arget="_self" id="return38"> (Campillo, Salguero, Márquez, & Molinero, 2013) .

The purpose of this study is to explore the validation of the Arabic version of ISCCS and examine its psychometric properties.

2. Methodology

The sample used in this study consists of 419 athletes (273 male and 146 female) that have voluntarily participated in this study (mean age 16.79 years and 3.82). They represent different competitive disciplines, including 294 team sports and 125 individual sports.

All our athletes regularly participate in official competitions nationwide, among them international required preparing to take part in the Olympic Games in 2016 (the Tunisian national team of canoe Kayak).

3. Procedure

Gaudreau and Blondin (2002) proposed the ISCCS. They identify 39 items, divided into ten subscales (mental imagery, control of thoughts, relaxation, invested effort, seeking support, analysis logic, negative emotions extraction, mental distraction, resignation and social avoidance).

We are referred to the back-translation procedure (see Vallerand, 1989 ) to get the translation of the Arabic ISCCS version.

Athlete participation was voluntary. We require managers and coaches authorization of each athlete. Their anonymity was assured, and parental consent is required for those under 18 years.

Before data collection, all athletes were widely informed about the purpose and study procedures, and were informed that the results would be made available at the end of the study. Participants respond to a Liker scale of 5 points, ranging from 1 (never) to 5 (always). Each participant completed a socio-demographic form indicating their age, gender, sport and its affiliate club. The ISCCS was administered 2 hours at maximum 1 day after competition. According to Gaudreau and Blondin (2002) , the peculiarity of this questionnaire is to be used before, during and after competition. Unfortunately, we were forbidden to ask athletes before and during the competition. Therefore, our study is limited to the after competition period.

4. Data Analysis

Data descriptive analyses of study groups (mean, standard deviation) are provided in Table 1.

The ISCCS temporal stability

Table 1. Mean scores and the respective standard deviations for each subscale of the ISCCS.

We calculate the test-retest index to study the ISCCS temporal stability. The athlete is observed twice times by waiting a certain period of time between two collections (2 weeks). The stability is established by the degree of correlation between the answers provided by the same subject (N = 20), (Shrout & Fleiss, 1979) .

Internal consistency was measured by calculating the Cronbach’s alpha coefficient between the subscales of the questionnaire. It assesses whether each of the elements reproduced repeatedly and consistently measuring the same construct.

We observed a large number of participants (419) which is higher than the minimum number of 300 suggested by Tabachnick and Fidell (1996) . Confirmatory factor analysis (CFA) was treated with AMOS 22.0.0, in order to validate the structure and arrangement of ISCCS factors.

We use several indices of adequacy (Hoyle & Panter, 1995; Kline, 2005) to evaluate the fit models to data collected such as the χ2 statistic that overcomes the abnormality data (Sattora and Bentler, 1994), the compared fit index CFI (Bentler, 1990) and TLI (Tucker-Lewis Index), the Goodness of Fit Index GFI (Jöreskog & Sörbom, 1984) and the Root Mean Square error of approximation RMSEA (Browne & Cudeck, 1993) .

Finally, we conduct a MANOVA analysis to examine the effects of gender and sport (collective and individual sports) on the use of coping strategies.

5. Results

5.1. Descriptive Analyses

The mean scores and the respective standard deviations for each sub-level are presented in Table 1.

5.2. The Temporal Stability of the Instrument

The reliability data test-retest is studied by the correlation coefficients between the scores of the ISCCS subscales (see Table 2 and Table 3).

As concerned with coping strategies, the Pearson correlation coefficient is 0.95 (Effort Expenditure) and 0.69 (mental distraction), (p ≤ 0.001). Furthermore, overall score correlation coefficient of the questionnaire is 0.97 (p < 0.001).

5.3. The Internal Consistency, Cronbach Alpha

Measured using Cronbach’s alpha, the internal consistency of the Arabic version of ISCCS demonstrated good reliability (Table 4). The coefficients of different coping strategies are from 0.63 to 0.75. For the two dimensions (coping task-oriented and

Table 2. The test-retest coefficients for the subscales TOC of the ISCCS.

Table 3. The test-retest coefficients for the subscales EOC of the ISCCS.

Table 4. Reliability coefficients for the ten factors in the Arabic version and original version of ICSSC.

oriented coping emotion) coefficients are 0.81 and 0.64 respectively. Otherwise, the overall coefficient of the questionnaire is 0.78.

