一、中文文獻
王坤（2015）。基於數據庫的非常規用途測驗計分法（碩士論文）。取自http://cdmd.cnki.com.cn/Article/CDMD-10269-1015352129.htm
吳靜吉（1998）。新編創造思考測驗研究。教育部輔導工作六年計畫研究報告。
林緯倫、連韻文、任純慧（2005）。想得多是想得好的前提嗎？探討發散性思考能力在創意問題解決的角色。中華心理學刊，47(3)，211-227。張春興（1996）。教育心理學。台北：東華。
陳光華（2012）。圖書館學與資訊科學大辭典。取自http://terms.naer.edu.tw/detail/1679016/
二、英文文獻
Acar, S., & Runco, M. A. (2014). Assessing associative distance among ideas elicited by tests of divergent thinking. Creativity Research Journal, 26(2), 229-238. doi: 10.1080/10400419.2014.901095
Altszyler, E., Sigman, M., & Slezak, D. F. (2016). Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database. Retrieved from http://arxiv.org/abs/1610.01520
Beaty, R. E., Silvia, P. J., Nusbaum, E. C., Jauk, E., & Benedek, M. (2014). The roles of associative and executive processes in creative cognition. Memory & Cognition, 42(7), 1186-1197. doi: 10.3758/s13421-014-0428-8
Beketayev, K., & Runco, M. A. (2016). Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm. Europe's Journal of Psychology, 12(2), 210-220. doi:10.5964/ejop.v12i2.1127
Benedek, M., & Neubauer, A. C. (2013). Revisiting Mednick's model on creativity‐related differences in associative hierarchies. Evidence for a common path to uncommon thought. The Journal of Creative Behavior, 47(4), 273-289. doi: 10.1002/jocb.35
Benedek, M., Könen, T., & Neubauer, A. C. (2012). Associative abilities underlying creativity. Psychology of Aesthetics, Creativity, and the Arts, 6(3), 273-281. doi: 10.1037/a0027059
Bossomaier, T., Harré, M., Knittel, A., & Snyder, A. (2009). A semantic network approach to the creativity quotient (CQ). Creativity Research Journal,21(1), 64-71. doi: 10.1080/10400410802633517
Chang, T. H., Sung, Y. T., & Lee, Y. T. (2012). A Chinese word segmentation and POS tagging system for readability research. Paper presented at 42nd annual meeting of the Society for Computers in Psychology (SCiP 2012), Minneapolis, MN.
Cheung, P. C., & Lau, S. (2010). Gender differences in the creativity of Hong Kong school children: Comparison by using the new electronic Wallach–Kogan creativity tests. Creativity Research Journal, 22(2), 194-199. doi: 10.1080/10400419.2010.481522
Cheung, P. C., Lau, S., Chan, D. W., &Wu, W. Y. H. (2004). Creative potential of school children in Hong Kong: Norms of the Wallach–Kogan Creativity Tests and their implications. Creativity Research Journal, 16, 69-78. doi: 10.1207/s15326934crj1601_7
Deerwester, S. C., Dumais, S. T., Landauer, T. K., Furnas, G. W., & Harshman, R. A. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391-407
Dumas, D., & Dunbar, K. N. (2014). Understanding Fluency and Originality: A latent variable perspective. Thinking Skills and Creativity, 14, 56-67. doi: 10.1016/j.tsc.2014.09.003
Forster, E. A., & Dunbar, K. N. (2009, July). Creativity evaluation through latent semantic analysis. In N. A. Taatgen & H. van Rijn (Eds), Proceedings of the 31th Annual Conference of the Cognitive Science Society (pp. 602-7). Austin, TX: Cognitive Science Society.
Green, A. E., Cohen, M. S., Kim, J. U., & Gray, J. R. (2012). An explicit cue improves creative analogical reasoning. Intelligence, 40(6), 598-603. doi: 10.1016/j.intell.2012.08.005
Guilford, J. P. (1956). The structure of intellect. Psychological Bulletin, 53(4), 267-293. doi: 10.1037/h0040755
Guilford, J. P. (1966). Measurement and creativity. Theory Into Practice, 5(4), 185-189. doi: 10.1080/00405846609542023
Guilford, J. P. (1967). The nature of human intelligence. New York: McGraw-Hill.
Hass, R. W. (2015). Feasibility of online divergent thinking assessment. Computers in Human Behavior, 46, 85-93. doi: 10.1016/j.chb.2014.12.056
Hass, R. W. (2016). Tracking the dynamics of divergent thinking via semantic distance: Analytic methods and theoretical implications. Memory & Cognition, 1-12. doi: 10.3758/s13421-016-0659-y
Kaufman, J. C., & Beghetto, R. A. (2009). Beyond big and little: The four c model of creativity. Review of General Psychology, 13(1), 1-12. doi: 10.1037/a0013688
Kerr, B., & Gagliardi, C. (2003). Measuring creativity in research and practice. In S. J. Lopez, & C. R. Snyder (Eds.), Positive psychological assessment: A handbook of models and measures (pp. 155-169). Washington, DC: American Psychological Association.
Kwon, M., Goetz, E. T., & Zellner, R. D. (1998). Developing a Computer‐Based TTCT: Promises and Problems. The Journal of Creative Behavior, 32(2), 96-106.
