一、中文
陳仕潔(2018)。五大性格、同儕影響力及智慧型手機使用正向預期對國中生智慧型手機成癮之影響路徑-七個月追蹤研究。亞洲大學心理學系研究所碩士論文,台中市。取自https://hdl.handle.net/11296/jc79rt蔡書華(2018)。幸福感調節國中生智慧型手機正向預期在同儕影響力對智慧型手機成癮的中介效果:七個月追蹤研究。亞洲大學心理學系研究所碩士論文,台中市。取自https://hdl.handle.net/11296/7pvg3e二、外文
Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage.
Aljomaa, S. S., Qudah, M. F. A., Albursan, I. S., Bakhiet, S. F., & Abduljabbar, A. S. (2016). Smartphone addiction among university students in the light of some variables. Computers in Human Behavior, 61, 155-164.
Anthenien, A. M., Lembo, J., & Neighbors, C. (2017). Drinking motives and alcohol outcome expectancies as mediators of the association between negative urgency and alcohol consumption. Addictive behaviors, 66, 101-107.
Averbeck, B. B., & Costa, V. D. (2017). Motivational neural circuits underlying reinforcement learning. Nature Neuroscience, 20(4), 505.
Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986.
Bian, M., & Leung, L. (2015). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33(1), 61-79.
Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in cognitive sciences, 4(6), 215-222.
Chen, B., Liu, F., Ding, S., Ying, X., Wang, L., & Wen, Y. (2017). Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students. BMC psychiatry, 17(1), 341.
Clark, H. K., Ringwalt, C. L., & Shamblen, S. R. (2011). Predicting adolescent substance use: The effects of depressed mood and positive expectancies. Addictive behaviors, 36(5), 488-493.
Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. Basic Books.
Demirci, K., Akgönül, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of behavioral addictions, 4(2), 85-92.
De-Sola Gutiérrez, J., Rodríguez de Fonseca, F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in psychiatry, 7, 175.
Dewi, R. K., Efendi, F., Has, E. M. M., & Gunawan, J. (2018). Adolescents’ smartphone use at night, sleep disturbance and depressive symptoms. International journal of adolescent medicine and health.
Dir, A. L., Banks, D. E., Zapolski, T. C., McIntyre, E., & Hulvershorn, L. A. (2016). Negative urgency and emotion regulation predict positive smoking expectancies in non-smoking youth. Addictive behaviors, 58, 47-52.
Duke, É., & Montag, C. (2017). Smartphone addiction, daily interruptions and self-reported productivity. Addictive behaviors reports, 6, 90-95.
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of affective disorders, 207, 251-259.
Elhai, J. D., Rozgonjuk, D., Yildirim, C., Alghraibeh, A. M., & Alafnan, A. A. (2019). Worry and anger are associated with latent classes of problematic smartphone use severity among college students. Journal of affective disorders, 246, 209-216.
Giesler, R. B., Josephs, R. A., & Swann Jr, W. B. (1996). Self-verification in clinical depression: The desire for negative evaluation. Journal of abnormal psychology, 105(3), 358.
Goswami, V., & Singh, D. R. (2016). Impact of mobile phone addiction on dolescent’s life: A literature review. International Journal of Home Science, 2(1), 69-74.
Hayes, A. F. (2013). Model templates for PROCESS for SPSS and SAS. Retrieved December, 12, 2013.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
Hsieh, C.Y., Cheng, Y. J., & Ko, H. C. (2016). The reliability and validity of Ko's Smartphone Addiction Inventory. Paper presented at the The 55th Annual Conference and International Symposium, TAIWAN, R.O.C.
Hyman, S. E. (2007). The neurobiology of addiction: implications for voluntary control of behavior. The American Journal of Bioethics, 7(1), 8-11.
Jeong, S. H., Kim, H., Yum, J. Y., & Hwang, Y. (2016). What type of content are smartphone users addicted to?: SNS vs. games. Computers in Human Behavior, 54, 10-17.
Jones, B. T., Corbin, W., & Fromme, K. (2001). A review of expectancy theory and alcohol consumption. Addiction, 96(1), 57-72.
Kardefelt-Winther, D. (2014). The moderating role of psychosocial well-being on the relationship between escapism and excessive online gaming. Computers in Human Behavior, 38, 68-74.
Khantzian, E. J. (1985). The self-medication hypothesis of addictive disorders: focus on heroin and cocaine dependence. The American journal of psychiatry, 142(11), 1259.
Kim, S. M., Huh, H. J., Cho, H., Kwon, M., Choi, J. H., Ahn, H. J., Lee, S. W., Kim, Y. J. & Kim, D. J. (2014). The effect of depression, impulsivity, and resilience on smartphone addiction in university students. Journal of Korean Neuropsychiatric Association, 53(4), 214-220.
Kim, K., Milne, G. R., & Bahl, S. (2018). Smart phone addiction and mindfulness: an intergenerational comparison. International Journal of Pharmaceutical and Healthcare Marketing, 12(1), 25-43.
Kim, D., Nam, J. K., Oh, J., & Kang, M. C. (2016). A latent profile analysis of the interplay between PC and smartphone in problematic internet use. Computers in Human Behavior, 56, 360-368.
