Statistical judgments are influenced by the implied likelihood that samples represent the same population.
When sample information is combined, it is generally considered normative to weight information based on larger samples more heavily than information based on smaller samples. However, if samples appear likely to have been drawn from different subpopulations, it is reasonable to combine estimates of...
| Publicado en: | Memory & Cognition Vol. 40; no. 3; pp. 420 - 434 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Apr2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=73463871&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 73463871 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Apr2012 vid: 40 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 73463871 10.3758/s13421-011-0155-3 ppf: 420 ppct: 14 formats: fmt: @attributes: type: P size: 300KB tig: atl: Statistical judgments are influenced by the implied likelihood that samples represent the same population. aug: au: Chesney, Dana Obrecht, Natalie affil: Department of Psychology, University of Notre Dame, 118 Haggar Hall Notre Dame 46556 USA Department of Psychology, William Paterson University, 300 Pompton Road Wayne 07470 USA su: Indiana New Jersey Analysis of variance Individuality Judgment (Psychology) Learning Problem solving Task performance Undergraduates Probability theory Questionnaires Research funding Statistical sampling Sample size (Statistics) Data analysis software Descriptive statistics sug: subj: Analysis of variance Individuality Judgment (Psychology) Learning Problem solving Task performance Undergraduates Indiana New Jersey Marketing Research and Public Opinion Polling Probability theory Questionnaires Research funding Statistical sampling Sample size (Statistics) Data analysis software Descriptive statistics keyword: Individual differences Inductive reasoning Judgment Mathematical cognition Reasoning Individual differences Inductive reasoning Judgment Mathematical cognition Reasoning ab: When sample information is combined, it is generally considered normative to weight information based on larger samples more heavily than information based on smaller samples. However, if samples appear likely to have been drawn from different subpopulations, it is reasonable to combine estimates of these subpopulation means (typically, the sample means) without weighting these estimates by sample size. This study investigated whether laypeople are influenced by the likelihood of samples coming from the same population when determining how to combine information. In two experiments we show that (1) implied binomial variability affected participants' judgments of the likelihood that a sample was drawn from a given population, (2) participants' judgments were more affected by sample size when samples were implied to be drawn randomly from a general population, compared to when they were implied to be drawn from different subpopulations, and (3) people higher in numeracy gave more normative responses. We conclude that when determining how to weight and combine samples, laypeople use not only the provided data, but also information about likelihood and sampling processes that these data imply. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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