JSCP2018 Basic/Frontier Seminar

日本認知心理学会ベーシック＆フロンティアセミナー（オンライン認知実験の可能性を探る）

Transcript

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      2018/08/31 ! $  @ #"
   
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4. 
     (Crowdsourcing) ☐ 
     
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5. ☐ s ) 0 ; w f H i Hc ▶ e ha A 0; ,; ;1 0 , f H i Hc ▶ p Tnm T I l t vo r Suk dHgP z 4 C 60;2 60 ( 0 011 60;2 & retrieved from http://www.uh.edu/engines/epi2765.htm MTurk = Mechanical Turk
6. Survey Suite —  
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    MTurk ☐ ), 40 d c d 00 (1 6 40 1 2 4 2 (1 6 40 & Ὂ a r o m Ὂ iTe s h M C • aS d ul • k P n • po T ul !69"- ' #$3 4 ?= /2) <8 ? .?,;?*(0%:>  & 1?= :> ? + 75
   
9. MTurk  ☐ 2 ▶  Ὂ k f Ὂ H a M K C ▶ 
     Ὂ iA Mnt • K u 10 7 MO Ὂ T Ὂ r m G K K • G ▶ Mo T T z Ὂ 7 M Ὂ Professional Survey Taker M
10.   
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      (Chandler & Shapiro, 2016; Paolacci & Chandler, 2014) US Europe Japan Peer et al. (2017) Lutz (2016)
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      (Chandler & Shapiro, 2016; Paolacci & Chandler, 2014) US Europe Japan Peer et al. (2017) Lutz (2016) Nishihara & Majima (unpublished) Majima, Nishiyama, Nishihara & Hata (2017); Majima (2017);
13.   — CW 
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14. 
     ☐ np ▶ Qualtrics QRTE 1 E= 2 =CB = .B;=B ) , EB CCEB ( Ὂ 12 . 1 E= U iwo j VR > I E= e ce N TQ 1 E= Wu sV l v rt j ☐ gd g ▶ m 0 5 + mh m kmh m m m ▶ e a g - + -EC CE Experiments 1: Stroop 2: Flanker 3: Switching 4: Simon 5: Posner UNIV 100 (19.8) 100 (19.8) 100 (19.8) 100 (19.9) 100 (19.8) CW 99 (37.7) 99 (38.0) 100 (38.7) 100 (37.5) 97 (38.5) Table 1. Number of participants and mean age for each experiment
15. 1: 
     #1 ☐ ▶ , Congruent Incongruent Sample Item
    
       ( = R,  = G, = B, = Y) Error bar = Standard error
16. 2: 
     #2 ☐ ▶ , Compatible Incompatible Sample Item fffff ffhff 3  
    (F or H) Error bar = Standard error
17. ☐ ▶ , , , Compatible Incompatible Sample Item ▪
     ( = S,  = K) Error bar = Standard error
18. ☐ ▶ , Sample Trial ?? 5 
    ?  = A = S 1 
    = L, 
    = K Repeat =  , Switch =  1 Error bar = Standard error
19. ☐ ▶ , , Valid Invalid Sample Item X 
    ( = F, = J) Error bar = Standard error
20.  #1 ☐  ▶ h O;Tg Ὂ ;R > i ;iR ▶ ) A = I OO ( - ( Ac Ce h OA Ὂ Pk ( ▶ a % 
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21. 
     #2 ☐ UNIV vs. CW ▶ a T We We ▶ T PC Ὂ g  Ὂ i k Ὂ
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23. 
      ☐ v ▶ S R J JT v E R Ὂ y J d a l t J J u c Ὂ p u n at J ▶ i T R Ὂ Rk r Qe s Ὂ J
24. 
     Chandler, J., & Shapiro, D. (2016). Conducting clinical research using crowdsourced convenience samples. Annual Review of Clinical Psychology, 12, 53-81. doi:10.1146/annurev-clinpsy-021815-093623 Lutz, J. (2016). The Validity of Crowdsourcing Data in Studying Anger and Aggressive Behavior. Social Psychology, 47(1), 38-51. doi:10.1027/1864-9335/a000256 Majima, Y. (2017). The Feasibility of a Japanese Crowdsourcing Service for Experimental Research in Psychology. SAGE Open. 7(1),. doi: 10.1177/2158244017698731 Majima Y, Nishiyama K, Nishihara A and Hata R (2017). Conducting Online Behavioral Research Using Crowdsourcing Services in Japan. Frontiers in Psychology. 8:378. doi: 10.3389/fpsyg.2017.00378 Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding mechanical Turk as a participant pool. Current Directions in Psychological Science, 23, 184-188. doi:10.1177/0963721414531598 Peer, E., Brandimarte, L., Samat, S., & Acquisti, A. (2017). Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology, 70, 153-163. doi:10.1016/j.jesp.2017.01.006