Computer anxiety and attitudes among undergraduate students in Greece

This study attempts to give an insight to the computer anxiety levels and attitudes toward computers of the students of the Library and Information Systems (LIS) Department of Technological Educational Institute (TEI) of Thessaloniki using Computer Anxiety Rating Scale (CARS) and Computer Attitudes Scale (CAS). Both constructs were examined using explanatory factor analysis. Internal consistency of the factors of each construct was satisfactory. It was found that there was a strong negative relationship between the two concepts. Canonical correlation analysis demonstrated that anxiety explains more variance of the attitudes than vice versa. Another finding was that most of LIS students were not anxious toward computers and with positive attitudes. Factors correlated negatively with anxiety and positively with attitudes, were knowledge of English language, PC ownership, access of students to computers at younger ages, perceived advanced computer skills and computer experience as reflected by frequency of computer use.     

Unethical computer using behavior scale: A study of reliability and validity on Turkish university students

This study was carried out in a Turkish university with 216 undergraduate students of computer technology as respondents. The study aimed to develop a scale (UECUBS) to determine the unethical computer use behavior. A factor analysis of the related items revealed that the factors were can be divided under five headings; intellectual property, social impact, safety and quality, net integrity and information integrity.     

Computer experience and computer anxiety

In this article two studies are reported that tested the nature of the relationship between computer experience and computer anxiety. In the first study 184 first year psychology students were given a questionnaire that measured their computer experience in terms of e.g. breadth of experience, hours spent on working with computers, skills level, the nature of the first computer experience and the occurrence of computer anxiety. A combined latent-factor path model depicting the relationship between experience and anxiety was construed and tested by means of EQS. The model in which computer experience unidirectionally influenced computer anxiety showed a reasonable fit (CFI=0.91). Two other models were also tested. The model in which experience was a consequence of anxiety in terms of physical arousal and affect and the reciprocal model showed insufficient fit (CFI=0.79 and 0.86). A second study among 225 first and third year psychology students was done to see if the original model could be improved upon. Adding the variables “sex” and “necessity of use of computers” into the model improved the fit of the model (CFI=0.93); it was also found that the amount of control felt during the first experience raised levels of feeling computer literate and liking the computer.     

Computer anxiety: A cross-cultural comparison of university students in ten countries

This study compared the construct of computer anxiety in university students across ten countries. A factor analysis of the Computer Anxiety Rating Scale (CARS) produced a three-factor model of computer anxiety (Interactive Computer Learning Anxiety, Consumer Technology Anxiety, and Observational Computer Learning Anxiety) for students in seven universities across the United States. The factor structures from students in nine countries (Australia, Czechoslovakia, Germany, Hungary, Israel, Italy, Japan, Spain, and Yugoslavia) were examined using Confirmatory Factor Analytic procedures. Each country's factor structure was first compared to the United States three-factor model and then modified to provide the best possible three-factor model of computer anxiety for each country. Results indicated that each country possessed a unique culture-dependent model of computer anxiety. For two countries (United States and Australia), Interactive Computer Learning Anxiety included learning to operate a computer plus encountering computer problems. For the eight other countries, Interactive Computer Learning Anxiety captured only the aspect of learning to operate and program computers while a separate Computer Victimization factor dealt with anxiety surrounding computer problems. The Observational Computer Learning Anxiety and the Consumer Technology Anxiety factors also differed between countries. Similarities and differences in the factor structures are discussed in light of cultural characteristics, computer education, and computer software and hardware.     

Influence of gender,program of study and PC experience on unethical computer using behaviors of Turkish undergraduate students

This study administered the unethical computer using behavior scale (UECUBS) developed by [Namlu, A.G., & Odabasi, F. (2007). Unethical computer using behavior scale: A study of reliability and validity on Turkish university students. Computers and Education, 48, 205–215.] to investigate whether gender, program of study and PC experience have an impact on ethical judgments of undergraduate students regarding information and communication technologies (ICTs). The sample consisted of 559 undergraduates from the Education Faculty of the most populated state university in Turkey. The results of 5 (program of study) × 2 (gender) × 2 (PC experience) between-groups analysis of variance (ANOVA) indicated no significant differences among different programs of study and between high and low experienced PC users. The analysis showed significant differences between males and females. A significant interaction between the program of study and gender was found, which indicated that the difference between males and females did not follow a similar pattern across different programs of study. More specifically, females’ ethical judgments were consistent across different fields while males’ judgments varied according to the field of study.     