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211–240. doi: 10.1037/0033-295X.104.2.211
Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse Processes, 25(2-3), 259-284. doi: 10.1080/01638539809545028
Lau, S., & Cheung, P. C. (2010a). Creativity assessment: Comparability of the electronic and paper-and-pencil versions of the Wallach–Kogan Creativity Tests. Thinking Skills and Creativity, 5(3), 101-107. doi: 10.1016/j.tsc.2010.09.04
Lau, S., & Cheung, P. C. (2010b). Developmental trends of creativity: What twists of turn do boys and girls take at different grades?. Creativity Research Journal, 22(3), 329-336. doi: 10.1080/10400419.2010.503543
Lehman, H. C. (1953). Age and achievement. Princeton, NJ: Princeton.
Luo, J., Wang, Q., & Li, Y. (2014, July). Word clustering based on word2vec and semantic similarity. In Proceedings of the 33rd Chinese Control Conference (pp. 517-521). Piscataway, NJ: IEEE. doi: 10.1109/ChiCC.2014.6896677
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability (pp. 281-297). Berkeley, University of California Press.
Mednick, S. A. (1962). The associative basis of creative process. Psychological Review, 69, 220-232.
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013a). Efficient estimation of word representations in vector space. In Proceedings of workshop at ICLR.
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013b). Distributed representations of words and phrases and their compositionality. In Proceedings of neural information processing systems (pp. 3111-3119).
Mikolov, T., Yih, W.-t., & Zweig, G. (2013c). Linguistic regularities in continuous space word representations. In Proceedings of the 2013 conference of the North American chapter of the association for computational linguistics: Human language technologies (pp. 746-751). Association for Computational Linguistics.
Palaniappan, A. K. (2012). Web-based Creativity Assessment System. International Journal of Information and Education Technology, 2(3), 255-258.
Pásztor, A., Molnár, G., & Csapó, B. (2015). Technology-based assessment of creativity in educational context: the case of divergent thinking and its relation to mathematical achievement. Thinking Skills and Creativity, 18, 32-42. doi: 10.1016/j.tsc.2015.05.004
Plucker, J. A., & Renzulli, J. S. (1999). Psychometric approaches to the study of human creativity. In R. J. Sternberg (Eds.), Handbook of creativity (pp. 35-61). New York: Cambridge University Press.
Prabhakaran, R., Green, A. E., & Gray, J. R. (2014). Thin slices of creativity: Using single word utterances to assess creative cognition. Behavior Research Methods, 46(3), 641-659. doi: 10.3758/s13428-013-0401-7
Pretz, J. E., & Link, J. A. (2008). The Creative Task Creator: A tool for the generation of customized, Web-based creativity tasks. Behavior Research Methods, 40(4), 1129-1133. doi: 10.3758/BRM.40.4.1129
Ranjan, A., & Srinivasan, N. (2010). Dissimilarity in creative categorization. The Journal of Creative Behavior, 44(2), 71-83.
Runco, M. A. (2007). Creativity: theories and themes: research, development, and practice. Boston, MA : Elsevier Academic.
Runco, M. A., & Acar, S. (2012). Divergent thinking as an indicator of creative potential. Creativity Research Journal, 24(1), 66-75. doi: 10.1080/10400419.2012.652929
Smith, K. A., Huber, D. E., & Vul, E. (2013). Multiply-constrained semantic search in the Remote Associates Test. Cognition, 128(1), 64-75. doi: 10.1016/j.cognition.2013.03.001
Sparck Jones, K. (1972). A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 28(1), 11-21.
Sung, Y.T., Chang, T.H., Lin, W.C., Hsieh, K.S., and Chang, K.E. (2016). CRIE: An automated analyzer for Chinese texts. Behavior Research Methods, 48(4):1238-1251. doi:10.3758/s13428-015-0649-1
Torrance, E. P. (1962). Guiding creative talent. Englewood Cliffs, NJ: Prentice-Hall.
Torrance, E. P. (1974). Torrance Tests of Creative Thinking: Norms-Technical Manual. Lexington, MA: Ginn.
Torrance, E. P. (1988). The nature of creativity as manifest in its testing. In R. J. Sternberg (Eds.), The nature of creativity (pp. 43-75). Cambridge: Cambridge University Press.
Wallach, M. A., & Kogan, N. (1965). Modes of thinking in young children. New York: Holt, Rinehart, & Winston.
Wang, P., Xu, B., Xu, J., Tian, G., Liu, C. L., & Hao, H. (2016). Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification. Neurocomputing, 174, 806-814. doi: 10.1016/j.neucom.2015.09.096
Xue, B., Fu, C., & Shaobin, Z. (2014). A study on sentiment computing and classification of sina weibo with word2vec. In 2014 IEEE International Congress on Big Data bigdatacongress Big Data (BigData Congress) (pp. 358-363). Piscataway, NJ: IEEE. doi: 10.1109/BigData.Congress.2014.59
Zhang, D., Xu, H., Su, Z., & Xu, Y. (2015). Chinese comments sentiment classification based on word2vec and SVM perf. Expert Systems with Applications, 42(4), 1857-1863. doi: 10.1016/j.eswa.2014.09.011