Intercultural competence for Arabic learners

Published: 2018-08-06 01:13:15
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Sewanee University of the South
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Descriptive statistics in terms of frequency

In this research project a total of 25 participants completed the questionnaire. They included 12 males and 13 females. After the completion of the questionnaire which had four sections, an analysis is conducted so as to develop results from the survey data. Descriptive statistics in terms of frequency was undertaken which highlighted the percentages, sum, mean, median, minimum and maximum of the variables in question. They were used to show variance and standard deviation followed the sequence. The criterion that directly related to the research question was identified. Regression and correlation analysis were conducted to investigate the relationship between the independent and dependent variables. In Bivariate analysis, the contingency tables were used to relate at least two dependent variables. The ANOVA and ANCOVA tables are presented to assess variance and covariance of the set of variables thus investigating the relationship and the strength of association between the variables.

The major dependent variables in the research included:

• How often is the interaction with the Arab origin

• Ever visited or lived in Arab world

• Familiarization to some Arabic words before enrollment

• Relationship with the Arab origin

• Awareness of the uniqueness of cultural ideas and practices before enrollment

• Perception of Arab culture 

• Arab heritage

The independent variables in the research were:

• Gender

• Age

Model Summary

 

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.191a

.037

-.005

.508

 

 

 

Predictors: (Constant), Arabian Relationship

The regression analysis to assess the relationship between gender and Arabian relationship displays that the two variables are not related. The R value of 0.191 is much lower thus very weak correlation. R squared clearly indicates that the dependent.

Variable (Arabian relationship) could only explain 3.7% of the independent variable.           

https://imgur.com/a/dRGKPkS

There was an existing relationship between the age group and whether the participant had visited or lived in Arab world. All the participants of age 16 – 18 years had visited or lived in the Arab world while those of age 22 – 25 years and over 25 years recording the same figure. Majority of those aged 19 – 21 years had not visited or lived in the Arab world.  Those 22 – 25 years recorded the highest figure of those that had neither visited nor lived in the Arab world. This finding demonstrates that age is a factor in determining those that had visited or lived in Arab world thus the relationship.

Perception of the Arab culture

There was a relationship between age and the perception of the Arab culture. The age group affected the perception of the culture. None of those aged 19 – 21 years had a positive perception of the Arab culture while those that were positive and over 25 years were more than those that had a neutral perception. Those that were neutral aged between 22 – 25 years were many than those that had positive and negative perception. None of those 16 – 18 years had a neutral perception. They recorded the highest figure of those that had a negative perception though some had a positive perception. The perception of Arab culture was different in various age groups with conclusion that the younger the participant having a negative perception.

The cross tabulation between gender, those who ever visited or lived in the Arab world is interpreted that gender is a determining factor. Overall, those who had visited or lived in the Arab world 33.3 % had a positive perception, 53.3% had a negative perception while 13.3% had a neutral perception. Out of those that had not visited or lived in Arab world, 24 % had a positive perception, 36% had negative perception and 40% were neutral of the Arab culture.

