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إلثورإت : مفهومها وطبيعتها وأنوإعه

Research Abstract
ولد فهىدؾا الردؾرة )Revolution ) فد تدررخ اللودؾا هه دىر لدر ال د الردرفؽ ر،د س وامددو ا ول فد ة مدد 1727اس ثدؼ اهو،دد ت المو د ة دد ر لوح يث رؽ ليزخرء هيؾتؽ وغ ا شرئلر لر دائ ة فلررف لالمه ا هدؾار ووصبد 1 لمل روؼ ثؾرته ) ( ؛ و الرؾرة فدؽ ال طدظوحرت ال مد ف الودر واظ در عىدؾر ال ول والحيرة ال يرمي ف ذ فر ق ل الودررخ س وفد ص فهىدؾا الردؾرة الدذد مدرد رودد غيدد ن فددؽ ال هددرويؼ وددؾ ثددؾرة ال،ددلد أدد ا مددول رر صو أدد صهغ دد امو ادي سإ ص فهد دة الردؾرة ل د ت وطد رود ودذا اللرهدد دل ت،د ل دل للدل يدإدد إلد ت ييد ا وأدرذ ت ييد ا ادذرخر مدؾاء رهدر صوأدررر ط يليد صو ميرمي او اقوطردي صو ااو رري ووفدؽ و در ت دول ل و د ثدؾرة لدر مديرقرت ف ووه رل ؾل ةرلرؾرة الط رري صو الردؾرة الوم ؾلؾايد الد لؾبدت الو ييد ات 2 اللؾو خ الور تظ ص رو حيرة ال،لؾب ورو الحمررة اإله رهي
Research Department
Research Journal
دار الافاق
Research Member
Research Pages
90
Research Publisher
دار الافاق
Research Rank
2
Research Vol
.....
Research Website
NULL
Research Year
2010

A Wound Inflicted by a Friend does not Heal: Structure Equation Modelling (SEM) of Child Maltreatment, its Dimensions and their Demographic Parameters

Research Abstract
PURPOSE: Socio-demographic factors such as gender, age, residence, parental marital status, parental education level, family monthly income and number of children in family under 18 play an important role in people’s day to day lives and especially in the maltreatment of children. The present study identifies these seven socio-demographic factors, which are hypothesized to influence maltreatment of children through three dimensions (1) What kind of abuse did you suffer from as a child? (2) Who abused you? (3) Who abused you more? METHODS: Exploratory Factor Analysis and Confirmatory Factor Analysis along with path diagrams are used to extract children’s maltreatment from the factors and Structural Equation Modeling is run to verify the above factor structure and evaluate the influence of predictors on child maltreatment. FINDINGS: The corresponding beta (β) coefficient in the regression equation shows that education and gender are statistically the predictors of child maltreatment at 5% level of significance and affect it through two dimensions (except Who abused you more?). CONCLUSION: Women are more likely to treat their children badly. People with better education are found to enact maltreatment of children. Other socio-demographic factors are not statistically significant in terms of impacting child maltreatment.
Research Department
Research Journal
SSRG International Journal of Humanities and Social Science ( SSRG - IJHSS )
Research Pages
2394 - 2703
Research Publisher
NULL
Research Rank
1
Research Vol
Vol 5, Issue 1
Research Website
DOI10.14445/23942703/IJHSS-V5I1P103
Research Year
2018

Given the Demographics of Emotional Divorce of Spouses – How to Minimize It, Using Structural Equation Modeling: A Case Study in Egypt

Research Abstract
This study identifies eight factors: age, gender, education, occupation, place of residence, duration of marriage, number of previous marriages and number of children within the marriage, which can affect the occurrence of emotional divorce. These eight factors are explored through nine dimensions: emotional, intellectual, social-recreational, psychological, temporal, sexual, spiritual, physical and economic. Exploratory and Confirmatory Factor Analysis and path diagrams are used to extract emotional divorce from the eight factors. Structural Equation Modeling (SEM) is run to verify the above factor structure and evaluate the influence of each variable on emotional divorce. The corresponding beta coefficients in the regression equations reveal that education is the most dominant predictor of emotional divorce, with a 5% level of significance. It is equally predominant through seven of the nine dimensions (all excluding temporal). It is concluded that demographic factors such as age, gender and education levels play an important role in people’s day-to-day lives, particularly within marriages.
Research Department
Research Journal
International Journal of Social Work
Research Pages
49-70
Research Publisher
Macrothink Institute
Research Rank
1
Research Vol
3 (2)
Research Website
DOI: http://dx.doi.org/10.5296/ijsw.v3i2.10200
Research Year
2016

Given the Demographics of Emotional Divorce of Spouses – How to Minimize It, Using Structural Equation Modeling: A Case Study in Egypt

Research Abstract
This study identifies eight factors: age, gender, education, occupation, place of residence, duration of marriage, number of previous marriages and number of children within the marriage, which can affect the occurrence of emotional divorce. These eight factors are explored through nine dimensions: emotional, intellectual, social-recreational, psychological, temporal, sexual, spiritual, physical and economic. Exploratory and Confirmatory Factor Analysis and path diagrams are used to extract emotional divorce from the eight factors. Structural Equation Modeling (SEM) is run to verify the above factor structure and evaluate the influence of each variable on emotional divorce. The corresponding beta coefficients in the regression equations reveal that education is the most dominant predictor of emotional divorce, with a 5% level of significance. It is equally predominant through seven of the nine dimensions (all excluding temporal). It is concluded that demographic factors such as age, gender and education levels play an important role in people’s day-to-day lives, particularly within marriages.
Research Department
Research Journal
International Journal of Social Work
Research Pages
49-70
Research Publisher
Macrothink Institute
Research Rank
1
Research Vol
3 (2)
Research Website
DOI: http://dx.doi.org/10.5296/ijsw.v3i2.10200
Research Year
2016
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