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introduction

Course: PSYCH 398, Fall 2009
School: W. Alabama
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Introduction Psychology 398 Research in Memory and Attention Two Approaches to Memory Neisser (1978; 1981) High road to find basic mental mechanisms that can be demonstrated in well-controlled experiments Low road to understand the specific manifestations of memory in ordinary human experience The Modal Model Sensory Memory Short-term Memory Long-term Memory A sensory store for EACH Sense modalities 1 Neisser s...

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Introduction Psychology 398 Research in Memory and Attention Two Approaches to Memory Neisser (1978; 1981) High road to find basic mental mechanisms that can be demonstrated in well-controlled experiments Low road to understand the specific manifestations of memory in ordinary human experience The Modal Model Sensory Memory Short-term Memory Long-term Memory A sensory store for EACH Sense modalities 1 Neisser s (1978) Critique of the High Road Provide no answer to questions of our layperson friend Why is it difficult to remember appointments? Findings are obvious Kreutzer, Leonard & Flavell (1975) Ecological validity The Reply Banaji & Crowder (1989) Lay questions Lab studies are interested in lay questions but seek to answer them by generalizing laboratory findings why should lay people decide what is interesting? Findings are obvious many do find them interesting confirmation of preconceived theories is important preconceived theories are often wrong Ecological validity assumes that lifelike methods will always lead to conclusions that will generalize to other situations Array of Approaches Banaji & Crowder (1989) Ecological Validity of Methods High High Generalizability of Results Low Low 2
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SPRP Method Computer: IBM Compatible 486DX2 66 Software: Micro Experimental Laboratories 2.0 (MEL 2.0) Trial outline Fixation Cross until spacebar Blank screen (500ms) Prime (500ms) lower case, centered at fixation, horizontal Blank screen (500ms) To
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STAT 360-Linear ModelsInstructor: Yogendra P. Chaubey Due Date: November 11, 2004Assignement IV Q 1. Question 4.4 of the text. Q 2. Question 4.8 of the text. Q 3. Question 4.12 of the text. Q 4. Question 5.6 of the text. Q 5. Question 5.18 of the t
Concordia Canada - STAT - 360
Chapter 5. Continued5.5 Analysis of Variance Results Sum of Squares SSTO We use the following expression for SSTO, SST O =iYi2(Yi )2 . nIt is easy to see that Yi2 = Y Y,i iYi = 1 Y ,where 1 represents a column vector of all 1s. Hence
Contra Costa College - STAT - 360
[1]Chapter 6. Multiple Linear Re-gression.Continued6.7 Estimation of Mean Response and Prediction of New Observations] Interval Estimation of E{Yh} We are interested in estimating E{Y |X1 = Xh1 , ., Xp1 = Xh(p1) }. Let us dene the vector Xh by
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W. Alabama - ECE - 438
User: jjaffariDate: Jun 27, 2007Time: 11:20:20 AM EDTExpressionstpHL100tpLHtp90.080.070.0Y0 (E12)60.050.tpHL=tpLH ratio=2.61340.030.020.010.02.55.0ratio ()7.510.0User: jjaffariDate: Jun 27, 2007Time:
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W. Alabama - ECE - 438
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W. Alabama - ECE - 438
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W. Alabama - ECE - 438
W. Alabama - ECE - 438
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W. Alabama - ECE - 438
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W. Alabama - ECE - 438
W. Alabama - ECE - 438
W. Alabama - ECE - 438
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W. Alabama - ECE - 438
W. Alabama - ECE - 438
MOSFET Unified Current Model:VGS > VT ID = k ' V min W V2 (VGT V min min )(1 + V DS ) L 2 = min( V GT ,V DS ,V DSAT ) V SB + 2 f 2 f )Multiply by channel length modulation term ONLY in saturation region (for long and short channels)VGT = VGS
W. Alabama - ECE - 438
W. Alabama - ECE - 438
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W. Alabama - ECE - 438
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W. Alabama - ECE - 438
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Université du Québec à Montréal - PSY - 4130
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APPENDICE 1Figure 2.01Figure 2.02
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t zx { p z t y { } y pr y | n y y n lb3ly1 iPm@yvyim1ly!v3l!lnPi3P{C3@yyj@i@y1i@iP13l@n j@yu!3jvi3l!ln1l!i!l3!@mi!C!u!z@y3iv{13!1v@ n p y y n y x y y y o n p y x | y
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