Gender * PerceptionOfArabCulture * VisitedOrLivedInArab Crosstabulation

VisitedOrLivedInArab

PerceptionOfArabCulture

Total

Positive

Negative

Neutral

Yes

Gender

Male

Count

2

3

2

7

% within Gender

28.6%

42.9%

28.6%

100.0%

% within PerceptionOfArabCulture

40.0%

37.5%

100.0%

46.7%

Female

Count

3

5

0

8

% within Gender

37.5%

62.5%

0.0%

100.0%

% within PerceptionOfArabCulture

60.0%

62.5%

0.0%

53.3%

Total

Count

5

8

2

15

% within Gender

33.3%

53.3%

13.3%

100.0%

% within PerceptionOfArabCulture

100.0%

100.0%

100.0%

100.0%

No

Gender

Male

Count

1

0

6

7

% within Gender

14.3%

0.0%

85.7%

100.0%

% within PerceptionOfArabCulture

100.0%

0.0%

75.0%

70.0%

Female

Count

0

1

2

3

% within Gender

0.0%

33.3%

66.7%

100.0%

% within PerceptionOfArabCulture

0.0%

100.0%

25.0%

30.0%

Total

Count

1

1

8

10

% within Gender

10.0%

10.0%

80.0%

100.0%

% within PerceptionOfArabCulture

100.0%

100.0%

100.0%

100.0%

Total

Gender

Male

Count

3

3

8

14

% within Gender

21.4%

21.4%

57.1%

100.0%

% within PerceptionOfArabCulture

50.0%

33.3%

80.0%

56.0%

Female

Count

3

6

2

11

% within Gender

27.3%

54.5%

18.2%

100.0%

% within PerceptionOfArabCulture

50.0%

66.7%

20.0%

44.0%

Total

Count

6

9

10

25

% within Gender

24.0%

36.0%

40.0%

100.0%

% within PerceptionOfArabCulture

100.0%

100.0%

100.0%

100.0%

https://imgur.com/a/B982VVd

None of the female participants had a neutral perception. They were either positive or negative on the Arab culture. Studies such as those by Sumi & Sumi, (2015) reported the same case. Many females had both positive and negative perception more than their men counterparts.

The ANOVA table

The ANOVA table shows that there is a significant statistical difference between how often the participant interacted with the people of Arab origin and whether they knew Arabic. However, the significant value 0.629 in the table explains that having interacted with the Arab origin; a participant had a 62.9% possibility of having known the Arabic. The F value of 0.656 which is >0.05 leads to the rejection of the null hypothesis.

ANOVA

Interaction Level

 

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

3.973

4

.993

.656

.629

Within Groups

30.267

20

1.513

 

 

Total

34.240

24

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

https://imgur.com/a/cJckqDJ

Dependent Variable: Arabian Relationships

Method: ANCOVA (Type I Sum of Squares)

The Covariates appearing in the model are evaluated at the following values. Interaction level= 3.48

The specific statistical technique used to assess the relationship and the strength of association is the Regression analysis.

Multivariate analysis of variance

Multivariate analysis of variance (MANOVA) is an extension of analysis of variance for use when you have more than one dependent variable (Bernstein, 2012). Since in the data there is more than one dependent variable that is related in some way, MANOVA could be conducted. Depending on the nature of the research question, the variables to include would be the perception of Arab culture, visit or lived in the Arab world, relationship with the Arab origin and how often the participant interacts with the people of Arab origin.

The use of Multivariate analysis of variance (MANOVA) is that it gives one the opportunity to compare different data sets based on groups and tell whether their means differ significantly (Chatfied & Collins, 2013). It helps one to know whether the difference in means between groups occurred by chance or not. In addition, MANOVA gives one the chance to analyze variances using combined variables that are dependent on each other just like in the case of this study. 

Based on the merits accrued when using Multivariate analysis, it was prudent to use it for this research because of the manner in which it helped in providing information about the significant difference between groups for the composite dependent variables. It also helped to provide univariate result for each dependent variable.

 

References

Bernstein, I. H. (2012). Applied multivariate analysis. Springer Science & Business Media.

Chatfied, C., & Collins, A. J. (2013). Introduction to multivariate analysis. Springer.

Holmes, P., & O’Neill, G. (2012). Developing and evaluating intercultural competence: Ethnographies of intercultural encounters. International Journal of Intercultural Relations, 36(5), 707-718.

Rehman, M. S. (2014). Developing intercultural communicative competence in the Arabic curriculum: a survey of learners at beginner level (Doctoral dissertation).

Sumi, K., & Sumi, A. M. (2015). Development of the Interest in Arabic Culture Scale (IACS): A Measure of Interest in Arabic Culture for Students Learning Arabic in Japanese Universities. Journal of Psychology & Psychotherapy, 5(3), 1.

 

 

 

 

sheldon

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