The Computer Aversion, Attitudes, and Familiarity Index (CAAFI): A validity study

This study’s purpose was to provide additional psychometric data on the Computer Aversion, Attitudes, and Familiarity Index (CAAFI). The CAAFI is comprised of 40 items, yielding a total score and four factor scores with 10 items each (one familiarity, one attitudes, two aversion). The measure was administered to a sample of undergraduate psychology students (N = 293) along with the Computer Understanding and Experience Scale, the Computer Attitude Scale, and the Computer Aversion Scale. The factor structure of the CAAFI was supported via confirmatory factor analytic procedures and analysis of internal consistency reliability coefficients. In relation to the other measures of computer-related constructs, the strongest validity support was found for the CAAFI total score and Factors 1 (computer familiarity) and 3 (computer aversion-discomfort), followed by Factor 2 (computer attitudes). With regard to Factor 4 (computer aversion-fear), given the results of the analyses the decision was made to remove these items from the CAAFI in order to enhance the measure’s psychometric properties and practical utility.     

Assessing the computer attitudes of students: An Asian perspective

Research has found that computer attitudes play a key role in influencing the extent to which students accept the computer as a learning tool and in determining the likelihood that computer will be used in the future for learning and study. A sample of 183 students reported their computer attitudes using a Likert-type questionnaire with three subscales, computer importance, computer enjoyment, and computer anxiety. One-way MANOVA revealed no significant differences in computer attitudes by gender although male students reported more positive towards the computer than female students. There were significant differences between students who own computers at home and those who do not and students who own a computer at home also reported a lower level of computer anxiety compared to those who do not.     

Specific smartphone uses and how they relate to anxiety and depression in university students: a cross-cultural perspective

ABSTRACT

People around the world spend hours of their daily lives using smartphones; therefore, it is important to conduct cross-cultural research on the effects of smartphone use on health and well-being as culture influences values, motivations and communication patterns. The purpose of this study was to explore 5 popular uses of the smartphone – messaging, browsing the Internet, posting social content, reading social content, and playing games – how they relate to anxiety and depression scores, and how they vary depending on the country of the participants: Spain, the United States, and Colombia. In all three countries the ranking of most popular uses was the same: (1) Messaging, (2) Reading social content, and (3) Browsing the Internet. In the USA, game playing contributed to anxiety scores whereas reading social content was a protective factor; regarding depression scores, text messaging was a contributing factor. In Spain, browsing the Internet contributed to anxiety scores; regarding depression scores, messaging was a contributing factor and posting social content was a protective factor. In Colombia, no specific use influenced anxiety scores; regarding depression scores, only game playing was a protective factor. Our results showed that in all the countries, problematic smartphone use contributed to anxiety scores.     

Computer usage questionnaire: Structure, correlates, and gender differences

Computer usage, computer experience, computer familiarity, and computer anxiety are often discussed as constructs potentially compromising computer-based ability assessment. After presenting and discussing these constructs and associated measures we introduce a brief new questionnaire assessing computer usage. The self-report measure consists of 18 questions asking for the frequency of different computer activities and software usage. Participants were N = 976 high school students who completed the questionnaire and several covariates. Based on theoretical considerations and data driven adjustments a model with a general computer usage factor and three nested content factors (Office, Internet, and Games) is established for a subsample (n = 379) and cross-validated with the remaining sample (n = 597). Weak measurement invariance across gender groups could be established using multi-group confirmatory factor analysis. Differential relations between the questionnaire factors and self-report scales of computer usage, self-concept, and evaluation are reported separately for females and males. It is concluded that computer usage is distinct from other behavior oriented measurement approaches and that it shows a diverging, gender-specific pattern of relations with fluid and crystallized intelligence.     

