Contents & References of Comparison of active schemas in depressed subjects with anxious subjects
Index:
Table of Contents
Abstract. 1
Chapter One: General research. 2
1-1- Introduction. 3
1-2- statement of the problem. 3
1-3- Importance and necessity of research. 5
1-4- research objectives. 6
1-5- variables. 6
1-6- Research questions. 6
1-7- research hypotheses. 6
1-8- Terminology. 7
Chapter Two: Literature and research background. 10
2-1- Introduction. 11
2-2- History of schema. 12
2-3- Schema definition. 13
2-4- Childhood experiences and incompatible schemas. 16
2-5- schematic mentalities. 18
2-6- Schema areas and initial inconsistent schemas. 20
2-7- Scheme functions. 27
2-8- Continuity of schema. 27
2-9- Schema improvement. 28
2-10- incompatible coping styles. 28
2-11- Schematic extreme compensation. 29
2-12- Schema avoidance. 29
2-13- Submission of schema. 30
2-14- Clinical appearance of active schemas related to depression and anxiety. 30
2-15- What is meant by depression?. 32
2-16- Etiology of depression. 33
2-17- Depression from the point of view of biological theories. 34
2-18- Mental status examination. 39
2-19- DSM-IV-TR criteria regarding the period of major depression. 40
20-2- Treatments for depression disorders. 41
2-20-1- Psychological treatments for depression. 41
2-21- Anxiety. 44
2-22- The difference between fear and anxiety. 45
2-23- Anxiety disorders. 46
2-24- Signs of anxiety. 47
2-25- Social anxiety disorder. 47
2-26- Etiology. 48
2-26-1- Behavioral factors. 48
2-26-2-cognitive factors. 48
2-27- Theories of anxiety. 48
2-27-1- Biological theory. 48
2-27-2- Theory of behaviorism. 49
2-27-3- Psychoanalytic theory. 49
2-27-4- Cognitive theory. 49
2-27-5- Biological sciences. 50
2-28- Research background. 51
Chapter three: research method. 62
3-1- Research method. 63
3-2- Statistical population. 63
3-3- Sampling method and statistical sample. 63
3-4- Implementation method. 63
3-5- Research tools. 64
3-6- Data analysis method. 66
Chapter four: Data analysis. 67
4-1- Descriptive data analysis. 68
4-1-1- Anxious group. 68
4-1-2- Depressed group. 68
4-1-3- Normal group. 69
4-2- Inferential analysis of data. 70
4-2-1- The main hypothesis of the research. 72
4-2-2- Research sub-hypotheses. 76
4-2-2-1- The first sub-hypothesis. 76
4-2-2-2- The second sub-hypothesis. 77
4-2-2-3- The third sub-hypothesis. 78
4-3- step by step linear regression analysis. 79
4-3-1- Predicting schemas affecting depression. 79
4-3-2- Predicting schemas affecting anxiety. 83
4-4- Results of artificial neural network analysis. 85
4-4-1- Predicting the difference in anxiety and depression in terms of schemas. 85
4-4-2- Prediction of the most important patterns in causing depression and anxiety. 87
Chapter five: discussion and conclusion. 93
5-1- Introduction. 94
5-2- Discussion and conclusion. 94
5-3- Research limitations. 98
5-4- Research suggestions. 98
Sources and sources. 99
Persian sources. 100
English sources. 102
Appendixes. 104
Young schema questionnaire. 105
DASS depression, anxiety and stress questionnaire. 110
Demographic form. 112
Data output. 113
List of tables
Table 3-1: Cut points according to severity of depression, anxiety and stress subscales. 65
Table 4-1: Frequency distribution of demographic variables of anxious group members. 68
Table 4-2: Frequency distribution of demographic variables of depressed group members. 68
Table 4-3: Frequency distribution of demographic variables of the members of the normal group. 69
Table 4-4: Frequency distribution of academic fields of members of anxious, depressed and normal groups. 69
Table 5-4: Mean and standard deviation of anxiety and depression scores of three depressed, anxious and normal groups. 70
Table 6-4: Independent t-test results to compare anxiety and depression averages in two anxious and depressed groups.71
Table 7-4: The results of the t test to compare the averages of the schemas of the domain of dissociation and rejection in two depressed and anxious groups. 72
Table 8-4: The results of the t-test to compare the averages of the self-management/impaired functioning schemas in the two depressed and anxious groups 73
Table 9-4: The results of the t-test to compare the averages of the impaired limitation schemas in the two depressed and anxious groups. 73
Table 10-4: The results of t test to compare the averages of schemas of other-orientedness domain in two depressed and anxious groups. 74
Table 11-4: The results of the t-test to compare the averages of pre-preparation/pre-inhibition schemas in two depressed and anxious groups 74
Table 12-4: Statistical indices of the eighteen schemas sorted from the highest to the lowest in the depressed group. 76
Table 13-4: Statistical indices of the 18 schemes sorted from the highest to the lowest in the normal group. 77
Table 14-4: Statistical indices of the 18 schemes sorted from the highest to the lowest in the normal group. 78
Table 15-4- Summary of stepwise multiple regression analysis to explain students' depression based on schemas. 80
Table 16-4- Step-by-step multiple regression analysis of variance to predict the level of depression of the studied students. 81
Table 17-4- Regression coefficients for predicting the level of depression of the studied students. 83
Table 18-4- Summary of step-by-step multiple regression analysis to explain students' anxiety based on schemas. 83
Table 19-4- Step-by-step multiple regression analysis of variance to predict the level of anxiety. 84
Table 20-4- Regression coefficients for predicting the anxiety level of the studied students. 85
Table 4-21- Summary of the process performed. 85
Table 22-4- Comparing the importance of depression and anxiety in neural network prediction. 87
Table 4-23- Summary of the process performed. 87
Table 24-4- Classification of cases in depression. 90
Table 25-4- Classification of cases in anxiety. 90
Table 26-4- The importance of schemas in neural network prediction. 91
List of diagrams
Chart 4-1- Architecture structure of artificial neural network analysis. 86
Chart 4-2- Comparing the importance of depression and anxiety in neural network prediction. 87
Chart 4-3- Architecture structure of artificial neural network. 89
Chart 4-4- The importance of schemas in neural network prediction. 92
Source:
Persian sources
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