Research in Coherence: Pitfalls, Developments, and Suggestions
Sam Ashcroft, Lee Hulbert-Williams, Kevin Hochard & Nick Hulbert-Williams University of Chester
Research in Coherence: Pitfalls, Developments, and Suggestions Sam - - PowerPoint PPT Presentation
Research in Coherence: Pitfalls, Developments, and Suggestions Sam Ashcroft, Lee Hulbert-Williams, Kevin Hochard & Nick Hulbert-Williams University of Chester Introduction Cognitive Dissonance Theory The holding of two or more
Research in Coherence: Pitfalls, Developments, and Suggestions
Sam Ashcroft, Lee Hulbert-Williams, Kevin Hochard & Nick Hulbert-Williams University of Chester
“The holding of two or more inconsistent cognitions arouses the state of cognitive dissonance, which is experienced as uncomfortable tension. This tension has drive-like properties and must be reduced.“
Cognitive Dissonance Theory
“coherence or sense-making appears to function as a powerful reinforcer for relational activity”
Relational Frame Theory
“…once established, coherence and sense-making will serve as a continuously available reinforcer for derived relational responding”
Relational Frame Theory
Nodes/Stimuli Directly Trained ‘Equals’ Relationships
A B C
Combinatorial Entailment
Nodes/Stimuli Directly Trained ‘Unidirectional’ Relationships
A B C
Combinatorial Entailment
Nodes/Stimuli Directly Trained ‘Unidirectional’ Relationships
A B C
Ambiguous Relationship
Quinones and Hayes (2014)
On ambiguous A-C test trials, participants responded systematically as though A>C or A<C
Directly Trained ‘Unidirectional’ Relationships
A B C
Quinones and Hayes (2014)
On ambiguous A-C test trials, participants responded systematically as though A>C or A<C
Directly Trained ‘Unidirectional’ Relationships
A B C
Why run a study?
Quinones and Hayes (2014)
Stimulus A Stimulus B
Stimulus A Stimulus B
The networks trained
Three Coherent: A>B>C Three ‘Ambiguous A-C’: A>B<C
Block - Stages - Trials -
Training Stage Test Stage
Experiment-
The participants for Study One
N = 80 65 Females Aged 18 to 58 (M=21.71, SD=5.55)
Cutoff
48 is the max score
Close to 24 means strong, consistent A>C or A<C responding
Variable Ambiguous Mean (Standard Deviation) Coherent Mean (Standard Deviation) p Generalized Eta Squared
Reaction times
1.29 (0.25) 1.15 (0.25) 5.99e-07* 0.383 Affect
0.27 (1.05) .0007* 0.200 Arousal 4.01 (1.83) 4.03 (1.64) .886 0.0004 Sense-Making 4.82 (1.61) 6.41 (1.65) 3.023-e08* 0.448
Small, medium and large GES would be 0.02, 0.13 and 0.26 resp spective vely y (Bake keman, 2005, p , 2005, p383) 383).
Relationship trained Screens Discriminative Stimuli Correct A>B Bigger A B Bigger A, B A Smaller A B Smaller A, B B B>C Bigger B C Bigger B, C B Smaller B C Smaller B, C C
Design seems sound
Stimulus Times on Screen (OS) Times Correct (C) Reinforcement Ratio (OS / C) A 2 1 50% B 4 2 50% C 2 1 50% And yet, there is an alternative hypothesis…
But remember
This is only an issue for coherent A>B>C networks This means that on coherent A>B>C networks, the ‘combinatorial entailment’ effect may actually be simple ‘pairing’ of stimuli and discriminatives Then I realised that this issue isn’t only inherent in my design, but in that of Quinones and Hayes (2014) and any other study using a unidirectional A>B>C format
End stimuli are the issue
Let’s add the circles and see… Remember, this is theoretical (but still important!).
Stimulus Times on Screen (OS) Times Correct (C) Reinforcement Ratio (OS / C) Paired with Discriminative X 2 1 50% Bigger A 4 2 50% Smaller, Bigger B 4 2 50% Smaller, Bigger C 4 2 50% Smaller, Bigger Y 2 1 50% Smaller
Stimulus A Stimulus B
Second Experiment
Block - Stages - Trials -
Training Stage Test Stage
Experiment-
The participants for Study Two
N = 75 59 Females Aged 18 to 45 (M=20.83, SD=4.39)
Five nodes, and ONE discriminative
Having five nodes and two discriminatives is near impossible to learn So, I dropped to one discriminative (i.e.“Bigger” is always the relationship) All the tables and ratios and ‘pairing circles’ are completely balanced This did something important which I will talk about if there is time
Close to 4 means strong, consistent A>C or A<C responding
Why do participants now not ‘make their own coherence’?
Experiment One A C Smaller Bigger Experiment Two A C Bigger Y Q
Cutoff
Max score is 8
Variable Ambiguous Mean (SD) Coherent Mean (SD) p GES Reaction Time 1.47 (0.54) 1.42 (0.47) .283 0.030 Affect
.418 0.017 Arousal 3.61 (1.84) 3.77 (1.52) .310 0.027 Sense-Making 3.84 (1.88) 3.92 (1.61) .527 0.011
3 Stimulus 5 Stimulus p GES p GES Reaction Time A-C Trials 5.99e-07*, 0.383 .283 0.030 Affect .0007*, 0.200 .418 0.017 Arousal .886, 0.0004 .310 0.027 Sense-Making 3.023-e08*, 0.448 .527 0.011
Ambiguous A-C Test Trials 3 Stimulus 5 Stimulus Strong A>C or A<C responding Weak A>C or A<C responding Coherent A-C Test Trials 3 Stimulus 5 Stimulus High correctness (ceiling?) Reasonable correctness
Confidence is through the roof?
Take home messages
Be wary of results from unidirectional A>B>C experiments, they may be inflated Five-stimulus X>A>B>C>Y networks resolve the inherent issue with A>B>C network designs Using one discriminative, and/or distractor stimuli in test stages seems to prevent artificial creation of ‘coherence’
Other Research within my PhD
Physiological measures for A-C trials may be sensitive enough to assess differences on block types (near complete) Add feedback to the test stage so that you can further manipulate coherence / ambiguity / incoherence (complete) Ask participants to choose block types to do again, assessing appetitiveness (complete) Future: real stimuli, vignettes
w: www.cbslab.uk | http://www.chester.ac.uk/psychology/cruph
For further information
Sam Ashcroft, PhD Student, Graduate Teaching Assistant
e: s.ashcroft@chester.ac.uk LinkedIn: www.linkedin.com/in/samashcroft
Please come and speak with me about any thoughts and feedback! That’s why I’m here!
GitHub Code: https://github.com/S-Ashcroft