FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2946648753> ?p ?o ?g. }

• W2946648753 abstract "In order to support people’s statistical and especially Bayesian reasoning, in cognitive psychology the change of information format from probabilities (e.g., 80%) into natural frequencies (e.g., “80 out of 100”) has strongly dominated discussions. Furthermore, in the framework of teaching statistics and probability at school and university, visualizations such as tree diagrams and 2×2 tables are prominent tools for fostering understanding. Previous work of our research group (Binder et al., 2015) demonstrated that–despite their widespread use in statistical textbooks—both visualizations are only of restricted help when filled with probabilities, but that they can foster insight when equipped with frequencies. In the present article, we examine by the method of eye-tracking why probabilistic 2×2 tables and tree diagrams do not work regarding Bayesian inferences (i.e., which errors occur and whether they can be explained by scan paths), and why the same visualizations are of great help when filled with frequencies (i.e. how scan paths change, when the information format changes in both visualizations). For checking the appropriateness of heat maps (that summarize scan paths) for explaining underlying reasoning processes, we first asked N=24 participants for marginal, conjoint, (non-inverted) conditional probabilities (or frequencies, respectively). All inferences in the present study were based solely on tree diagrams or 2×2 tables, displaying either the famous “mammography context” or an “economics context”. The information format in these visualizations varied systematically, while additional textual wording was not presented. After analyses of eye movements proved to be an adequate, reliable, and valid measure of people’s strategies in these “basic” tasks, the same participants were presented respective Bayesian tasks yielding noticeable differences—with respect to both qualitative and quantitative measures—between the correct and incorrect solutions. Altogether, 20 inferences of each participant (twelve non-Bayesian and eight Bayesian) resulted in a total of 20×24 = 480 inferences that were condensed in heat maps for analyses aiming to explaining errors in the line of theoretical classifications (e.g., Gigerenzer and Hoffrage, 1995). In deepening our understanding of the cognitive problems underlying Bayesian reasoning errors we continue recent research by our working group (Weber et al., 2018)." @default.
• W2946648753 created "2019-05-29" @default.
• W2946648753 creator A5018765975 @default.
• W2946648753 creator A5021406312 @default.
• W2946648753 creator A5039379973 @default.
• W2946648753 creator A5059032544 @default.
• W2946648753 date "2019-05-15" @default.
• W2946648753 modified "2023-09-29" @default.
• W2946648753 title "An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables" @default.
• W2946648753 cites W1124355382 @default.
• W2946648753 cites W1483558952 @default.
• W2946648753 cites W1484846154 @default.
• W2946648753 cites W1552473460 @default.
• W2946648753 cites W1555765954 @default.
• W2946648753 cites W1573703326 @default.
• W2946648753 cites W1815763400 @default.
• W2946648753 cites W1845662074 @default.
• W2946648753 cites W1860905340 @default.
• W2946648753 cites W1920505044 @default.
• W2946648753 cites W1965692977 @default.
• W2946648753 cites W1969769863 @default.
• W2946648753 cites W1971568690 @default.
• W2946648753 cites W1973727966 @default.
• W2946648753 cites W1975625753 @default.
• W2946648753 cites W1976052742 @default.
• W2946648753 cites W1982084753 @default.
• W2946648753 cites W1983291748 @default.
• W2946648753 cites W1986107724 @default.
• W2946648753 cites W1988061708 @default.
• W2946648753 cites W1991058498 @default.
• W2946648753 cites W2001276843 @default.
• W2946648753 cites W2002128394 @default.
• W2946648753 cites W2009191024 @default.
• W2946648753 cites W2017606533 @default.
• W2946648753 cites W2018725919 @default.
• W2946648753 cites W2026941875 @default.
• W2946648753 cites W2033565928 @default.
• W2946648753 cites W2036102300 @default.
• W2946648753 cites W2037557484 @default.
• W2946648753 cites W2039395668 @default.
• W2946648753 cites W2050540272 @default.
• W2946648753 cites W2054045882 @default.
• W2946648753 cites W2063044959 @default.
• W2946648753 cites W2064226402 @default.
• W2946648753 cites W2066567226 @default.
• W2946648753 cites W2071241117 @default.
• W2946648753 cites W2072372877 @default.
• W2946648753 cites W2073215148 @default.
• W2946648753 cites W2076509492 @default.
• W2946648753 cites W2078536930 @default.
• W2946648753 cites W2081541535 @default.
• W2946648753 cites W2088642421 @default.
• W2946648753 cites W2092164860 @default.
• W2946648753 cites W2098502919 @default.
• W2946648753 cites W2099613469 @default.
• W2946648753 cites W2105539942 @default.
• W2946648753 cites W2108566571 @default.
• W2946648753 cites W2109721039 @default.
• W2946648753 cites W2123781216 @default.
• W2946648753 cites W2127234931 @default.
• W2946648753 cites W2129993503 @default.
• W2946648753 cites W2132726456 @default.
• W2946648753 cites W2136766920 @default.
• W2946648753 cites W2137878155 @default.
• W2946648753 cites W2140369176 @default.
• W2946648753 cites W2142018610 @default.
• W2946648753 cites W2144066648 @default.
• W2946648753 cites W2153000380 @default.
• W2946648753 cites W2158553842 @default.
• W2946648753 cites W2161525872 @default.
• W2946648753 cites W2167845220 @default.
• W2946648753 cites W2168158137 @default.
• W2946648753 cites W2168783807 @default.
• W2946648753 cites W2168965747 @default.
• W2946648753 cites W2170442838 @default.
• W2946648753 cites W2188398335 @default.
• W2946648753 cites W2203654542 @default.
• W2946648753 cites W2323393750 @default.
• W2946648753 cites W2341714134 @default.
• W2946648753 cites W2570755836 @default.
• W2946648753 cites W2598680168 @default.
• W2946648753 cites W2658830562 @default.
• W2946648753 cites W2766185881 @default.
• W2946648753 cites W2789164954 @default.
• W2946648753 cites W2789832605 @default.
• W2946648753 cites W2795340751 @default.
• W2946648753 cites W2897860938 @default.
• W2946648753 cites W3159934092 @default.
• W2946648753 cites W4212904474 @default.
• W2946648753 cites W4233936506 @default.
• W2946648753 cites W4243177274 @default.
• W2946648753 cites W2344600850 @default.
• W2946648753 doi "https://doi.org/10.3389/fpsyg.2019.00632" @default.
• W2946648753 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6530428" @default.
• W2946648753 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31156488" @default.
• W2946648753 hasPublicationYear "2019" @default.
• W2946648753 type Work @default.
• W2946648753 sameAs 2946648753 @default.
• W2946648753 citedByCount "12" @default.
• W2946648753 countsByYear W29466487532020 @default.

• next