On Pseudo-Statistical Independence in a Contingency Table

Epstein's “Constructive Thinking Inventory” (CTI) was developed to measure the construct of experiential intelligence, which is based on his cognitive-experiential self-theory. Inventory items were generated by sampling naturally occurring automatic cognitions. Using principal component analysis, the findings showed a global factor of coping ability as well as six main factors: Emotional Coping, Behavioral Coping, Categorical Thinking, Personal Superstitious Thinking, Esoteric Thinking, and Naive Optimism. We tested the replicability of this factor structure and the amount of statistical independence (nonredundancy) between these factors in an initial study of German students (Study 1, N = 439) and in a second study of patients with chronic skin disorders (Study 2, N = 187). Factor congruence with the original (American) data was determined using a formula proposed by Schneewind and Cattell (1970) . Our findings show satisfactory factor congruence and statistical independence for Emotional Coping and Esoteric Thinking in both studies, while full replicability or independence could not be found in both for the other factors. Implications for the use and further development of the CTI are discussed.

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Statistical analysis for data of multidimensional contingency table with SAS software package (Part four)

Journal of Chinese Integrative Medicine ◽

10.3736/jcim20100215 ◽

2010 ◽

Vol 8 (2) ◽

pp. 186-189 ◽

Cited By ~ 1

Author(s):

H Gao ◽

LP Hu

Keyword(s):

Statistical Analysis ◽

Software Package ◽

Contingency Table ◽

Multidimensional Contingency Table

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Statistical analysis for data of multidimensional contingency table with SAS software package (Part one)

Journal of Chinese Integrative Medicine ◽

10.3736/jcim20091112 ◽

2009 ◽

Vol 7 (11) ◽

pp. 1086-1089 ◽

Cited By ~ 2

Author(s):

Y Ge

Keyword(s):

Statistical Analysis ◽

Software Package ◽

Contingency Table ◽

Multidimensional Contingency Table

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A new method for identifying the role of marital preferences at shaping marriage patterns

Journal of Demographic Economics ◽

10.1017/dem.2021.1 ◽

2021 ◽

pp. 1-27

Author(s):

Anna Naszodi ◽

Francisco Mendonca

Keyword(s):

Contingency Table ◽

Transformation Method ◽

New Method ◽

Marriage Patterns ◽

The Us ◽

Analytical Properties ◽

The Matrix ◽

Transformation Methods

Abstract We develop a method which assumes that marital preferences are characterized either by the scalar-valued measure proposed by Liu and Lu, or by the matrix-valued generalized Liu–Lu measure. The new method transforms an observed contingency table into a counterfactual table while preserving its (generalized) Liu–Lu value. After exploring some analytical properties of the new method, we illustrate its application by decomposing changes in the prevalence of homogamy in the US between 1980 and 2010. We perform this decomposition with two alternative transformation methods as well where both methods capture preferences differently from Liu and Lu. Finally, we use survey evidence to support our claim that out of the three considered methods, the new transformation method is the most suitable for identifying the role of marital preferences at shaping marriage patterns. These data are also in favor of measuring assortativity in preferences à la Liu and Lu.

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