General questions: In general questions have try to collect general and demographic information about respondents. This section includes 4 questions (gender, age, education, and occupation).
B) Specialized questions: This section contains 49 questions. In the design of this section, the questions of the questionnaire have been as comprehensible as possible. To design this section, a five-choice Likert spectrum has been used, which is one of the most commonly measure scales. The general form and scoring of this spectrum for positive questions are as follows:
General form: totally disagree, disagree, no idea, agree, totally agree
Scoring: 1 2 3 4 5
Hidden variables Obvious …show more content…
Research variables
Observed variables Hidden variables involving compatibility adaptability apostolate Organizational culture administrative factor political factor economic factor social factor Administrative health reliability success orientation Work conscience
Confirmatory factor analysis
Before fitting the model, we use a confirmatory factor analysis. A confirmatory factor analysis indicates whether the designed scale (questionnaire) is valid for data collection or not. The confirmatory factor analysis is a method for calculating structural validity. Therefore, by using the confirmatory factor analysis, the general structure of the research questionnaire is content validity. In Table 1, the results of the confirmatory factor analysis of the research variables were obtained by the LISREL software.
Table 1-2 Confirmatory factor analysis
Computational error Standard load factor Variable
19/0 78/0 involving
12/0 42/0 compatibility
17/0 37/0 adaptability
49/0 41/0 apostolate
09/0 53/0 administrative factor
16/0 51/0 political factor
06/0 37/0 economic factor
05/0 41/0 social factor
05/0 50/0 reliability
02/0 60/0 success …show more content…
The more the factor load is closer to one, the observed variable can better explain the hidden variable. If the factor load is less than 0.3, the relationship is considered weak and ignored. Factor loads are considered to be more than 0.3 acceptable. According to the results of the above table, all factor loadings are more than 0.3, that is, conceptual model of research is suitable for studying hypotheses. In the next step, the degree of the research data adaptation and the conceptual model of the research is examined whether it is suitable fitting and on the other hand, the relationships of this fitted model are meaningfully tested. The appropriate fitness indexes of the model included , GFI, AGFI, RMSEA. For this analysis, Liserl software has been
B) Specialized questions: This section contains 49 questions. In the design of this section, the questions of the questionnaire have been as comprehensible as possible. To design this section, a five-choice Likert spectrum has been used, which is one of the most commonly measure scales. The general form and scoring of this spectrum for positive questions are as follows:
General form: totally disagree, disagree, no idea, agree, totally agree
Scoring: 1 2 3 4 5
Hidden variables Obvious …show more content…
Research variables
Observed variables Hidden variables involving compatibility adaptability apostolate Organizational culture administrative factor political factor economic factor social factor Administrative health reliability success orientation Work conscience
Confirmatory factor analysis
Before fitting the model, we use a confirmatory factor analysis. A confirmatory factor analysis indicates whether the designed scale (questionnaire) is valid for data collection or not. The confirmatory factor analysis is a method for calculating structural validity. Therefore, by using the confirmatory factor analysis, the general structure of the research questionnaire is content validity. In Table 1, the results of the confirmatory factor analysis of the research variables were obtained by the LISREL software.
Table 1-2 Confirmatory factor analysis
Computational error Standard load factor Variable
19/0 78/0 involving
12/0 42/0 compatibility
17/0 37/0 adaptability
49/0 41/0 apostolate
09/0 53/0 administrative factor
16/0 51/0 political factor
06/0 37/0 economic factor
05/0 41/0 social factor
05/0 50/0 reliability
02/0 60/0 success …show more content…
The more the factor load is closer to one, the observed variable can better explain the hidden variable. If the factor load is less than 0.3, the relationship is considered weak and ignored. Factor loads are considered to be more than 0.3 acceptable. According to the results of the above table, all factor loadings are more than 0.3, that is, conceptual model of research is suitable for studying hypotheses. In the next step, the degree of the research data adaptation and the conceptual model of the research is examined whether it is suitable fitting and on the other hand, the relationships of this fitted model are meaningfully tested. The appropriate fitness indexes of the model included , GFI, AGFI, RMSEA. For this analysis, Liserl software has been