10.01.2016 Views

International Teacher Education Conference 2014 1

itec2014

itec2014

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>International</strong> <strong>Teacher</strong> <strong>Education</strong> <strong>Conference</strong> <strong>2014</strong><br />

of missing answers to some questions. Thus, 255 participants completed all of the questionnaires. The subjects<br />

ranged in age from 15 to 20 years (mean age = 17.35 years; standard deviation = 0.78). In terms of experience,<br />

the players’ amount ran the gamut from 0 (inexperience) to 10 years (mean age = 2.66 years; standard deviation<br />

= 3.04). The age and experience of all of the participants (coaches and football players) were categorized into<br />

three groups.<br />

Statistical Analysis<br />

The main purpose of this study was to examine the relationship between transformational leadership style of<br />

coaches and sport commitment of Iranian high schools’ football players, and to provide a direct model with two<br />

variables. The data was analyzed through Structural Equation Modeling (SEM) using AMOS 18 (Arbuckle,<br />

2009) in order to investigate a model which reflects purposes of this study. In addition, the one-way ANOVA<br />

was utilizing to determine the sport commitment differences in age and football playing experience category.<br />

Procedure<br />

Permission was obtained from the Iranian Ministry of <strong>Education</strong> to gather the data, whereupon the researcher<br />

attended a meeting with high school coaches and administrators. The researcher elucidated the objectives and<br />

aims of the research and requested the cooperation of the coaches and administrators in carrying out the<br />

research. They were willing to assist the researcher in the gathering of data. The researcher handed out the<br />

coaches’ demographic questionnaire to the 15 coaches and collected them after the coaches filled them out. The<br />

researcher met each team in its respective dormitory to delineate the objective of the study; the researcher gave<br />

the team members lucid instructions. Demographic, transformational (Rater form) and sport commitment<br />

questionnaires were distributed among football players, and then the completed questionnaires were collected by<br />

the researcher. It took about 30 minutes for the students to answer the questionnaires and they were requested to<br />

answer all questions.<br />

RESULT<br />

Structural model was used to analyze hypotheses 1. As illustrated in Table 1 there is a positive and significant<br />

medium correlation, r = 0.419 (Cohen, 1988) between the transformational leadership style of coaches and the<br />

sport commitment of high schools’ football players in Iran at ρ value < 0.001. Therefore, the null hypothesis can<br />

be rejected (reject H 01 at α = 0.001).<br />

Table 1: Correlation Estimate among the Variables in the Measurement Model<br />

Transformational Sport Commitment 0.419*<br />

* Significant level at α < 0.001<br />

The result as shown in Table 2 showed that transformational leadership style of coaches significantly<br />

contributed toward the prediction sport- commitment of high schools' football players (β = 0.478, B = 0.477,<br />

S.E. = 0.092, C.R .= 5.185. ρ = 0.000). The result based on standard regression weight (β) indicated that when<br />

transformational leadership goes up by 1 standard deviation (SD), sport commitment goes up by 0.478 standard<br />

deviations. Thus, the H 01 was supported by the data.<br />

The unstandardized estimate (unstandardized regression coefficient) or B (0.477) indicated that when<br />

transformational goes up by 1 SD, sport commitment goes up by 0.477 standard deviations. The regression<br />

weight estimate, 0.477, has a standard error about 0.092. Critical Ratio (C.R.) calculated from dividing the<br />

unstandardized estimate (B) by the estimate of its standard error (S.E.) (Z = 0.477 / 0.092 = 5.185). In other<br />

words, the regression weight estimate is 5.185 standard errors above zero (Table 2). If an estimate has a critical<br />

ratio greater than two (in absolute value), the estimate is significantly different from zero at the 0.05 level (C.R.<br />

= 5.185 > 1.96, ρ < 0.05) (Arbuckle, 2009). Thus, the table shows that the covariance between transformational<br />

and sport commitment is significantly different from 0 with ρ = 0.000 (at ρ level < 0.001).<br />

Table 2: Standardized Regression Weights: Total Structural Model<br />

DV path IV Unstand S.E. Standard C.R. ρ*<br />

Estimate<br />

Estimate<br />

Sport<br />

Commitment<br />

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!