Ko, M., Yang, S., Lee, J., Heizmann, C., Jeong, J., Lee, U., . . . Chung, K.-M. (2015). NUGU: a group-based intervention app for improving self-regulation of limiting smartphone use. Paper presented at the Proceedings of the 18th ACM conference on computer supported cooperative work & social computing.
Kroenke, K., Spitzer, R. L., Williams, J. B., & Löwe, B. (2010). The patient health questionnaire somatic, anxiety, and depressive symptom scales: a systematic review. General hospital psychiatry, 32(4), 345-359.
Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., ... & Kim, D. J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS one, 8(2), e56936.
Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in human behavior, 31, 373-383.
Lee, H., Kim, J. W., & Choi, T. Y. (2017). Risk factors for smartphone addiction in Korean adolescents: smartphone use patterns. Journal of Korean medical science, 32(10), 1674-1679.
Lee, S. Y., Lee, D., Nam, C. R., Kim, D. Y., Park, S., Kwon, J. G., ... & Choi, J. S. (2018). Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis. Journal of behavioral addictions, 7(2), 454-465.
Lee, J. S., Mathews, A., Shergill, S., & Yiend, J. (2016). Magnitude of negative interpretation bias depends on severity of depression. Behaviour Research and Therapy, 83, 26-34.
Lin, M. P., Ko, H. C., & Wu, J. Y. W. (2008). The role of positive/negative outcome expectancy and refusal self-efficacy of Internet use on Internet addiction among college students in Taiwan. CyberPsychology & Behavior, 11(4), 451-457.
Lin, M. P., Ko, H. C., & Wu, J. Y. W. (2011). Prevalence and psychosocial risk factors associated with Internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychology, Behavior, and Social Networking, 14(12), 741-746.
Lin, M. P., Wu, J. Y. W., Chen, C. J., & You, J. (2018). Positive outcome expectancy mediates the relationship between social influence and Internet addiction among senior high-school students. Journal of behavioral addictions, 7(2), 292-300.
National Development Council Internet (2015). Internet addiction research report. Taiwan.
Nolen-Hoeksema, S., & Harrell, Z. A. (2002). Rumination, depression, and alcohol use: Tests of gender differences. Journal of Cognitive Psychotherapy, 16(4), 391.
Peterson, C., Seligman, M. E., & Vaillant, G. E. (1988). Pessimistic explanatory style is a risk factor for physical illness: a thirty-five-year longitudinal study. Journal of personality and social psychology, 55(1), 23.
Pundir, P., Andrews, T., Binu, V. S., & Kamath, R. (2016). Association of problematic mobile phone use with psychological distress and self-esteem among college students in South India: a cross-sectional study. International Journal Of Community Medicine And Public Health, 3(10), 2841-2849.
Rho, M. J., Park, J., Na, E., Jeong, J. E., Kim, J. K., Kim, D. J., & Choi, I. Y. (2019). Types of problematic smartphone use based on psychiatric symptoms. Psychiatry research, 275, 46-52.
Roberts, J., Yaya, L., & Manolis, C. (2014). The invisible addiction: Cell-phone activities and addiction among male and female college students. Journal of behavioral addictions, 3(4), 254-265.
Savic, M., Best, D., Rodda, S., & Lubman, D. I. (2013). Exploring the focus and experiences of smartphone applications for addiction recovery. Journal of addictive diseases, 32(3), 310-319.
Schoenbaum, G., Roesch, M. R., & Stalnaker, T. A. (2006). Orbitofrontal cortex, decision-making and drug addiction. Trends in neurosciences, 29(2), 116-124.
Selvaganapathy, K., Rajappan, R., & Dee, T. H. (2017). The effect of smartphone addiction on craniovertebral angle and depression status among university students. International Journal of Integrative Medical Sciences, 4(5), 537.
Shah, P. P., & Sheth, M. S. (2018). Correlation of smartphone use addiction with text neck syndrome and SMS thumb in physiotherapy students. International Journal Of Community Medicine And Public Health, 5(6), 2512-2516.
Smith, A. (2015). US smartphone use in 2015. Pew Research Center, 1.
Smith, G. T., & Cyders, M. A. (2016). Integrating affect and impulsivity: The role of positive and negative urgency in substance use risk. Drug and Alcohol Dependence, 163, S3-S12.
Takao, M., Takahashi, S., & Kitamura, M. (2009). Addictive personality and problematic mobile phone use. CyberPsychology & Behavior, 12(5), 501-507.
Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress,
sleep disturbances, and symptoms of depression among young adults-a prospective cohort study. BMC public health, 11(1), 66.
Volkow, N. D., Wise, R. A., & Baler, R. (2017). The dopamine motive system: implications for drug and food addiction. Nature Reviews Neuroscience, 18(12), 741.
Williams, D. M. (2010). Outcome expectancy and self-efficacy: Theoretical implications of an unresolved contradiction. Personality and Social Psychology Review, 14(4), 417-425.
Wu, J. Y. W., Ko, H. C., Wong, T. Y., Wu, L. A., & Oei, T. P. (2016). Positive Outcome Expectancy Mediates the Relationship Between Peer Influence and Internet Gaming Addiction Among Adolescents in Taiwan. Cyberpsychology, Behavior, and Social Networking, 19(1), 49-55.
Yen, C. F., Tang, T. C., Yen, J. Y., Lin, H. C., Huang, C. F., Liu, S. C., & Ko, C. H. (2009). Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. Journal of adolescence, 32(4), 863-873.