Abstract
In the present research, we examined the solution of a “Hypothesis Testing for Paired Samples t-test” problem that can be ideally subdivided into four parts: (1) hypothesis generation and formal expression, (2) calculation of the t value, (3) identification of the correct critical t value for the acceptance-refusal of H 0, and (4) the assumption of the correct decision from the comparison between the calculated t and the critical t value. Different response patterns for the problem were obtained. The derived structure represents a partial order. The relation between response patterns and the single elements of the main exercise can be well represented within the framework of the Formal Concept Analysis. From the analysis of the response patterns of a sample of 114 students in a psychometrics course, we derived a Formal Context where the six parts of the “Hypothesis Testing for Paired Samples t-test” exercise were the formal attributes and the response patterns were the formal objects. In our sample only 25 out of the 26 possible response patterns were encountered. A Logistic Model has been applied to develop a measure of the adequacy of each solution’s pattern actually observed. The obtained results are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ganter, B., & Wille, R. (1999). Formal concept analysis: Mathematical foundations. Berlin: Springer.
Duquenne, V. (1999). Latticial structures in data analysis. Theoretical Computer Science, 217, 407–436.
Birkoff, G. (1967). Lattice theory. Providence, RI: American Mathematical Society Colloquium Publication.
Lord, F. M. (1980). Applications of item response theory to practical testing problems. Mahwah, NJ: Erlbaum.
Belohlavek, R., De Baets, B., & Konecny, J. (2014). Granularity of attributes in formal concept analysis. Information Sciences, 260, 149–170.
Schrepp, M. (1999). On the empirical construction of implications between bi-valued test items. Mathematical Social Sciences, 38, 361–375.
Schrepp, M. (2003). A method for the analysis of hierarchical dependencies between items of a questionnaire. Methods of Psychological Research Online, 8(1), 43–79.
Ünlü, A., & Malik, W. A. (2008). Psychometric data analysis: A size/fit trade-off evaluation procedure for knowledge structures. Journal of Data Science, 6, 491–514.
Xu, W., Pang, J. Z., & Luo, S. (2014). A novel cognitive system model and approach to transformation of information granules. International Journal of Approximate Reasoning, 55, 853–866.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Nicotra, E., Spoto, A. (2016). Formal Concept Analysis in Statistical Hypothesis Testing. In: Minati, G., Abram, M., Pessa, E. (eds) Towards a Post-Bertalanffy Systemics. Contemporary Systems Thinking. Springer, Cham. https://doi.org/10.1007/978-3-319-24391-7_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-24391-7_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24389-4
Online ISBN: 978-3-319-24391-7
eBook Packages: Business and ManagementBusiness and Management (R0)