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در جدول شماره 12– 4 نتایج آزمون T مستقل بین میانگین نمرات اختلافی پیش آزمون و پس آزمون نمره خرده مقیاس تعارض كار – خانواده بین دو گروه آزمایش و کنترل آورده شده است. بر اساس نتایج مندرج در جدول (1 / 15 – t = ) می باشد. چون T محاسبه شده کوچکتر از t جدول با درجه ازادی 22 در سطح p = ./ 05) )یک دامنه (72 / 1-t = )معنادار می باشد. بنابراین فرضیه صفر را با احتمال 95 / . رد می کنیم و فرضیه فرعی اول مبنی بر این که گروه درمانی با الگوی شادمانی فوردایس بر کاهش نمره خرده مقیاس تعارض کار – خانواده موثر است را تایید می کند.
3-3-4 فرضیه فرعی دوم:
گروه درمانی با الگوی شادمانی فوردایس بر کاهش تعارض خانواده – كار موثر است.
نمودار 4– 4 بررسی خطی بودن رابطه پیش آزمون و پس آزمون خرده مقیاس تعارض کار – خانواده در دو هرگروه و همگنی ضرایب رگرسیون در دوگروه
 جهت دانلود متن کامل این پایان نامه به سایت abisho.ir مراجعه نمایید.

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همان طور كه از نمودار بالا ملاحظه می كنید رابطه پیش آزمون و پس آزمون نمره خرده مقیاس تعارض خانواده – كار در هر دو گروه خطی می باشد (96 /. R = ) در گروه كنترل و (45 /. R = ) در گروه آزمایشی. كه هر دو در سطح 05 / . P < معنادار می باشد. موازی بودن دو خط ( آبی و سبز ) حاكی از همگنی ضرایب رگرسیون در دوگروه می باشد.
5 – همگنی واریانس ها: در جدول 13– 4 نشان می دهد که واریانس های دو گروه همگن می باشد.
جدول 13– 4 نتایج مقایسه واریانس های دو گروه آزمایش و کنترل در پس آزمون با کنترل پیش آزمون:

 

 

 

 

 

 

 

 

شاخص F Df1 Df2 سطح معناداری
آماره 91 / 2 1 22 10 / .

نتایج جدول 13– 4 نشان می دهد كه واریانس نمره های پس آزمون برای ازمودنی های دارای نمره یكسان در پیش آزمون برای دو گروه كنترل و ازمایش یكسان است.(91 / 2F = ، 10 / .P = ) عدم معناداری05 / . <P حاكی از برابر بودن واریانس ها است.
6- نرمال بودن داده ها: که با آزمون کالموگرف اسمیرنف سنجیده شد.89 / .Z = و
معناداری49 / . p =برای پس آزمون و 58 / .Z = و معناداری89 / . p= برای پیش آزمون بدست آمد که نشان می دهد. عدم معناداری05 / . <P حاكی ازاین است كه هر دو داده نرمال می باشند.
با رعایت و بررسی این مفروضات بنابراین مجاز به استفاده از این آزمون می باشیم. در جداول زیر این نتایج نشان داده می شود:
جدول 14-4 نتایج توصیفی خرده مقیاس تعارض خانواده – كار در پیش آزمون و پس آزمون

 

 

 

 

 

 

 

 


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