The present paper tries to identify the societal factors and psychological factors that motivate students to have better performance in English as a second language and to postulate a theoretical model subsuming these socio-psychological variables to explain and predict the performance in English as a second language for Hong Kong students in Australia. Since the proposal of socio-educational model of second language learning by Gardner (1959), a number of studies have focused on identifying the potent factors in second language acquisition. Giles and Byrne (1982) emphasized the need to have variables intended to determine the perceived relationships operating between ethnic groups. Kraemer (1993) included ethnolinguistic vitality perception construct in her study on social psychological factors in the learning of Arabic in Israeli schools. 247 students of ethnic Chinese in the Sydney metropolitan area who were studying in weekend Chinese schools and 628 Hong Kong students who were studying in primary and secondary schools were sampled. Path analysis was used to determine the relationship between the performance of Chinese and English with societal and psychological variables.
[Copyright of Australian Association for Research in Education (AARE) at http://www.aare.edu.au]

The present paper tries to identify the social and psychological factors that motivate students to have better performance in English as a second language, and to postulate a theoretical model subsuming these socio-psychological variables to explain and predict the performance in English as a second language for Hong Kong students in Australia. Gardner (1959) hypothesized that students would have higher performance in the second language performance if they exhibit the desire to learn the second language in order to integrate themselves with the target culture than when they exhibit the desire to learn the language for pragmatic reasons. The perceived status of language affects the use of and attitude toward a language. Giles, Bourhis and Taylor (1977) defined Ethnolinguistic vitality as structural characteristics such as socio-economic status, demographic representation and institutional support pertinent to a language. Smolicz, Hudson and Secombe (1998) described multicultural policies of Australia as a solution to the dilemma of reconciling the immigrants' love of their homeland and its culture and their desire to adapt to the overarching Australian framework. 247 students of ethnic Chinese in Sydney metropolitan area who were studying in weekend Chinese schools (age 8 to 16 with mean age of 10.1) and 628 Hong Kong students who were studying in primary and secondary schools (age 8 to 16 with mean age 10.5) were sampled. Path analysis was used to determine the relationship between the performance of Chinese and English with ethnolinguistic vitality, motivation, attitudes and use and class anxiety in the learning of English.
[Copyright of Australian Association for Research in Education (AARE) at http://www.aare.edu.au]

This article aims to investigate reasons underpinning academic help-seeking behaviours of Chinese students in Hong Kong, Macau and Taiwan. Data were collected from 23,563 secondary students. The study found significant differences both in attitudes and reported behaviour among secondary school students from the three locations, however, the effect sizes were all very small. Importantly, it was found that no matter which location, students considered grade enhancement to be the least important benefit of help-seeking. Rather, the most important benefit was that help-seeking enabled them to solve their learning difficulties or to solve their learning problems. The study also found that losing face was the last deterrent for the students not to seek help. Instead, Chinese secondary school students refrained from seeking help because they were afraid to disturb others in the act of help-seeking. In addition, a high proportion of students reported seeking help in the past two months in order to get advice on problem-solving approaches. Comparatively, a much smaller proportion of students reported seeking help in the last two months in order to improve on their grades. These results were discussed in light of the previous images of Chinese students.
[Copyright of Evaluation & Research in Education is the property of Routledge. Full article may be available at the publisher's website: http://dx.doi.org/10.1080/09500790802485229]

The purpose of this study was twofold: to examine how attitudinal and instructional variables differentiated 4th-grade students in Cyprus, Hong Kong, and the USA; and to determine how those variables were related to math performance on the TIMSS test. A discriminant analysis was performed to examine how those variables differentiated the students in the 3 countries. The most striking result was that the students from all 3 countries, who were similar to the average students in Cyprus, had the highest achievement within their countries. Thus, 4th-grade students who liked math, who thought it was important to do well in math for their friends, who did not need private instruction, and who had not been taught using computers or small group procedures, tended to be the better students. However, students who were similar to the average USA student had the lowest achievement within each of the 3 countries.
[Copyright of Educational Research & Evaluation is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1076/edre.8.1.129.6919 ]

Primary school teachers rated the frequency of occurrence of 65 reading-related behavioural characteristics in a sample of 251 Grade 1 to Grade 6 Chinese school children in Hong Kong. These behavioural characteristics were in the areas of general performance, reading, dictation, writing, mathematics, language, memory, concentration, sequential ability, motor co-ordination, spatial orientation, and social/emotional adjustment. Of these 12 areas, 10 yielded scale scores that could distinguish children with dyslexia from those without dyslexia, identified on the basis of their performance in five domains of literacy and cognitive skills. Using a summary score derived from the 10 relevant scales, an optimal cut-off score was suggested to arrive at a balance between high sensitivity and an acceptable rate of false positives in screening for children with dyslexia. The need for cross-replication in screening children with dyslexia using the behaviour checklist with different samples of school students is emphasised.
[Copyright of Educational Psychology is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/0144341042000271769]