تدوین الگوی پیش‌بینی اختلالات عاطفی - رفتاری کودکان بر اساس مهارت‌های اجتماعی و اضطراب مادرانشان با میانجیگری خودپنداره کودکان

نوع مقاله : مقاله پژوهشی

نویسندگان

• سلوی شمس الدینی لری ¹
• فریده دوکانه ای فرد ²
• عبدالله شفیع آبادی ³

¹ رشته مشاوره

² گروه مشاوره،دانشکده علوم تربیتی و مشاوره،دانشگاه آزاد اسلامی واحدرودهن،تهران،ایران.

³ استاد تمام،گروه مشاوره،دانشکده روانشناسی و علوم تربیتی، دانشگاه علامه طباطبایی، تهران،ایران.

چکیده

هدف پژوهش حاضر تدوین الگوی پیش‌بینی اختلالات عاطفی-رفتاری کودکان براساس مهارت‌های اجتماعی و اضطراب مادرانشان با میانجیگری خودپنداره کودکان بود. جامعه آماری کلیه دانش‌آموزان پسر 8 تا 12 ساله 4 مدرسه دولتی منطقه 6 شهر تهران به همراه مادران آنان در سال 1396 بودند. حجم نمونه با توجه به نوع تحقیق و برای جلوگیری از افت آزمودنی450 نفر درنظرگرفته شد.ابزار پژوهش پرسشنامه‌های مهارت‌های اجتماعی گرشام و الیوت، اختلالات رفتاری و رفتاری- عاطفی وودورث، خودپنداره پیرز و هریس است. پس از اتمام پرسشنامه‌ها از مادران آنها خواسته شد که به پرسشنامه اضطراب مارچ در مورد خود پاسخ دهند. سپس پرسشنامه مادرانی که نمرات بالایی در اضطراب کسب کرده بودند با پرسشنامه‌های مربوط به فرزند خود مورد بررسی و تجزیه و تحلیل قرار گرفت و نمرات پایین اضطراب از روند پژوهش خارج شد. در نتایج به دست آمده از ضریب همبستگی، رگرسیون چند متغیری و آزمون تحلیل مسیر استفاده شد. در صورت لزوم تجزیه و تحلیل داده‌ها با استفاده از روش‌های آماری مانند ضریب همبستگی پیرسون در نرم‌افزار SPSS و روش تحلیل مدل معادلات ساختاری در نرم‌افزار Amos به بررسی فرضیه‌های تحقیق پرداخته شد. نتایج نشان داد که مدل پیشنهادی از برازش خوبی برخوردار بوده است.

کلیدواژه‌ها

• اضطراب
• خودپنداره
• اختلالات عاطفی- رفتاری
• مهارت‌های اجتماعی

20.1001.1.22285516.1397.9.32.12.4

موضوعات

• روش ها و مدل های روانشناختی

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عنوان مقاله [English]

preparing pattern for anticipating emotional-behavioral patterns of children based on social skills and anxiety of mothers with self-concept mediation of children

نویسندگان [English]

• salva shamseddini lory ¹
• Farideh Dokanehi Fard ²
• AbdolAllah Shafi Abadi ³

¹ conseling

² Department of Counseling, Faculty of Educational Sciences and Counseling, Islamic Azad University, Roudehen Branch, Tehran, Iran

³ Professor, Department of Counseling, Faculty of Psychology and Educational Sciences, Allameh Tabatabaei University, Tehran, Iran.

چکیده [English]

The purpose of this study was to develop a model for predicting children's emotional-behavioral disorders based on social skills and anxiety of their mothers through mediation of children's self-concept. The research was applied in terms of purpose and in terms of correlation, exploratory, and directed and multivariate type. The statistical population includes all 8-12 year old male students in 4 public schools in district 6 of Tehran along with their mothers. The number of students was requested according to the list of education in the region, of which 2345 were. Multi-stage sampling. The sample size was considered according to the type of research and to prevent the depression of 450 students. The research tool was social skills, behavioral disorders and self-concept. After completing the questionnaires, their mothers were asked to respond to their anxiety questionnaire. Then, the mothers who had high scores in anxiety questionnaire were analyzed by questionnaires for their child and low anxiety scores were excluded from the research process. Then these students were examined with Woodworth’s questionnaire of behavioral-emotional disorders, social skills of Gresham and Elliott, March multi-aspect anxiety questionnaire, self-concept questionnaire of Pierz and Harris and results showed that it was benefit from correlation coefficient, multi-variable regression and path analysis and in case of necessity, it is benefit from statistical methods for analyzing data including: Pearson correlation coefficient, SPSS software and method for analyzing structural equations and Amos software for examining research hypothesis. Results showed that the recommended model has suitable level of goodness of fit.

کلیدواژه‌ها [English]

• anxiety
• self-concept
• Emotional and Behavioral Disorders
• Social Disorders

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