Human Judgment and Decision Making: Theories, Methods, and Procedures |
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Seite 74
Moreover , causal ambiguity is produced because ( 1 ) surface data are less than
perfectly related to depth variables , ( 2 ) functional relations between surface and
depth variables may assume a variety of forms ( linear , curvilinear ) , and ( 3 ) ...
Moreover , causal ambiguity is produced because ( 1 ) surface data are less than
perfectly related to depth variables , ( 2 ) functional relations between surface and
depth variables may assume a variety of forms ( linear , curvilinear ) , and ( 3 ) ...
Seite 224
These schemata can be interpreted as a repertoire of abstract ideas about the
operation and interaction of causal factors . The individual uses these schemata
to fit bits and pieces of relevant information into an interpretable framework and ...
These schemata can be interpreted as a repertoire of abstract ideas about the
operation and interaction of causal factors . The individual uses these schemata
to fit bits and pieces of relevant information into an interpretable framework and ...
Seite 250
... 197 , 223 Axioms , 10 , 45 , 147-149 , 151 , 157 , 163 , 181 in conjoint
measurement , 154 of probability theory , 93 , 217 of SEU theory , 44 , 120 , 126 ,
132 testing validity of , 130 Calibration , 93 , 196 , 201-202 Case histories , 93
Causal ...
... 197 , 223 Axioms , 10 , 45 , 147-149 , 151 , 157 , 163 , 181 in conjoint
measurement , 154 of probability theory , 93 , 217 of SEU theory , 44 , 120 , 126 ,
132 testing validity of , 130 Calibration , 93 , 196 , 201-202 Case histories , 93
Causal ...
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Inhalt
THEORY | 6 |
Introduction to Theory | 17 |
Scope | 31 |
Urheberrecht | |
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aggregation aids alternatives analysis appears applied asked attributes basic behavior Brunswik causal Chapter characteristics choice claims cognitive combinations common complex concepts concerned construction criterion cues decision maker DECISION THEORY decomposition defined described descriptive developed dimensions direct discussed distinction Edwards effects efforts empirical environment environmental evaluation example formal function given Group Hammond human idiographic important independence indicate individuals inference integration intended interest involving judges judgment and decision Keeney knowledge levels logical major means measurement methods multiple nomothetic noted objective observable offers optimality organizing principles origins persons possible preference present probability problem procedures processes psychological questions regard relative representativeness require respect response scale similar six approaches social specific statistical stimuli studies subjective task theoretical theorists Tversky uncertainty usually utility variables various weights