Contents & References of Investigating and ranking the role of marketing mix components in the university selection process by students
List:
Title .
1-1 Introduction..1
1-2 State the problem.1
1-3 Importance and necessity of research.3
1-4 Research objectives.4
1-4-1 General objectives. 4
1-4-2 partial objectives. 4
1-5 research questions. 4
1-5-1 general questions. 4
1-5-2 partial questions. 5
1-6 research scope. 5
1-7 research methodology.5
1-8 application of research results. 6
1-9 Research variables. 7
1-10 definition of variables. 7
1-10-1 conceptual definition of variables. 7
1-10-2 operational definition of variables. 8
1-11 definition of words. 9
Chapter two. 10
Research literature and background. 10
2-1 introduction. 10
2-2 Definition of marketing.10
2-3 Marketing mix.12
2-4 Definition and concept of decision making. 13
2-5- Consumer behavior. 15
2-5-1 Buyer orientation. 16
2-6 Services. . 19. 2-6-1 definition of services. 19
2-6-2 service characteristics. 20
2-6-3 types of services. 21
2-6-4 service marketing mix. 22
2-7 marketing in higher education. 24
2-8- Marketing mix in higher education. 24
2-9 Effective marketing mix components in choosing a university by students. 25
2-9-1 Product (service).25
2-9-2 Price.29
2-9-3 Promotion.33
2-9-3-1 Advertising.34
2-9-3-2 Sales Promotion.35
2-9-3-3 Public Relations.35
2-9-3-4 Personal selling.36
2-9-3-5 Direct marketing.36
2-9-4 Location.37
2-9-5 People (faculty and university staff).39
2-9-6 Physical evidence.40
2-9-7 Operation or process.41
2-10 Internal research.43
2-11 External background.43
2-12 Ilam University overview.51
2-13 Conclusion and presentation of the research conceptual model.53
Chapter three.55
Research method.55
3-1 Introduction.55
3-2 Research methodology.55
3-3 Research process.56
3-3-1 Statistical population under study.
3-3-2 Statistical sample.56
3-3-3- Sampling method.56
3-3-4- Method of determining sample size.56
3-4 Sources and collection methods Information. 57
3-4-1 Library studies.57
3-4-2 Field studies.57
3-5 Questionnaire analysis.57
3-6 Questionnaire reliability or reliability.58
3-7 Determining the validity or validity of the questionnaire.59
3-8- Data analysis method.59
3-8-1 Kolmogorov-Smirnov test.60
3-8-2 Structural equation modeling model.60
3-8-3 Fit criteria.60
3-9 Chapter summary.63
Chapter four.64
Analysis of data.64
4-1 Introduction. 64
4-2 Data analysis. 64
4-2-1 Descriptive analyses. 64
4-2-1-1 Frequency distribution of respondents according to gender. 65
4-2-1-2 Frequency distribution of respondents according to faculty. 66
4-2-1-3 Distribution of frequency of respondents according to degree. Education. 66
4-2-1-4 distribution of the frequency of respondents according to native or non-native. 67
4-2-1-5 distribution of the frequency of respondents according to age. 68
4-2-1-6 distribution of the frequency of respondents according to night and day training courses. 68
4-2-1-7 distribution of the frequency of respondents according to the variables of the mixed latent concept. Marketing. 69
4-3 Standardization of tools for measuring research concepts. 69
4-3-1 Confirmatory factor analysis of market mixes. 70
4-3-2- Confirmatory factor analysis of the latent concept of marketing mix. 72
4-4- Data normality test. 74
4-4-1 Calculation of skewness and kurtosis. .74
4-4-2 test74
4-4-2 Shapiro-Wilk test or Kolmogorov-Smirnov test. 74
4-5 Results of examination, analysis of questions. 75
4-5-1 Results of examination of the first research question. 75
4-5-2 Results of examination of the second research question. 76
4-5-3 Results of examination of the third question Research.77
4-5-4 The results of the fourth research question.77
4-5-5 The results of the fifth research question.78
4-5-6 The results of the sixth research question.79
4-5-7 The results of the seventh research question.80
4-5-8 Ranking of mixed components.80
4-6 Analysis based on demographic characteristics.85
4-6-1 The effect of gender on each of the variables.85
4-6-2 The effect of age on each of the variables.86
4-6-3 The effect of the faculty on each of the variables.86
4-6-4 The effect of being native and non-native on each of the variables.87
4-6-5 The effect of day and night training courses on each of the variables.87
4-6-6 The effect of education on each of the variables.88
4-7 Summary of the chapter.89
The fifth chapter.90
Conclusion and suggestions.90
5-1 Introduction.90
5-2 The results of the review Research questions. 90
5-2-1 The results of the first question. 90
5-2-2 The results of the second question. 91
5-2-3 The results of the third question. 91
5-2-4 The results of the fourth question. 92
5-2-5 The results of the fifth question. 92
5-2-6 The results of the question Sixth. 93
5-2-7 The results of the seventh question.93
5-3 suggestions.94
5-3-1 suggestion to university administrators.94
5-3-2 suggestion to future researchers.95
5-3-3 research limitations.95
List of sources.96
Appendix. 105
Lisrel software output. 105
Measuring models of marketing mix variables. 106
List of tables
Title
Table 2-1 summary of services marketing studies. 23
Table 3-1 Sources used to measure model constructs. 58
Table 3-2 Reliability domain. 58
Table 3-3 reliability of the questionnaire by each variable. 58
Table No. 4-1 frequency distribution of respondents according to gender. 65
Table 4-2 distribution of frequency of respondents according to faculty. 66
Table 4-3 distribution of frequency of respondents according to educational level. 66
Table 4-4 distribution of frequency of respondents according to native or Non-native.67
Table 4-5 Distribution of the frequency of respondents according to age.68
Table 4-6 Distribution of the frequency of respondents according to night and day training courses. 68
Table 4-7 Distribution of the frequency of respondents according to variables of the latent concept of the marketing mix. 69
Table 4-8 Confirmatory factor analysis of mixtures 69
Table 4-9 factor loadings of market composite components. 70
Table 4-10 factor loadings of market composites. 71
Table 11-4 fit indices of the research variable measurement model. 73
Table 4-12 data normality test (calculation of skewness and kurtosis). 74
Table 4-13 Data normality test (Kolmogrove-Smirnov test). 75
Table 4-14 one-sample t-statistics for price variable. 76
Table 4-15 results of one-sample t-test for price variable. 76
Table 4-16 one-sample t-statistics for location variable. 76
Table 4-17 results One-sample t-test for location variable. 76
Table 18-4, one-sample t-test statistics for promotion. 77
Table 19-4, results for one-sample t-test for promotion variables. 77
Table 20-4, one-sample t-test for physical evidence. 78
Table 4-21, results for one-sample t-test for evidence variables. physical. 78
Table 22-4 one-sample t-statistics of the product variable. 78
Table 4-23 of the results of the one-sample t-test of the product variable. 79
Table 24-4 of the one-sample t-test of the process variable. 79
Table 4-25 of the results of the one-sample t-test of the process variable. 79
Table 4-26 One-sample T-statistics of individuals. 80
Table 4-27 Results of one-sample T-test of individuals.