5.4. Relations between the Subscales of ISCCS

Significant positive correlations (p < 0.05) were observed respectively between mental imagery, the mind control, relaxation, the deployment effort, seeking social support, logical analysis, breakdown of unpleasant emotions and disengagement (between 0.109 and 0.606). The correlation coefficient between isolation and relaxation is 0.180 and between isolation and mental distraction is 0.189.

As shown in Table 5, mental distraction, mental imagery, control of thoughts, Effort Expenditure, logical analysis, the breakdown of unpleasant emotions and disengagement are negatively and significantly correlated (p < 0.05). The scores range from −0.219 to −0.100. A negative correlation is observed also between isolation, the breakdown of unpleasant emotions and disengagement between −0.173 and −0.101.

5.5. Confirmatory Factor Analysis

The six factors model statistics are: [X2 = 359.35; p < 0.001; df: 215; X2/df = 1.67; CFI = 0.92; TLI = 0.91; GFI = 0.93 and RMSEA = 0.040].

Table 5. Correlations between the subscales of ISCCS.

The four factors model statistics are: [X2 = 215.45; p < 0.001; df: 98; X2/df = 2, 20; CFI = 0.93; TLI = 0.91; GFI = 0.94, and RMSEA = 0.054], see Table 6.

The two hypothetical models (6 factors (TOC) and 4 factors (EOC)) parameters were statistically significant at p < 0.05 (see Figure 1 and Figure 2).

Table 6. Confirmatory factor analysis and models of the ISCCS.

Figure 1. The hypothesized model of 6-factor (TOC) of the Arabic version of ISCCS.

Figure 2. The hypothesized model of 6-factor (TOC) of the Arabic version of ISCCS.

For the exploratory factor analysis (Table 7), the factor loadings of the items for the 6-factor model were between 0.547 and 0.757 and between 0.535 and 0.795 for the four-factor model (see Table 8).

Finally a multivariate analysis, MANOVA was conducted to examine the effects of gender and the kind of sport practiced. The results revealed an important effect of sex [Wilks’ lambda = 88; F = 5.54; df = 408; p < 0.001] and the kind of sports practiced [Wilks’ lambda = 77; F = 12.73; df = 408; p < 0.001] on the use of coping strategies.

6. Discussion

For stability over time, we find that the test-retest reliability scores are generally greater

Table 7. Standardized solutions for factor loadings for the task oriented coping (TOC).

or equal than 0.9, indicating a very good repeatability. Usually a high correlation means that the questionnaire remains rather stable over time and that an overall score very close in consecutive reversals. The score ranges between 0.70 and 0.80 for mental imagery and isolation and correlation is rather weak only for mental distraction strategy (r < 0.70).

The coefficients of reliability for mental imagery, control of thoughts, deployment efforts, seeking support, relaxation and isolation are high (0.60 < α < 0.70; Kline, 1998). Also the Cronbach alpha coefficients are reasonable, as they range between 0.70 and 0.80 for logical analysis, the breakdown of unpleasant emotions, mental disengagement and distraction.

There are no big differences between the Arabic and the original form version based on internal consistency. Generally according to DeVellis (1991) , alpha values that are

Table 8. Standardized solutions for factor loadings for the emotion oriented coping (EOC).

above 0.60 are considered as acceptable. Cronbach alpha coefficients of the Arabic version are very close to their original version counterparts.

The inter-scale correlations are significant as the average correlations vary between 0.20 and 0.40 (Briggs & Cheek, 1986) . According to Klein (2005), if the correlation between two factors equal to 1.00 (more than 0.85), the two factors are equal, which implies the omission of one of these two factors. In our study, the inter-scale correlations were in the acceptable range.

For the confirmatory factor analysis, chi-square as well as normed X2 (X2/df) statistics values were important for both models. They are in an acceptable range (X2 ≤ 1/df ≥ 3); see Wheaton, Muthen, Alwin and Summers (1977) and Tabachnick and Fidell, (2007) .

The adjustment indices of the two models (the six factors model and the four factors model): CFI, TLI and GFI are lower than 0.90 (Roussel, Durrieu, Campoy, & El Akremi, 2002) . The RMSEA is respectively lower than 0.05 (Brown, 2006) and 0.06 (Hu & Bentler, 1999) , for the model with six factors and four factors.

For the exploratory factor analysis, standardized factor loadings can be interpreted as Pearson correlations estimated between an indicator and factor (Kline, 2005) . Factor loads of 0.30 and above are commonly used (Brown, 2006) .

