Day13 - Psychology 2050 Perception Day 13 7 October 10 prelims handed back Thursday 14 October New York voter registration deadline Friday 8 Oct

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Unformatted text preview: Psychology 2050 Perception Day 13 7 October 10 prelims handed back Thursday, 14 October New York voter registration deadline, Friday 8 Oct for mail in ballots Parapsychology mediumship -- magicians vs. physicists psychokinesis -- Uri Geller & James Randi precognition -- seers telepathy -- 1975, J.B. Rhine AAAS accepts in 1969 clairvoyance -- autoganzfeld experiments case studies vs. scientific method replicability probability & statistics - a priori - chance - a posteriori - base rate Does use of the scientific method imply that the research is science? Why is extrasensory perception (ESP) interesting theoretically? 1. flip a mental coin 2. pick a number between 1 and 10 3. choose a pattern of pluses and minuses Why is extrasensory perception (ESP) interesting theoretically? 1. the role of belief in science (and all of academia) 2. Johannes Müller’s Doctine : peripheral nervous system (PNS) --> CNS ESP would bypass PNS no known receptors direct knowledge of the world without sensory information 3. relation of scientific methods to science Standard Scientific Method --> search for patterns and their meaning null hypothesis -- H “ no pattern ” , no special need for understanding cause experimental hypothesis -- H 1 there is a pattern of interest and we need to understand the cause Standard Scientific Methods null hypothesis -- H experimental hypothesis -- H 1 Logic: 3 steps 1. devise situation for statistical test 2. test H o ; that is, assess its likelihood 3. if improbable, assume H 1 is true criterion --> p < .05 if not improbable, assume H o is true criterion --> p > .05 One can never prove the experimental hypothesis true. Results corroborate theories; they do not prove them true or false Proof of truth is possible only in sufficiently closed systems, such as math and logic. Why? Issues: 1. many H 1 s (or H 1, H 2, H 3, H 4 …) There are an indefinitely large number of theories that can account for any set of data. 2. occurrence of logical error in step 3 … if improbable, assume H 1 is true if not improbable, assume H is true Type 1 error - reject H when it is true Type 2 error - accept H when it is false Example of multiple H 1 s: Linear induction 1, 2, 3, 4, 5, ..... Example of multiple H 1 s: Linear induction 1, 2, 3, 4, 5, ..... k = place in sequence n = number in that place Linear induction 1, 2, 3, 4, 5, ........
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This note was uploaded on 01/27/2011 for the course PSYCH 2050 at Cornell University (Engineering School).

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Day13 - Psychology 2050 Perception Day 13 7 October 10 prelims handed back Thursday 14 October New York voter registration deadline Friday 8 Oct

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