Computer phobia and computer self-efficacy: their association with undergraduates’ use of university computer facilities

Extensive development in universities’ provision of computer facilities may have negative consequences for students prone to computer avoidance. In the present study, undergraduates (N = 363) completed self-report measures on computer phobia and self-efficacy. Results demonstrate that many students follow previous trends by continuing to report levels of computer phobia within the higher parameters of self-report measures. Students who reported either high computer phobia or low computer self-efficacy were less likely to maximise their use of university computer facilities. Moreover, a range of background measures – initial computer experience, regular home use, successful completion of a computer course and introductory tutor’s characteristics – all impacted statistically on self-report responses. Results are discussed with reference to the increasing responsibility placed on students to acquire ICT skills.     

Computer anxiety: Comparison of research from the 1990s and 2000s

As computers became ubiquitous in businesses, homes, and schools, there was increasing concern about computer anxiety and its effect on individuals. The first academic articles on computer anxiety were published in the early 1980s. Since that time, hundreds of papers have been published on the topic. Yet, up to this time, no one has done a comprehensive review of computer anxiety. In this article, 276 articles on computer anxiety are reviewed. From a synthesis of the articles and variables studied to date, a framework is developed that outlines the primary topics studied in computer anxiety literature. Nine antecedents, five correlates, and two outcomes of computer anxiety are identified as the most studied variables in the literature. In addition, a statistical comparison is done to compare the distribution of computer anxiety topics and results published in the 1990s to those published in the 2000s. Suggestions for future research in computer anxiety are proposed.     

Shopping behaviour and preferences in e-commerce of Turkish and American university students: implications from cross-cultural design

With internationalization of commerce and business and with increased use of e-business and e-commerce, it is important to ensure that these systems can be effectively utilized across cultural boundaries. To increase effectiveness, appropriate changes and modifications in the systems may be required. With this in mind, a survey of 300 Turkish university students was undertaken to assess their on-line shopping and behaviour preferences, and these were compared with the results derived from 64 US university students. The results provide guidelines for specific design of features for the Turkish population that may not be necessary for the US population.     

Computer anxiety and anger: the impact of computer use, computer experience, and self-efficacy beliefs

Past research has demonstrated that the level of computer experience users have is the most valuable predictor in whether or not they will suffer computer anxiety symptoms, but this was not the case in the present study. No research was found which examined the correlates of computer anger symptoms. In the current study, the relationship between the computer use (frequency and duration), computer experience, and self-efficacy beliefs of users were analyzed as predictors for computer anxiety and anger symptoms. Questionnaire data from a sample of 242 university students were analyzed. The results indicated that computer self-efficacy beliefs, not computer experience or use, had the largest significant relationship with both computer anxiety, and anger. It is suggested that self-efficacy beliefs be increased so that users may experience lower levels of anxiety and anger. These findings are contrary to the trend of training computer users in specific computer domains. As computer anxiety and anger are negative psychological “states”, an immediate method to deal with these negative emotions should be developed. One possibility that is explored is the application of computer-based therapy that can be used while a user is experiencing negative emotional symptoms.     

Shopping behaviour and preferences in e-commerce of Turkish and American university students: Implications from cross-cultural design

With internationalization of commerce and business and with increased use of e-business and e-commerce, it is important to ensure that these systems can be effectively utilized across cultural boundaries. To increase effectiveness, appropriate changes and modifications in the systems may be required. With this in mind, a survey of 300 Turkish university students was undertaken to assess their on-line shopping and behaviour preferences, and these were compared with the results derived from 64 US university students. The results provide guidelines for specific design of features for the Turkish population that may not be necessary for the US population.     

