model by three indicators. Whether it is root mean square error, average absolute error or average relative error, SRA-MLP model is the best model. Using the SRA-MLP model to correct the data can increase the accuracy of the self-built point data by 42.5% to 86.5%. The SRA-MLP model has excellent prediction effects on both the training set and the test set, indicating that it has good generalization ability. This model plays a positive role in scientific arrangement and promotion of miniature air quality detectors. It can be applied not only to air quality monitoring, but also to the monitoring of other environmental indicators.

Locus of Control and Aids Information-Seeking in College Women

1987 ◽  
Vol 60 (2) ◽  
pp. 665-666 ◽  
Author(s):  
Ashton D. Trice ◽  
Judith Price-Greathouse
Keyword(s):  
Locus Of Control ◽  
College Women ◽  
Information Seeking ◽  
Liberal Arts ◽  
Health Locus Of Control ◽  
Liberal Arts College ◽  
Academic Locus Of Control ◽  
Aids Information ◽  
Course Credit

124 women in a liberal arts college were offered course credit for attending an informational seminar on AIDS. Chance Health Locus of Control scores, Academic Locus of Control scores, and previous information about AIDS predicted attendance.

Research on Related Problems of PM2.5 in Air

2014 ◽  
Vol 644-650 ◽  
pp. 5319-5324
Author(s):  
Tian Jiu Leng
Keyword(s):  
Regression Analysis ◽  
Boundary Conditions ◽  
Regression Model ◽  
Multiple Regression ◽  
Stepwise Regression ◽  
Multiple Regression Model ◽  
Stepwise Regression Analysis ◽  
Spatial Evolution ◽  
Analysis Method ◽  
Relevant Factors

In this paper, the relevant factors of PM2.5 and the degree of correlation between them were analyzed.The multiple regression model was established using stepwise regression analysis method and the temporal spatial evolution of PM2.5 was obtained by setting the initial and boundary conditions.

Careers, contingencies, and locus of control among White college women

Sex Roles ◽  
1984 ◽  
Vol 11 (3-4) ◽  
pp. 289-302 ◽  
Author(s):  
Louise Vitiello Burroughs ◽  
Barbara F. Turner ◽  
Castellano B. Turner
Keyword(s):  
Locus Of Control ◽  
College Women ◽  
White College

Predictors of Academic Self-Concept of Older Adults

1989 ◽  
Vol 65 (3) ◽  
pp. 771-774 ◽  
Author(s):  
Robert Drummond ◽  
Betty Gilkison
Keyword(s):  
Older Adults ◽  
Locus Of Control ◽  
Learning Style ◽  
Stepwise Regression ◽  
Demographic Data ◽  
Self Concept ◽  
Control Scale ◽  
Older Learners ◽  
Gregorc Style Delineator ◽  
Enrollment Status

This study examined the predictors of the academic self-concept of 130 older adults (50 to 68 yr.). The Levenson Multidimensional Locus of Control Scale, the Gregorc Style Delineator, and the Drummond Academic Self-concept Scale and a demographic data sheet were completed by the adults. In stepwise regression, age and enrollment status plus learning style variables accounted for 11.5% and 4.5% of the variance, and the three locus of control scales for 33.1%. How older learners tend to feel about themselves and their world influences their perception of their academic environment more than their preferred modality of learning.

scholarly journals Material selection of natural fibre using a stepwise regression model with error analysis

2019 ◽  
Vol 8 (3) ◽  
pp. 2865-2879 ◽  
Author(s):  
Muhammad Noryani ◽  
Salit Mohd Sapuan ◽  
Mohammad Taha Mastura ◽  
Mohd Yusoff Moh Zuhri ◽  
Edi Syams Zainudin
Keyword(s):  
Error Analysis ◽  
Regression Model ◽  
Stepwise Regression ◽  
Material Selection ◽  
Natural Fibre ◽  
Selection Of

scholarly journals The construction of a normative scale of locus of control

2005 ◽  
Vol 31 (3) ◽  
Author(s):  
Johann M. Schepers
Keyword(s):  
Locus Of Control ◽  
Internal Control ◽  
Attribution Theory ◽  
Social Learning Theory ◽  
Primary Objective ◽  
External Control ◽  
First Year ◽  
Cognitive Correlates ◽  
Personality Correlates ◽  
First Year University

The primary objective of the study was to construct a normative scale of locus of control for use with students and adults. A corollary of the study was to establish the personality, interest and cognitive correlates of locus of control. Conceptually the instrument is based on attribution theory and on social learning theory. The first edition of the Locus of Control Inventory (LCI) was applied to 356 first-year university students during 1994. A factor analysis of the 65 items of the inventory yielded three factors. The factors were interpreted as Autonomy, Internal Control and External Control. Three scales, corresponding to the three factors, were constructed, and yielded reliability coefficients of 0,80; 0,77 and 0,81 respectively. Following this the cognitive, interest and personality correlates of the LCI were determined. The implications of the findings are discussed. Opsomming Die hoofdoel van die studie was die konstruksie van ’n normatiewe skaal van lokus van beheer vir gebruik met studente en volwassenes. ’n Newe-doelwit van die studie was om die persoonlikheids-, belangstellings- en kognitiewe korrelate van lokus van beheer te bepaal. Konseptueel is die instrument op attribusieteorie en sosiale-leerteorie gebaseer. Die eerste-uitgawe van die Lokus van Beheervraelys (LvB) is op 356 eerstejaaruniversiteitstudente toegepas gedurende 1994. ’n Faktorontleding van die 65 items van die vraelys is gedoen en het drie faktore opgelewer. Die faktore is as Outonomie, Interne Beheer en Eksterne Beheer geïnterpreteer. Voorts is drie skale wat ooreenstem met die drie faktore, gekonstrueer en het betroubaarhede van 0,80; 0,77 en 0,81, onderskeidelik, opgelewer. Vervolgens is die kognitiewe, belangstellings- en persoonlikheidskorrelate van die LvB bepaal. Die implikasies van die bevindinge word bespreek.

CROSS CULTURAL COMPARISON (U.S.A;, JAPAN, AUSTRIA) OF THE PERSONALITY FACTOR STRUCTURES OF 10 TO 14 YEAR OLDS IN OBJECTIVE TESTS

1973 ◽  
Vol 1 (2) ◽  
pp. 182-211 ◽  
Author(s):  
Raymond B. Cattell ◽  
Lothar R. Schmidt ◽  
Kurt Pawlik
Keyword(s):  
Simple Structure ◽  
Personality Factor ◽  
Ego Strength ◽  
Behavioral Measures ◽  
Cross Cultural Comparison ◽  
Structure Factors ◽  
Objective Tests ◽  
Principles And Standards ◽  
Marker Variables ◽  
Theoretical Developments

Twelve personality source traits previously replicated as simple structure factors in American samples, and known to express themselves in part also in Q-data, were represented by some 70 carefully-chosen behavioral measures (T-data) and a dozen questionnaire scales. These were applied to 273 American, 175 Japanese, End 218 Austrian children in the 12 to 14 year age range.Independent factor analysis, with the same principles and standards, on all three agreed in finding 23 factors, the first 10 of which (1) yielded significant and consistent matching by congruence coefficients across the three studies; and (2) came out with the marker variables used to recognize the source trait in terms of the earlier theoretical developments. Beyond these 10, the matching and meaning were patchy, markers being lacking.It is concluded that the source traits U.I. 16, 18, 21, 23, 24, 25, 28, 32, and 33 (which give precision to such concepts as ego strength, anxiety, extraversion, etc.) are as general as “human nature”.

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