We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byLuke Dalton
Modified over 2 years ago
The Recognition Heuristic Goldstein and Gigerenzer (2002)Goldstein and Gigerenzer (2002) presented evidence that people can profit from inferences from missing knowledge. As an example, they presented evidence that people may use their recognition of cities as a heuristic for estimating the population of a city. People using this heuristic are often surprisingly accurate. recognitionheuristic The logic goes like this: Contributor© POSbase 2005
The Recognition Heuristic If respondents do not know how many inhabitants a city has, they may ask themselves whether or not they know the city. If they do not know the city, they may conclude that it does not have very many inhabitants. Of course, the accuracy of this inference depends on the correlation between the degree to which a city is known and the target criterion, here the population. © POSbase 2005
The Recognition Heuristic In one study, the authors analyzed the correlations among (a) population of American cities, (b) newspaper coverage in the German newspaper Die Zeit, and (c) city recognition among German students. They found the following correlations: © POSbase 2005 City population Newspaper Coverage Recognition.86.66.72
The Recognition Heuristic Similar correlations were found for the correlations among (a) population of German cities, (b) newspaper coverage in the American newspaper Chicago Tribune, and (c) city recognition among American students in Chicago: © POSbase 2005 City population Newspaper Coverage Recognition.79.60.70
The Recognition Heuristic This is a nice example of bounded rationality: People who do not know a city may use the recognition heuristic. This is not optimal in terms of epistemic justification, but it is well enough as a satisficing shortcut to the right decision.bounded rationality Of course, the recognition heuristic works only if there is a positive correlation between the criterion variable and the stimuli a person encounters, but it may be relevant to food avoidance or social bonding. © POSbase 2005
When did Elvis die? Contributor© POSbase 2004 People may not use the availability heuristic for judging only frequencies (Lichtenstein et al., 1978; Tversky.
Models of Ecological Rationality: The Recognition Heuristic Daniel G. Goldstein and Gerd Gigerenzer Psychological Review 2002, Vol. 109, No. 1, 75–90.
Contact Info: Improving Decision Making: The use of simple heuristics Dr. Guillermo Campitelli Cognition Research Group Edith.
Decision Making and Reasoning Chapter 12. Outline 1.Judgment and Decision Making 1.Classical Decision Theory 2.Satisficing 3.Elimination by Aspects 4.Heuristics.
Defaults and Organ Donation The study of Johnson and Goldstein (2003):Johnson and Goldstein (2003): In some countries, people have to opt in that they.
Critical thinking in the context of biology CETL Workshop February 25, 2015 Ben Montgomery NSE (Biology)
Lecture 02. What Did We Learn In Lecture 01? What Is Research? What Is Business Research? What Isn’t Research? Characteristics Of Research Kinds.
+ ©2014 McGraw-Hill Higher Education. All rights reserved. Chapter 2 Personality Assessment, Measurement, and Research Design.
The study of Öhman, Flykt & Esteves (2001):Öhman, Flykt & Esteves (2001) One assumption of the Fear Module assumption (Öhman & Mineka, 2001). is that activation.
Copyright © 2005 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Personality Assessment, Measurement, and Research Design.
Wall Street Weather and Stock Prices The study of Saunders (1993):Saunders (1993): The study examined how the weather at Wall Street influenced stock prices.
Heuristics and Biases. Normative Model Bayes rule tells you how you should reason with probabilities – it is a normative model But do people reason like.
6/30/20151 Decision Making 3 Factors in decision- making.
Recall What was Required in the Rationale Assignment? 1.What is the phenomenon? 2.How is it different & similar to another phenomenon? 3.When/where/how.
WRITING A RESEARCH PROPOSAL. Content What is a proposal? Preparation Structure of a proposal Why research proposal unsuccessful?
Diagnosing – Critical Activity HINF Medical Methodologies Session 7.
Chapter 6 Managers as Decision Makers. Decision Making Decision Making a choice from two or more alternatives. The Decision-Making Process Identifying.
