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      Using Stimulus-Equivalence Technology to Teach Skills About Nutritional Content

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          Abstract

          Twenty-two adult participants, assigned to three conditions, were trained nutrition knowledge (i.e., carbohydrate values) for different food items. In a stimulus sorting test, the participants were asked to sort stimuli (names of food items) into one of three different ranges of carbohydrate values ("less than 20", "20–40", "more than 40" gram per 100 gram). Conditional-discrimination training and testing followed the sorting test, and finally, a postclass formation sorting test of the stimuli used in the conditional-discrimination training. The conditional-discrimination training used tailored stimuli, that is, the food items that each of the participants categorized incorrectly in the sorting test. Participants exposed to Conditions 1 and 2 were trained on six conditional discriminations and tested for the formation of three 3-member classes. Conditions 2 and 3 had a “don’t know” option together with the three different ranges of carbohydrate values in the sorting for tailoring the stimuli. Participants exposed to Condition 3 trained were trained on 12 conditional discriminations and tested for the formation of three 5-member classes. The main findings showed that all but one of the participants responded correctly on at least one test for equivalence class formation and sorted the stimuli correctly in the postclass formation sorting test.

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          Conditional discrimination vs. matching to sample: an expansion of the testing paradigm.

          A subject's performance under a conditional-discrimination procedure defines conditional relations between stimuli: "If Al, then Bl; if A2, then B2." The procedure may also generate matching to sample. If so, the stimuli will be related not only by conditionality, but by equivalence: Al and Bl will become equivalent members of one stimulus class, A2 and B2 of another. One paradigm for testing whether a conditional-discrimination procedure has generated equivalence relations uses three sets of stimuli, A, B, and C, three stimuli per set. Subjects learn to select Set-B and Set-C comparisons conditionally upon Set-A samples. Having been explicitly taught six sample-comparison relations, A1B1, A1C1, A2B2, A2C2, A3B3,and A3C3, subjects prove immediately capable of matching the B- and C-stimuli; six new relations emerge (B1C1, B2C2, B3C3, C1B1, C2B2, C3B3). The 12 stimulus relations, six taught and six emergent, define the existence of three three-member stimulus classes, A1B1C1, A2B2C2 and A3B3C3. This paradigm was expanded by introducing three more stimuli (Set D), and teaching eight children not only the AB and AC relations but DC relations also-selecting Set-C comparisons conditionally upon Set-D samples. Six of the children proved immediately capable of matching the B- and D-stimuli to each other. By selecting appropriate Set-B comparisons conditionally upon Set-D samples, and Set-D comparisons conditionally upon Set-B samples, they demonstrated the existence of three four-member stimulus classes, A1B1C1D1, A2B2C2D2, and A3B3C3D3. These larger classes were confirmed by the subjects' success with the prerequisite lower-level conditional relations; they were also able to select Set-D comparisons conditionally upon samples from Sets A and C, and to do the BC and CB matching that defined the original three-member classes. Adding the three DC relations therefore generated 12 more, three each in BD, DB, AD, and CD. Enlarging each class by one member brought about a disproportionate increase in the number of emergent relations. Ancillary oral naming tests suggested that the subject's application of the same name to each stimulus was neither necessary nor sufficient to establish classes of equivalent stimuli.
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            Young children's dietary habits and associations with the mothers' nutritional knowledge and attitudes.

            The study investigates the dietary habits of Flemish preschoolers and associations of these habits with both sociodemographic characteristics and the mother's nutritional knowledge and attitudes. A sample of 862 parents of preschoolers from 56 schools completed a questionnaire including sociodemographic characteristics, a food-frequency questionnaire to assess children's dietary intake, and a nutritional knowledge-and-attitude questionnaire. Regression analysis showed a lower dietary adequacy in children of mothers with low and medium level of education, medium-ranked occupation, and lower levels of both nutritional knowledge and food-related health attitude. The highest excess score (representing items that should be avoided or moderated) was found in children of mothers with low education level, without a job, with three or more children, of age less than 30 years, and possessing lower levels of nutritional knowledge and attitude scores for health and taste. The associations of the dietary adequacy and excess scores with sociodemographic background can help practitioners to develop better-tailored nutrition interventions. The associations with the mothers' nutritional knowledge and attitudes support the inclusion of knowledge and attitudes in dietary interventions. 2009 Elsevier Ltd. All rights reserved.
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              Good Grubbin': impact of a TV cooking show for college students living off campus.

              To determine if a series of 4 15-minute, theory-driven (Social Cognitive Theory) cooking programs aimed at college students living off campus improved cooking self-efficacy, knowledge, attitudes, and behaviors regarding fruit and vegetable intake.
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                Author and article information

                Contributors
                erik.arntzen@equivalence.net
                Journal
                Perspect Behav Sci
                Perspect Behav Sci
                Perspectives on Behavior Science
                Springer International Publishing (Cham )
                2520-8969
                2520-8977
                21 April 2020
                21 April 2020
                September 2020
                : 43
                : 3
                : 469-485
                Affiliations
                Department of Behavioral Science, Oslo Metropolitan University, PO Box 4, St. Olavs Plass, 0130 Oslo, Norway
                Author information
                http://orcid.org/0000-0002-8471-1058
                Article
                250
                10.1007/s40614-020-00250-2
                7490308
                5d6dbbcd-af27-4bc3-8136-25d5fea5a0f2
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Funding
                Funded by: OsloMet - Oslo Metropolitan University
                Categories
                Health, Technology & Behavior Science
                Custom metadata
                © Association for Behavior Analysis International 2020

                carbohydrates,college students,effectiveness,nutrition,stimulus equivalence

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