For the model of coping oriented emotion, we distinguished saturations with 3 factors. Consequently, we estimated two models: the four factors and the three factors models [X2 = 268.46; p < 0.001; df: 101; X2/df = 2, 66; CFI = 0.89; TLI = 0.88; and RMSEA = 0.063]. The results, suggest the best match of the original four-factor model that we used in the empirical study.

Finally united various analyses have concluded that mental imagery, control of thoughts, research support, the breakdown of unpleasant emotions, and disengagement vary with the athletes sex. More precisely, we find that most men use mental imagery and seeking support, whereas women use control thoughts, the breakdown of unpleasant emotions, and disengagement.

For the practiced sport, the coping strategies: research support, relaxation, ventilation unpleasant emotions, disengagement and mental distraction vary according to the kind of sport practiced. Formally athletes belonging to individual sports use more of the coping strategies indicated above.

However, our study suffers from some limitations. The first limitation concerns the timing of the administered questionnaire: The ISCCS was administered two hours at maximum one day after the competition (retrospective method). We know that this could be a source of bias, the output of the competition (success or failure) could have influenced the answers.

Also, the factor of stability ISCCS through the different phases of a sporting competition has not been tested (Gaudreau & Blondin, 2002) .

Further, we did not ISCCS cross-validation with other scales that invest coping, which affect the choice of the coping strategies used by our participants.

7. Conclusion

In this research, we propose an Arabic version of the inventory of coping strategies in sports competition. The loyalty of the ISCCS being excellent, the majority of the variables used for the validity and sensitivity to change are acceptable. The results of this study suggest that ISCCS is an evaluation tool in the sports field. Moreover, it is valid for assessing coping task-oriented and the coping emotion-oriented in the collective as well as in the individual sport before, during and after the competition. Psychologists and sports practitioners in the Arab world could use ISCCS to differentiate the coping strategies used by athletes and for preventive interventions.

Appendix

Supplementary material: Arabic translated version of the ISCCS.

استبيان استراتيجيات التأقلم في مواجهة قلق المنافسة

ذكر أنثى تاريخ الولادة

الاختصاص الرياضي مركزك في الفريق (الرياضات الجماعية)

لا توجد إجابات صحيحة أو إجابات خاطئة

التوجيهات:

1/ قراءة كل سؤال بتركيز

2/ لا تضيع الكثير من الوقت على كل سؤال

3/ اختر الجواب الذي يصف بشكل أفضل ما شعرت به دقائق قبل المباراة

الأسئلة المؤشر عليها باللون الأسود هي أسئلة ذات اتجاه عكسي

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Cite this paper
Hajji, J. , Baaziz, M. , Mnedla, S. , Jannet, Z. and Elloumi, A. (2016) Validation of the Arabic Version of the Inventory of Coping Strategies of Competitive Sport (ISCCS). Advances in Physical Education, 6, 312-327. doi: 10.4236/ape.2016.64032.
References
[1]   Amirkhan, J. H. (1990). A Factor Analytically Derived Measure of Coping: The Coping Strategy Indicator. Journal of Personality and Social Psychology, from 1066 to 1074.

http://dx.doi.org/10.1037/0022-3514.59.5.1066

[2]   André, N., & Laurencelle, L. (2010). psychological Questionnaires for Physical Activity, Sport and Exercise, an Annotated Directory. Quebec: Presses of the University of Quebec.

[3]   Anshel, H., & Kaissidis, A. N. (1997). Coping Style and Situational Appraisals as Predictors of Coping Strategies Following Stressful Events in Sports as a Function of Gender and Skill Level. British Journal of Psychology, 88, 263-276.

http://dx.doi.org/10.1111/j.2044-8295.1997.tb02634.x

[4]   Anshel, Mr. H., Williams, L. R., & Williams, S. M. (2000). Coping Style Following Acute Stress in Competitive Sport. The Journal of Social Psychology, 140, 751-773.

http://dx.doi.org/10.1080/00224540009600515

[5]   Arsan, N., & Koruc, Z. (2011). Coping Strategies in Sports Competition inventory (ISCCS): Evaluating the Turkish Version by Confirmatory Factor Analysis. Journal of New World Sciences Academy, 6, Article ID: 2B0073.