Qualitative and Quantitative Sampling. Types of Nonprobability Sampling Nonprobability sampling Typically used by qualitative researchers Rarely determine.
© 2002 Pearson Education Canada Inc. Slide 8-1 Relevant Information and Decision Making: Marketing Decisions 8.
Economic Rationality. Economics Allocation of scarce resources – “Economics exhibits in purest form the artificial component in human behavior …” Occurs.
RESEARCH METHODS Lecture 18. CRITERIA FOR GOOD MEASUREMENT.
The study of Reber et al. (2006):Reber et al. (2006): © POSbase 2008Contributor People often misjudge their own performance (Kruger, 1999). There are different.
Decision-making II judging the likelihood of events.
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, All Rights Reserved. Chapter Seven Individual & Group Decision Making How Managers Make.
Please read carefully the following names: John Lennon, Regula Meredith, George Bush, Woody Allen, Lara Holmes, Steven Spielberg, Anne Chirac, Helen Myers,
Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.
What Is Perception, and Why Is It Important? People’s behavior is based on their perception of what reality is, not on reality itself.People’s behavior.
Surveys Outline 1. Definition 2. When and why to use surveys 3. How to create a survey.
Chapter 9 Making Decisions K&K And more. Key concepts Models of decision making Rational, normative, optimizing, satisficing, heuristics Contingency model.
Inside the Planning Fallacy The study of Buehler et al. (1994):Buehler et al. (1994): People often commit a planning fallacy where they are overly optimistic.
Population size * Population size doesn’t matter as long as… * Population > 10*n (10*sample size) * As long as your sample is random, and your population.
Decision Making How do people make decisions? Are there differences between making simple decisions vs. complex ones?
STT 350: SURVEY SAMPLING Dr. Cuixian Chen Chapter 2: Elements of the Sampling Problem Elementary Survey Sampling, 7E, Scheaffer, Mendenhall, Ott and Gerow.
Copyright © 2012 Pearson Education Chapter 5 Individual Perception and Decision- Making 5-1 Essentials of Organizational Behavior, 11/e Global Edition.
Validity & Reliability. OBJECTIVES Define validity and reliability Understand the purpose for needing valid and reliable measures Know the most utilized.
BUS304 – Chapters 6, 7, 8,121 Review for Exam 2 (Ch.6,7,8,12) Ch. 6 Sampling Distribution Despite interest in population mean (µ), most of the time we.
Selecting Employees DeNotra Geddis April 11, 2005.
Discriminant Analysis Discriminant analysis is a technique for analyzing data when the criterion or dependent variable is categorical and the predictor.
Chapter 2 DECISION MAKING, SYSTEMS, MODELING, AND SUPPORT.
Inferential Statistics Body of statistical computations relevant to making inferences from findings based on sample observations to some larger population.
The Transmogrifying Experimenter The study of Proulx & Heine (2008):Proulx & Heine (2008): Based on the meaning maintenance model (Heine et al., 2006),
Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.
© 2008 The McGraw-Hill Companies, Inc. All rights reserved Ch. 12 Learning Objectives 1.Compare the rational model of decision making, and the non-rational.
3-1 Essentials of Organizational Behavior, 10/e Stephen P. Robbins & Timothy A. Judge Chapter 3 Perception and Individual Decision Making.
Arguing with limited beings (us, that is) Konrad Talmont-Kaminski, KLI & UMCS.
Speakers‘ overestimation of their effectiveness The study of Keysar & Henly (2002):Keysar & Henly (2002): It has been shown that people who tap a popular.
The Language of Science. Hypothesis: a prediction that can be tested; an educated guess base on observations and prior knowledge Theory: a well tested.
Section 10.1 ~ t Distribution for Inferences about a Mean Introduction to Probability and Statistics Ms. Young.
Copyright © Cengage Learning. All rights reserved. 2 Polynomial and Rational Functions.
Chapter 6 - Standardized Measurement and Assessment
© 2017 SlidePlayer.com Inc. All rights reserved.