attachment, motivation, positive and negative emotions and supportgroups as predictors of romanian...
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7/29/2019 Attachment, motivation, positive and negative emotions and supportgroups as predictors of Romanian students c
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Procedia - Social and Behavioral Sciences 46 (2012) 2409 2413
1877-0428 2012 Published by Elsevier Ltd. Selection and/or peer review under responsibility of Prof. Dr. Hseyin Uzunboylu
doi:10.1016/j.sbspro.2012.05.494
WCES 2012
Attachment, motivation, positive and negative emotions and support
groups as predictors of Romanian students career orientation in
psychology
M. Chraifa*, M.Anitei
b
aUniversity of Bucharest,Koglniceanu 36-46 street,Bucharest,050107, Romania
b
University of Bucharest,Koglniceanu 36-46 street,Bucharest,050107, Romania
Abstract
Through the current research the predictive value of the support group variable is emphasized among other predictive variables
such as intrinsic motivation, extrinsic motivation, negative and positive emotions the attachment to colleagues, professors a nd
instruments on the dependent variable the career orientation choices. After applying the multiple regression model, the research
hypothesis has been confirmed for the independent variables (p
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Previous studies continued to highlight academic behaviour and attitudes, high
school preparation, and valuing education (Stricker, Rock & -concept and self-efficacy
beliefs (Hamacheck, 1995; Le, Casillas, Robbins & Langley, 2005) and projects and homework (Viadero, 1998).
Starting from previous studies developed within the Experimental Psychology Laboratory from the Faculty of
Psychology and Education Sciences, University of Bucharest (Anitei & Chraif, 2011; Chraif
& Chraif, 2008 a; Anitei & Chraif, 2008b; ) the current study
aims, first of all, at highlighting the role the support group variable plays in predicting career orientation of students
in psychology.
2. The research objectives and hypothesis2.1.The research objectives
To highlight the correlation between positive academic environment and performances in career
development;
To show that attachment, motivation, positive and negative emotions and support group are predictors of
2.2. The hypothesischment to colleagues, students attachment to furniture and
equipment, negative emotions, positive emotions, intrinsic and extrinsic motivation and support group predict
satisfaction for carrier orientation choices.
3. The method3.1 Participants
The participants were 538 undergraduate and graduate students at from the Faculty of Psychology and Education
Sciences, University of Bucharest, aged between 19 and 25 years old (m=22.48; S.D.=2.41), rural and urban areas,
male and female.
3.2 Instruments
scale (Antei & Chraif, 2008) adapted on undergraduate and graduate
students; 2) Positive and negative emotions scale (Anitei & Chraif, 2011): 7 positive emotions and 7 negative
emotions.
4. Finding and ResultsThe results emphasized a statistically significant correlation between positive academic environment and high ratedperformances in career development (p
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3. S attachment to colleagues 7.12 2.43
4. S attachment to furniture and equipment 6.11 3.51
5. Negative emotions 4.68 0.76
6. Positive emotions 7.29 2.19
6. Intrinsic motivation 5.43 1.17
7. Extrinsic motivation 6.31 1.22
8. Support group 7.83 2.07
In table 1 can be observed the Descriptive statistics of the independent variables can be observed: Studentsattachment to professors, Students attachment to colleagues attachment, students attachment to furniture andequipment, Negative emotions, Positive emotions, intrinsic and extrinsic motivation and support group and thecriteria satisfaction for the career orientation choices.
Table 2. The correlation matrix of the variables
Variable 1. 2. 3. 4. 5. 6. 7. 8. 9.
1. Satisfaction for
the career orientation
choices
1.00
2. S
attachment to
professors X1
.37** 1.00
3. S
attachment to
colleagues X2
.29
**
.19* 1.00
4. S
attachment to
furniture and
equipment X3
.42* * .34** .25** 1.00
5. Negative emotions
X4
-.26** -.37** -.23** -.36** 1.00
6. Positive emotions
X5
.35** .24 ** .31** .32** -.27** 1.00
7. Intrinsicmotivation X6
.23** .26** .23** .21** -.21** .22** 1.00
8. Extrinsic
motivation X7
.18* .22** .27** . 25** -.22** .19* -.18* 1.00
9. Support group X8 .31** .34** .41** .38** -.28** .29** .21** .23** 1.00
*p < .05, **p < .01
Table 2 shows the correlation between the independent variables and dependent variable (Satisfaction careerorientation choices) attachment to professors, Students attachment to colleagues,attachment to furniture and equipment, Negative emotions, Positive emotions, intrinsic and extrinsic motivation andsupport group. A closer look at the data reveals statistically significant positive association between the dependentvariable satisfaction for career orientation choices and students attachment to professors (r=0..37; p
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Thus a multivariate regression model provides better predictions of the chosen criteria. Such a model can alsoanalyse relationships between variables while controlling for other variables. For each participant, the predictionequation provides a predictive value (calculated by the regression model). The symbol (R Square) reflects that it isthe square of the multiple correlations. Using Studentsattachment?? equipment, Negative emotions, Positive emotions, intrinsic andextrinsic motivation and support group together to predict the career orientation choices provides a 52.4% reduction
coefficients are statistically significant(p
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