scholarly journals Parental Directiveness as a Predictor of Children’S Behavior at Kindergarten

2012 ◽  
Vol 16 (3) ◽  
pp. 213-236 ◽  
Author(s):  
Agnieszka Szymańska

Abstract The research aimed to describe the differences in preschool children’s families in terms of parental influence. One of the important factors predicting a child’s behavior at kindergarten was parental directiveness. Directiveness was conceptualized as one of the acts of speech by which the speaker coaxes another to do something. Two types of directiveness were distinguished: warm-hearted directiveness and aggressive directiveness. Two hundred and four participants, parents of kindergarten children, took part in the research. Selection for the research sample was conducted according to the teacher’s representation of a child’s behavior at kindergarten (well-behaved or badly-behaved). Parents completed psychological tests measuring their level of parental control (conceptualized as teaching the child the rules of social behavior) and, finally, the level and type of directiveness (warm-hearted or aggressive). The purpose of the analysis was to discover which of the enumerated variables best explained a child’s behavior at kindergarten. Canonical correlation, discriminant analysis and data mining methods were used for the analysis. Analyses were performed with the help of the Statistical Package for Social Sciences (SPSS) and STATISTICA Data Miner 8 software. The results indicate that the level and type of parental directiveness is the most important factor that distinguishes children in groups, the split being due to the children’s behavior at kindergarten.

2015 ◽  
Vol 10 (6) ◽  
pp. 49-56
Author(s):  
Шуметов ◽  
Vadim Shumetov ◽  
Лясковская ◽  
Olga Lyaskovskaya

The article contains the results of studying the factors of students’ adaptation to the conditions of university training with one of the most effective technologies Data Mining - the method of analysis of variance. The results of modeling factors of adaptation of students of peripheral universities to the new method of Data Mining, implemented by the procedure of generalized linear model analysis of the data packet of Social Sciences SPSS Base are presented. The empirical base of modeling is the result of the poll of university students in Orel, Bryansk, Kursk and Belgorod. It is shown that in 2000s the main factor determining the adaptation of students to training in university, was the course of training and the gender factor, the faculty of training was less significant factor.


Author(s):  
Paul Attewell ◽  
David Monaghan

Author(s):  
I.M. Burykin ◽  
◽  
G.N. Aleeva ◽  
R.Kh. Khafizianova ◽  
◽  
...  
Keyword(s):  

2021 ◽  
pp. 111144
Author(s):  
Yuzhou Wang ◽  
Zhengfei Li ◽  
Huanxin Chen ◽  
Jianxin Zhang ◽  
Qian Liu ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 228598-228604
Author(s):  
Yongqiang Zhao ◽  
Shirui Pan ◽  
Jia Wu ◽  
Huaiyu Wan ◽  
Huizhi Liang ◽  
...  

Procedia CIRP ◽  
2016 ◽  
Vol 57 ◽  
pp. 259-264 ◽  
Author(s):  
Robert Glawar ◽  
Zsolt Kemeny ◽  
Tanja Nemeth ◽  
Kurt Matyas ◽  
Laszlo Monostori ◽  
...  

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