[6]   Beal, D. J., Weiss, H. M., Barros, E., & MacDermid, S. M. (2005). An Episodic Process Model of Affective Influences on Performance. Journal of Applied Psychology, 90, 1054.

http://dx.doi.org/10.1037/0021-9010.90.6.1054

[7]   Bentler, P. M. (1990). Comparative Fit Indexes in Structural Models. Psychological Bulletin, 107, 238-246.

http://dx.doi.org/10.1037/0033-2909.107.2.238

[8]   Briggs, S. R., & Cheeks, J. M (1986). The Role of Factor Analysis in the Development and Evaluation of Personality Scales. Journal of Personality, 54, 106-148.

[9]   Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. New York: Guilford.

[10]   Browne, V., & Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. In K. A. Bollen., & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136-162). Newbury Park, CA: Sage.

[11]   Bruchon, S. (2002). Health Psychology: Models, Concepts and Methods. Paris: Dunod.

[12]   Calmeiro, L., Tenenbaum, G., & Eccles, D. (2010). Event Sequence Analysis of Appraisals and Coping during Trapshooting Performance. Journal of Applied Sport Psychology, 22, 392-407.

http://dx.doi.org/10.1080/10413200.2010.495325

[13]   Calmeiro, L., Tenenbaum, G., & Eccles, D. (2014). Managing Pressure: Patterns of Appraisals and Coping Strategies of Non-Elite and Elite Athletes during Competition. Journal of Sports Sci- ences, 32, 1813-1820.

http://dx.doi.org/10.1080/02640414.2014.922692

[14]   Calmeiro, L., & Tenenbaum, G. (2007). Fluctuation Cognitive-Emotional States during Performance of: An Idiographic Account. Revista de Psicología del Deporte, 16, 85-100.

[15]   Campillo, L. M. et al., (2013) Analysis of Coping Strategies in Players of Cadet Category, EFDeportes.com, Digital Magazine. Buenos Aires-Year 18-No. 181.

[16]   Carver, C. S., Scheier M. F., & Weintraub, J. K. (1989). Assessing Coping Strategies: A Theoretically Based Approach. Journal of Personality and Social Psychology, 56, 267-283.

http://dx.doi.org/10.1037/0022-3514.56.2.267

[17]   Chabrol & Callahan (2004). Defense Mechanisms and Coping. Paris: Dunod.

[18]   Costa, P. T., Somerfield, R., & Mc Rae, R. R. (1996). Personality and Coping: A Reconceptualization. In N. Zeidner, & S. Endler (Eds.), Handbook of Coping: Theory Research, Applications (pp. 44-61.). New York: Wiley.

[19]   Crocker, J., & Major, B. C. (1998). Social Stigma Steele. In S. Fiske, D. Gilbert, & G. Lindzey (Eds.), Handbook of Social Psychology (Vol. 2, pp. 504-553). Boston, MA: McGraw-Hill.

[20]   DeVellis, R. F. (1991) Scale Development: Theory and Application. London: Sage.

[21]   Doron, J., Stephan, Y., & Le Scanff, C. (2013). Coping Strategies: A Review of Literature in Sport and Academic Contexts. European Review of Applied Psychology, 63, 251-334.

[22]   Doron, J., & Gaudreau, P. (2014). A Point by Point Analysis of Performance in a Fencing Match: Psychological Processes Associated with Winning and Losing Streaks. Journal of Sport and Exercise Psychology, 36, 3-13.

http://dx.doi.org/10.1123/jsep.2013-0043

[23]   Endler, N. S., & Parker, J. D. A. (1990). Coping Inventory for Stressful Situations. Toronto: Multihealth Systems.

[24]   Evans, B., Hoar, S. D., Gebotys, R. J., & Marchesin, C. A. (2014). Endurance Athletes’ Coping Function Uses Competitive Suffering during Episodes. European Journal of Sport Science, 14, 368-375.

http://dx.doi.org/10.1080/17461391.2013.832803

[25]   Folkman, S., & Moskowitz, J. T. (2000). Positive Affect and the Other Side of Coping. American Psychologist, 55, 647-654. http://dx.doi.org/10.1037/0003-066X.55.6.647

[26]   Gaudreau, P., & Blondin, J. P. (2002). Development of a Questionnaire for the Assessment of Coping Strategies Employed by Athletes in Competitive Sports Settings. Psychology of Sport and Exercise, 3, 1-34.

http://dx.doi.org/10.1016/S1469-0292(01)00017-6

[27]   Gaudreau, P., Nicholls, A., & Levy, A. R. (2010). The Ups and Downs of Coping and Sport Achievement: An Episodic Process of Analysis within Person Associations. Journal of Sport & Exercise Psychology, 32, 298-311.

http://dx.doi.org/10.1123/jsep.32.3.298

[28]   Hoar, S. D., Kowalski, K. C., Gaudreau, P., & Crocker, P. R. E. (2006). A Review of Coping in Sport. In S. Hanton, & S. D. Mellalieu (Eds.), Literature Reviews in Sport Psychology (pp. 47- 90). New York: Nova Science Publishers.

