Page 14 - Azerbaijan State University of Economics

THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.77, # 2, 2020, pp. 4-39

VALIDATE THE STUDY TOOL:
The questionnaire was presented to (6) arbitrators who are specialists in the
administrative field and professors of administration in Jordanian universities to
ensure the validity of the questionnaire. Their views were taken into account and
their observations were taken into account.

STABILITY OF THE STUDY TOOL:
The stability of the study tool was extracted using Cronbach's Alpha coefficient for
internal consistency in its final, overall form, and for each variable in all its
dimensions, and the results were as shown in Table (2) as follows:
Table 2: The value of the Cronbach alpha coefficient of internal consistency for
each dimension of the study variables.
Tool Dimension Stability coefficient
(Cronbach alpha)
Driving attractiveness 0.84
Transformational Inspiring motivation 0.85
Leadership Creative encouragement 0.89
Individual attention 0.81
Strategic agility Strategic sensitivity 0.91
Organizational capabilities 0.89
Strategic response 0.82
Total 0.91

The results in Table (2) indicate that the stability coefficients for the transformational
leadership dimensions ranged between (0.81-0.89). As for the dependent factor,
strategic agility ranged between the stability coefficients (0.82-0.91), and the overall
(0.91). These values are considered acceptable for the purposes of the study. Note that
the acceptable internal consistency ratio is (0.60 and above).

STATISTICAL PROCESSING:

The study uses the Statistical Package for Social Sciences (SPSS.22) program to
process data to answer the paragraphs of the study tool and test its hypotheses,
according to the following statistical treatments:
1- Calculating the frequencies and percentages to describe the characteristics of the
study sample, and calculating the arithmetic averages, and standard deviations to
answer the study questions.
2- Calculation of multiple regression analysis to test the validity of the study model,
and the effect of the independent variable and its dimensions on the dependent
variable and its dimensions.
3- Graduated multiple regression analysis to test the entry of independent variables
into the dependent variable prediction equation.

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