References

Ambrosio, A. P., Almeida, L. S., Macedo, J., & Franco, A. (2014). Exploring core cognitive skills of computational thinking. Psychology of programming interest group. Annual conference 2014 (PPIG 2014) (ss. 25–34).

Anastasi, A. (1982). Psychological Testing. (6th ed.). New York: McMillan.

Armoni, M., Meerbaum-Salant, O., & Ben-Ari, M. (2015). From scratch to “real” programming. ACM Transactions on Computing Education, 14, 4.

Arrindell, W. A., & Van der Ende, J. (1985). An empirical test of the utility of the observer-to-variables ratio in factor and components analysis. Applied Psychological Measurement, 9, 165–178.

Barbera, J., Naibert, N., Komperda, R., & Pentecost, T. C. (2021). Clarity on Cronbach’s  Alpha use. Journal of Chemical Education. 98, 257-258. DOI: 10.1021/acs.jchemed.0c00183

Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? ACM Inroads, 2, 48-54.

Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing computational thinking in compulsory education-implications for policy and practice. Seville: Join Research Center (European Commission). 21.02.2018, http://publications.jrc.ec.europa.eu/repository/bitstream/JRC104188/jrc104188_computhinkreport.pdf.

Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Annual American Educational Research Association Meeting. British Columbia: Vancouver.

Cole, D. A. (1987). Utility of confirmatory factor analysis in test validation research. Journal of Consulting and Clinical Psychology, 55, 584–594. [6]

Cronbach, L. J. (1970). Essentials of Psychological Testing. (3rd ed.). New York: Harper and Row Pub. 

Cronbach, L. J., & Shavelson, R. J. (2004). My Current Thoughts on Coefficient Alpha and Successor Procedures. Educucational  Psychology  Measurement, 64 (3), 391−418.

Cuny, J., Snyder, L., & Wing, J. (2010). Demystifying computational thinking for non-computer scientists. 12.12.2018, http://people.cs.vt.edu/~kafura/ CS6604/Papers/CT-What-And-Why.pdf

Davey, A., & Savla, J. (2010). Statistical Power Analysis With Missing Data. A Structural Equation Modeling Approach. New York: Taylor & Francis Group, LLC.

Denning, P. J. (2007). Computing is a natural science. Commun. ACM, 50, 13-18.

Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational Thinking A Guide for Teachers. 02.01.2019, http://eprints.soton.ac.uk/id/eprint/424545

Çokluk, Ö. S., Şekercioğlu, G., & Büyüköztürk, S. (2012). Sosyal Bilimler İçin Çok Değişkenli İstatistik: Spss ve Lisrel Uygulamaları. Ankara: Pegem Akademi Yayıncılık.

Demir, E., Saatçioğlu, Ö., & İmrol, F. (2016). Uluslararası Dergilerde Yayımlanan Eğitim Araştırmalarının Normallik Varsayımları Açısından İncelenmesi. Curr Res Educ. 2(3). 130-148

DeVellis, R. F.(1991).  Scale Development: Theory and Applications. Newbury Park, CA: Sage; 1991.

Edelson, D. (2002). Pedagogical Aspects of Computational Thinking. 12.12.2018. Available: http://www.nap.edu/catalog.php?record_id=13170

Erkuş, A. (2016). Psikolojide Ölçme ve Ölçek Geliştirme I: Temel Kavramlar ve İşlemler. Pegem akademi. (3. Baskı). Ankara

Field, A. (2009). Discovering Statistics Using SPSS. London: SAGE Publications.

Floyd, F. J., & Widaman, K.F. (1995). Factor Analysis in The Development and Refinement of Clinical Assessment Instruments. Psychological Assessment, 7(1), 286–299.

Ford, J. K., MacCullum, R. C., & Tait, M. (1986). The Application of Exploratory Factor Analysis in Applied Psychology: A Critical Review And Analysis. Personnel Psychology, 39, 291–314.

García-peñalvo, F. J., Rees, A. M., Hughes, J., & Vermeersch, J. (2016). A survey of resources for introducing coding into schools. Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’16), 19–26.

Gorsuch, R.L. (1983). Factor analysis (2nd ed.). Lawrence Erlbaum Associates, Inc.. ISBN-10: 089859202X

Gouws, L., Bradshaw, K., & Wentworth, P. (2013). First year student performance in a test for computational thinking. Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference on - SAICSIT’13. doi:10.1145/2513456.2513484 

Grover, S., Cooper, L., & Pea, R. (2013). Computational Thinking in K-12: A Review of the State of the Field. Educational Researcher, 42(1), 38–43.

Guadagnoli, E., & Velicer, W.F.(1988). The releationship of the sample size to the stability of component patternes. Psychological Bulletin, 103, 265-275.

Guzdial, M., Kay, A., Norris, C., & Soloway, E. (2019). Computational Thinking Should Be Good Thinking. Communications of the ACM, November 2019, Vol. 62 No. 11, Pages 28-3010.1145/3363181

Gülbahar, Y., Kert, S. B., & Kalelioğlu, F. (2019). Bilgi İşlemsel Düşünme Becerisine Yönelik Öz Yeterlik Algısı Ölçeği: Geçerlik ve Güvenirlik Çalışması . Turkish Journal of Computer and Mathematics Education (TURCOMAT) , 10 (1) , 1-29 . DOI: 10.16949/turkbilmat.385097

Hinkle, D.E., Wiersma, W., & Jurs., S. G. (1981). Applied Statistics For The Behavioral Sciences. Chicago: Rand McNally.