[29]   Hoyle, R. H., & Panther, A. T. (1995). Writing about Structural Equation Models. In R. H. Hoyle (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications (pp. 158-175.). London: Sage.

[30]   Hu, L. T., & Bentler, M. W. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Versus New Alternatives Criteria. Structural Equation Modeling, 6, 1-55.

http://dx.doi.org/10.1080/10705519909540118

[31]   Joreskog, K. G., & Sorbom, D. (1984). Lisrel VI. Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables, and Least Squares Methods. Mooresville: Scientific Software.

[32]   Kline, R. (2005). Principles and Practice of Structural Equation Modeling (2nd ed.). New York: Guilford.

[33]   Kowalski, K., & Crocker, P. R. E. (2001). Development and Validation of the Questionnaire for Teens Coping Function in Sport. Journal of Sport and Exercise Psychology, 23, 136-155.

http://dx.doi.org/10.1123/jsep.23.2.136

[34]   Lazarus, R. S., & Folkman, S. (1984). Coping and Adaptation. In W. D. Gentry (Ed.), The Handbook of Behavioral Medicine (pp. 282-325.). New York: Guilford.

[35]   Molinero, O., Salguero, A., & Márquez, S. (2010). Psychometric Properties and Three Dimensional Structure of the Spanish Adaptation of the Inventory Adjustment for the Sport Com- pétition. Psicothema, 975-982.

[36]   Moos, R. H. (1993). Coping Responses Inventory: CRI from Adults. Professional Manual, Odessa, TX: Psychological Assessment Resources.

[37]   Nicholls, A. R., & Polman, R. C. J. (2007). Coping in Sport: A Systematic Review. Journal of Sports Sciences, 25, 11-31.

http://dx.doi.org/10.1080/02640410600630654

[38]   Ponnelle, S., & Lancry, A. (2002). Adjustment Strategies and Environmental and Personal Resources in Dynamic Stress. In M. Neboit, & M. Vézina (Eds.), Stress at Work and Mental Health (pp. 59-77). Toulouse: Octares.

[39]   Roussel, P., Durrieu, F., Campoy, E., & El Akremi, A. (2002). Methods of Structural Equations: Research and Application Management. Paris: Economica.

[40]   Shrout, P. E., & Fleiss, J. L. (1979). Intraclass Correlations: Uses in Assessing Miss Reliability. Psychological Bulletin, 86, 420-428.

http://dx.doi.org/10.1037/0033-2909.86.2.420

[41]   Skinner, E. A., Edge, K., Altman, J., & Sherwood, H. (2003). Searching for the Structure of Coping: A Critical Review and Category Systems for Classifying Ways of Coping. Psychological Bulletin, 129, 216-269.

http://dx.doi.org/10.1037/0033-2909.129.2.216

[42]   Smith, R. E., Schutz, R. W., Smoll, F., & Ptacek, J. T. (1995). Development and Validation of a Multidimensional Measure of Sports-Specific Psychological Skills: The Athletic Coping Skills Inventory-28. Journal of Sport and Exercise Psychology, 17, 379-398.

http://dx.doi.org/10.1123/jsep.17.4.379

[43]   Stone, A. A., & Neale, J. M. (1984). New Measure of Daily Coping: Development and Preliminary Results. Journal of Personality and Social Psychology, 61, 892-906.

http://dx.doi.org/10.1037/0022-3514.46.4.892

[44]   Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). New York: Allyn and Bacon.

[45]   Tabachnick, B. G., & Fidell, L. S. (1996). Using Multivariate Statistics (3rd ed.). New York: Harper Collins.

[46]   Vallerand, R. J. (1989). Towards Transcultural Validation Methodology of Psychological Questionnaires: Implications for French Research. Canadian Psychology, 30, 662-689.

http://dx.doi.org/10.1037/h0079856

[47]   Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. (1977). Assessing Reliability and Stability in Panel Models. Sociological Methodology, 8, 84-136.

http://dx.doi.org/10.2307/270754

 
 
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