The computer attributes for learning scale (CALS) among university students: Scale development and relationship with actual computer use for learning

The purpose of this study was twofold. First to develop an instrument, the computer attributes for learning scale (CALS) for assessing how university students perceive the attributes of computer use for learning, and secondly to examine the predictive value of the CALS in relation to the actual use students made of a computer for learning. The research was based on innovation diffusion theory, and was set in the context of higher education in Flanders, the Dutch speaking part of Belgium. The first step in the development of the computer attributes for learning scale, was to draw on the literature to determine a set of attributes which could be used in relation to the use of computers for learning. Secondly, working with a stratified sample of university students (n = 237), exploratory factor analysis was used to develop a one-dimensional nine item-scale for measuring students’ perceptions towards these specified attributes of a computer for learning. Next, using another similar stratified sample of the same size, confirmatory factor analysis was used to assess the stability of the one-factor structure. Finally, having developed the instrument, the predictive value of the CALS was assessed by examination of the relationship of the CALS with actual computer use for learning, when controlling for related computer variables, including computer self-efficacy, perceived usefulness of computers and computer use for personal purposes. The CALS was found to have a significant predictive value in terms of computer use for learning. In view of this it is argued that the CALS is an instrument which can be used in the future to assess the likely use students will make of a computer application in relation to their learning.     

Computer attitude,statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners

Educators need to know how to motivate business students (i.e., future business practitioners) to learn and use statistical software, which can provide the practical skills necessary for business professionals to analyze data and make informed decisions. Using a sample of 207 online MBA students from an AACSB accredited university in the Midwest, a modified TAM model was examined using LISREL 8.80. The empirical results show that both computer attitude and statistical software self-efficacy have significant, positive effects on perceived usefulness. In addition, it was found that both perceived usefulness and perceived ease of use positively influence learners’ intentions to use statistical software, whereas their anxiety with statistics has a significant, negative impact on perceived usefulness, perceived ease of use and behavioral intentions. Both theoretical and practical implications are discussed in this paper.     

Problematic Internet use,loneliness and dating anxiety among young adult university students

The Internet, an important modern means of obtaining information and establishing communication with others, has become an increasingly essential element of human life. Although Internet use makes life easier, it can become problematic in the event of non-functional use. Debate and research into whether Internet addiction is a cause or an effect are continuing. This study investigates problematic Internet use among young adult university students and examines correlation between problematic Internet use and loneliness and dating anxiety. University student Internet use patterns are also investigated. The study was conducted among 493 students from the Karadeniz Technical University Fatih Faculty of Education. The Online Cognition Scale, Dating Anxiety Scale, Loneliness Scale and Personal Information Questionnaire were employed in the collection of data. Pearson correlation analysis, the t-test, one-way analysis of variance and chi-square test were used for data analysis. The Pearson correlation analysis results reveal a significant positive correlation between problematic Internet use and loneliness (r = 0.194, p < 0.001), communication anxiety (r = 0.15, p < 0.001), unpopularity anxiety (r = 0.174, p < 0.001) and physiological symptoms (r = 0.125, p < 0.001) dating anxiety sub-scales. One-way analysis of variance was used to examine whether problematic Internet use varies according to length of Internet use, and a significantly high level of problematic Internet use was observed among those going online for more than 5 h a day compared to other users (F = 14.327, p < 0.001). Chi-square results reveal a significant association between length of Internet use and how students feel when they do not go online (chi-square = 116.543, p < 0.001). The t-test was used to determine whether there was a significant difference in levels of Internet use according to gender, and levels of problematic Internet use were significantly higher among male students than females (t = 4.046, p < 0.001).     

Strategic self-presentation online: A cross-cultural study

Contemporary social networking sites (SNSs) make idealized self-presentation and image maintenance difficult because users’ audiences are becoming more diverse and individual users must negotiate often unanticipated other-provided information in the form of text posts and digital images on their profile pages. This cross-cultural study examines how audience-related variables affect a range of strategic self-presentation and image management behaviors online. Results from samples of Singaporean and American SNS users (N = 411) show that while Americans update their profiles with text-based wall posts more frequently, Singaporeans share significantly more photos. Audience diversity is positively associated with active management of other-provided information, and females share more photos and actively manage unwanted photo tagging. Cultural identity and the tendency to ‘friend’ unknown others interact on managing other-provided wall posts; individualistic cultural identity exhibited positive relationships with these reactions for those less likely to friend unknown others but negative ones for those more likely to friend unknown others. Implications for the theoretical understanding of and practical suggestions about self-presentation online are discussed.