An examination of premarital sexual behavior among college students in hong kong

Abstract

This study examined the determinants of Hong Kong Chinese college students' intentions to engage in premarital sexual behavior. Fishbein and Ajzen's (1975) theory of reasoned action (TOFA) and Ajzen's (1985) perceived behavioral control were used as the theoretical framework for our investigation. Two hundred and thirty eight students completed a questionnaire designed to measure constructs of the two theories. Results from the regression analysis: (a) support the applicability of TORA in predicting these students' intentions to engage in premarital sex; (b) suggest that while attitudes toward engaging in premarital sex were more important in predicting male students' intentions, subjective norms were more important for female students; (c) reveal that the additional prediction contributed by the behavioral control components was relatively weak. Other findings were basically consistent with premarital sex research conducted in Western societies. Given the fact that promoting abstinence is one way to stop the transmission of the AIDS virus, both the theoretical and applied implications of our results for health intervention are discussed.     

Collective contributions to career efficacy in adolescents: A cross-cultural study

This study extended the concept of collective efficacy to supplement the variable of career self-efficacy to predict vocational exploration and commitment among adolescents. We developed a Collective Contributions to Career Efficacy Scale (CCCE) to measure adolescents' perceived contributions from parents, teachers, and peers on their career-related matters. A total of 1175 high school students from Hong Kong, Shanghai and Michigan participated in the study by completing the CCCE, the Career Decision Self-Efficacy Scale (CDSE-SF), and the Vocational Exploration and Commitment Subscale (VEC). Using multi-sample Structural Equation Modeling, we found that the effect of CCCE on VEC was mediated by CDSE. Although we found cultural differences in the overall level of the vocational measures among the Hong Kong, Shanghai, and American students, the mediation model was confirmed in all three groups of students.     

Negative valence can evoke a liberal response bias in syllogistic reasoning

Recently, studies have demonstrated that negative valence reduces the magnitude of the belief-bias effect in syllogistic reasoning. This effect has been localized in the reasoning stage, in the form of increased deliberation on trials where validity and conclusion believability are incongruent. Here, using signal detection theory, we show that the attenuation of belief bias observed when valence was negative can also be evoked by a liberal response bias at the decision stage. Indeed, when valence was negative participants adopted a more liberal criterion for judging syllogisms as “valid,” and were overconfident in their judgments. They also displayed less sensitivity in distinguishing between valid and invalid syllogisms. Our findings dovetail with recent evidence from memory research suggesting that negative valence can evoke a liberal response bias without improving performance. Our novel contribution is the demonstration that the attenuating effect of negative valence on belief bias can take multiples routes—by influencing the decision stage as was the case here, the reasoning stage as has been demonstrated elsewhere, and potentially both stages.     

The role of religion in moderating the impact of life events on material life goals: some evidence in support of terror management theory

How would religion and a life event carrying an existential threat (LEET) jointly impact a person's life goals of becoming wealthy and successful in one's career? Goal reprioritisation, socioemotional selectivity, and gerotranscendence theories predict a shift away from material goals following a LEET, independent of the effect of religion. However, terror management theory (TMT) predicts that the effect of death thoughts depends on one's prevailing cultural values. As religion can be regarded as a culture, it is possible that Christians' and non-believers' material life goals would be differentially altered by LEET. Data from 1259 young Chinese adults reveal no main effect of LEET, but a strong effect of religion. Moreover, there was an interaction effect between LEET and religion on material life goals: LEET weakened material goals for Christians but not for non-believers. These findings suggest that TMT is more suitable than the other theories for predicting life goal changes.     

Underachievement and Attributions Among Students Attending Schools Stratified by Student Ability

Underachievement among students tends to be a social product. In this case, schools stratified to admit students of lower academic ability might be more likely to produce underachievers. A reason for this is the encouragement of external attribution and the discouragement of internal attribution among students in these schools. These hypotheses get support from a study of 2720 junior high school students in Hong Kong. This study shows that the hypothesized relationships generally held for six alternative methods of identifying underachievers.     

The Advanced Programmer's Reliance on Program Semantics: Evidence from some Cognitive Tasks

This study examined the effects of programming expertise on the semantic processing of computer programs. Experiment 1 showed that sensitivity to semantic changes (i.e. changes of actual program functions) in a BASIC program recognition task increased with programming experience. No such pattern was observed for surface changes (i.e. changes of program syntax without functional alterations). The magnitude of semantic priming for BASIC keywords in a lexical decision task also increased with expertise, but the pattern was not found with normal English priming. In Experiment 2, novice BASIC programmers detected more semantic changes than the controls (non-programmers) in BASIC programs; the reverse was found for surface changes. Both the controls and the novices detected more semantic than surface changes in English passages. The BASIC priming effect was found only with the novices whereas English priming was demonstrated with both the control and the novice participants. The present findings support the view that the programming expert relies particularly on semantic processing and such reliance is specific to programming activities. Practical implications of the present results are discussed.     

Validation of a Chinese Version of the Psychological Sense of School Membership (C-PSSM): Tests of Measurement Invariance and Latent Mean Differences

This study examined the factorial structure of the Chinese version psychological sense of school membership scale (C-PSSM) (Cheung and Hui Asia Pacific Education Review, 4(1), 67–74, 2003). Five hundred and thirty-four university students from Hong Kong completed an 18-item C-PSSM and data were analyzed using exploratory factor analysis and confirmatory factor analysis. In addition, tests of measurement invariance and latent mean differences were performed. From the results of the CFA, two items were deleted and a 3-factor, 16-item C-PSSM model was found to have an acceptable fit, with acceptable level of internal consistency for each factor and the overall scale. Measurement invariance (configural, metric, and partial scalar) of the 16-item C-PSSM was supported and the tests of latent mean differences revealed no statistical significance in factor score differences between male and female participants in this study. Overall, this study contributed to the literature by generating new insights on to the psychological sense of school membership through validating the C-PSSM on a sample from a culture and age group different from those reported in the current literature.     

A Guide to Conducting a Meta-Analysis

Meta-analysis is widely accepted as the preferred method to synthesize research findings in various disciplines. This paper provides an introduction to when and how to conduct a meta-analysis. Several practical questions, such as advantages of meta-analysis over conventional narrative review and the number of studies required for a meta-analysis, are addressed. Common meta-analytic models are then introduced. An artificial dataset is used to illustrate how a meta-analysis is conducted in several software packages. The paper concludes with some common pitfalls of meta-analysis and their solutions. The primary goal of this paper is to provide a summary background to readers who would like to conduct their first meta-analytic study.