ISTE (2016). Computational Thinking (Learner). ISTE website, Computational Thinking, date of access: 12.08.2017. https://iste.org/standards/computational-thinking

Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural Equation Modeling With The SIMPLIS Command Language. New York: Scientific Software International, Inc.

Karasar, N. (2013). Bilimsel Araştırma Yöntemi. İstanbul: Nobel Yayin Dağitim .

Kalelioğlu, F., & Gülbahar, Y. (2015). Bilgi İşlemsel Düşünme Nedir ve Nasıl öğretilir?.3th International Instructional Technology and Teacher Education Symposium. Trabzon, Türkiye, September 9 – 11, 2015.

Kalelioğlu, F., Gülbahar, Y., Akçay, S., & Doğan, D. (2014). Curriculum Integration Ideas for Improving the Computational Thinking Skills of Learners through Programming via Scratch. The 7th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives. Istanbul University, Turkey, September 22-25.

Kline, P. (1994). An Easy Guide To Factor Analysis. Routledge Press.

Lockheed, M. E. (1985). Women, girls, and computers: A first look at the evidence. Sex Roles, 13, 115–122. Access date: 12.11.2018, https://link.springer.com/article /10.1007/ BF00287904.

MacCallum, R. C., & Tucker, L.R. (1991). Representing sources of error in the common factor model: Implications for theory and practice. Psychological Bulletin, 109(3), 502.

Mertler, C.A., & Vannatta, R.A. (2005). Advanced And Multivariate Statistical Methods: Practical Application And Interpretation. (Third edition). United States: Pyrczak Publishing.

Mulaik, S.A. (1990). Blurring the Distinctions Between Component Analysis and Common Factor Analysis. Multivariate Behavioral Research, 25(1), 53-59.

Nunnally, J.C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill

Orton, K., Weintrop, D., Beheshti, E., Horn, M., Jona, K., & Wilensky, U. (2016). Bringing computational thinking into high school mathematics and science classrooms. Transforming Learning, Empowering Learners. The International Conference of The Learning Sciences (ICLS) (ss. 705–712).

Özmen, B., & Altun, A. (2014). Undergraduate students’ experiences in programming Difficuities and obstacles. Turkish Online Journal of Qualitative Inquiry, July 2014, 5(3)

Papert, S. (1980). Computers For Children. Mindstorms: Children, Computers, and Powerful Ideas. Basic Books, Inc. Publishers / New York

Pett, M.A., Lackey, N.R., & Sullivan, J.J. (2003) Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research. SAGE Publications, Thousand Oaks.http://dx.doi.org/10.4135/9781412984898

Repenning, A., Webb, D., & Ioannidou, A. (2010). Scalable game design and the development of a checklist for getting computational thinking into public schools. In Proceedings of the 41st ACM Technical Symposium On Computer Science Education (SIGCSE ‘10) (pp. 265–269). New York, NY: ACM Press.

Scherer, R.F., Wiebe, F.A., Luther, D.C., & Adams J.S. (1988), Dimensionality of Coping: Factor Stability Using the Ways of Coping Questionnaire. Psychological Reports, 62, 763-770.

Schwartz, D.L., & Martin, T. (2004). Inventing to prepare for future learning: The hidden efficiency of encouraging original student production in statistics instruction. Cognition and Instruction, 22(2), 129–184.

Seiter, L., & Foreman, B. (2013). Modeling the learning progressions of computational thinking of primary grade students. In Proceedings of the Ninth Annual International ACM Conference on International Computing Education Research, 59-66. ACM

Selby, C., & Woollard, J. (2013). CT: The developing definition. Erişim Tarihi:14.11.2018 http://eprints.soton.ac.uk/356481/.

Snook, S. C., & Gorsuch, R.L. (1989). Common factor analysis vs. component analysis. Psychological Bulletin, 106,148–154.

Steiger, J.H. (1990). Some Additional Thoughts on Components, Factors, and Factor Indeterminacy. Multivariate Behavioral Research, 25(1), 41-45.

Stevens, J. P. (2009). Applied Multivariate Statistics For The Social Sciences (Fifth edition). United States: Taylor and Francis Group, LLC.

Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics (5. Baskı). Boston: Allyn and Bacon.

Quinn, G. P., & Keough, M., J. (2002). Experimental Design and Data Analysis For Biologists. United States: Cambridge University Press

Werner, L., Campe, S., & Denner, J. (2012). Children learn computer science concepts via Alice game programming. In Proceedings of the 43rd ACM Technical Symposium On Computer Science Education (SIGCSE '12) (pp. 427–432). New York, NY: ACM.

Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49, 33–36.

Wing, J.M. (2014). Computational Thinking Benefits Society. 40th Anniversary Blog of Social Issues in Computing, 2014.

Yeni, Z. (2017). Bilgi İşlemsel Düşünmede Değerlendirme. Y. Gülbahar (Editör). Bilgi İşlemsel Düşünmeden Programlamaya (341-356). Ankara. Pegem Akademi

Yıldız Durak, H., & Sarıtepeci, M. (2018). Analysis of the Relation Between Computational Thinking Skills and Various Variables with the Structural Equation Model. Computers & Education, 116 (2018), 191-202.