Identification of the expressions of self-awareness in children with PIMD
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1 Identification of the expressions of self-awareness in children with PIMD 8th Roundtable SIRG-PIMD, Fribourg, 30th of August 2017 Juliane Dind, PhD. Département de pédagogie spécialisée, Université de Fribourg (CH) Supervisor: Pr. Dr. Geneviève Petitpierre 1 Content of my presentation Theoretical framework (reminder) Method (reminder) Results Discussion 2 1
2 Theoretical framework Primary SA (0-18 monthes) Zelazo, 2004; Morin, 2006; Rochat, 2012 Superior SA Gallagher, 2011; Newen&Vogeley, 2003 SA development Primary SA perceptive immediate experience Superior SA conceptual meta-experience 3 Rochat s multidimensional model of ecological selfawareness (ESA) (Rochat, 1993, 2000,2006, 2012;) ESA manifests itself in the experience of one s body as a differentiated, organized, active, situated and animated entity Differentiated self Animated self Organized self Ecological self Situated self Active self 4 2
3 Saulus psychodevelopmental model on self-awareness and PIMD (Saulus, 2009, 2011, 2013) Profile I Elementary consciousness PIMD Profile II Proto-self-awareness Profile III Non-reflexive selfawareness/ ESA 5 Aim of my research: Empiric validation of both theoretical models 6 3
4 Research questions Ø How does ecological self-awareness (ESA) manifest itself in children with PIMD? Ø Does the study of ESA indicators allow to differentiate subgroups inside the PIMD main group? ØWhat distinguishes these subgroups? Ø How are distributed ESA indicators in each subgroup? 7 Method Evaluation tools in PIMD research Indirect evaluation tools Interviews Surveys Parents, DSPS, Direct evaluation tools Physiological measurment Developmental psychology paradigm Situation-based list People with PIMD 8 4
5 Method Creation of a situation-based list on ESA Ecological self Content Inducing situations (N= 35) Natural observation situations (N=25) «Standardized» tasks Daily-life in the classroom Data collected by the researcher Data collected by the professionnals 9 Scoring protocol Three-level score 0= Expression of non critical behaviour 1= Doubt about the manifestation of the critical behaviour * 2= Expression of the critical behaviour *( too fast? coincidence?) this score is described and specified in each item Un sous-total par dimension est calculé en additionnant les Three measurments/item (T1, T2, T3) Mean score/dimension 10 5
6 Psychometric qualities of the inducing-situations list Value Internalconsistency Cronbach alpha=.897 Inter-coder agreement 81% Intra-coder agreement 88% Test-retest reliability ICC=.950 Proceduralreliability 95% Convergent validity ρ=.695,p=.001 Social validity* Tool validity Method validity Participation benefit 88% 88% 83% * DSP s appreciation 11 Procedure June 2014: Agreement of the Ethics Committee on human research in Lausanne Pre-experimental stage N= 6 Experimental stage N= 20 Test and adaptation of the situation-based list Test and adaptation of the indicators (critical behaviors) Administration of the situation based-list Interobserver training Confrontation with 3 experts of PIMD based on videotapes 12 6
7 Sample Common inclusion criteria for the two stages PIMD- spectrum (Nakken, 2007) Specific criteria: profound mental disabilities profound neuromotor dysfunctions frequent sensory impairments Pre-experimentalstage Experimental stage Age 4-18 years old 4-12 years old Selection Profile selection* (Saulus model) Number 6 21 Exp. mortality 1 3 NTotal 5 18 No profile selection** * In order to maximize the heterogeneity: 2 profile I, 2 profile II, 2 profile III ** It is not a convenience sample 13 RESULTS 14 7
8 ØRQ1: How does ecological selfawareness (ESA) manifest itself in children with PIMD? 15 Mean score in each dimension of ESA: 1.8 Mean score whole sample Differentiated s elf Organized self Active s elf Situated self Animated s elf 16 8
9 % of expression of ESA indicators Differentiated self: 6-50% Animated self: 40-80% Organized self: 30-90% Ecological self Situated self: 25-90% Active self: 22-80% 17 RQ2: Does the study of ESA indicators allow to differentiate subgroups inside the PIMD main group? 18 9
10 Cluster Analysis Subgroups Members «Cluster 1» N=1 Cluster 2 N = 7 Cluster 3 N = 10 Effect on cluster membership: X age X gender X facility ü Profile of PIMD 19 RQ3: What distinguishes these subgroups? 20 10
11 Intercluster comparison Central tendency Differentiated s elf organized self active self situated self animated self Participant 1 Clus ter 2 Clus ter 3 21 T Tes t Independant samples T Test One sample T Test Cluster 3-> cluster 2 Cluster 3 ->participant 1 Differentiated self t(15)= -5.6, p<.05 95% CI [.73 à 1.24 ], t (9)=8.74, p<.05 Organized self t(15)= -1.33, p=.21 95% CI [1.2 à 1.56], t (9)=17.39, p<.05 Active self t(15)= -5.48, p<.05 95% CI [.88 à 1.24], t (9)=13.44, p<.05 Situated self t(15)= -4.62, p<.05 95% CI [1.46 à 1.55 ], t (9)=37.48, p<.05 Animated self t(15)= -3.38, p=.04 95% CI [.4 à.73 ], t (9)=7.65, p<.05 Cluster 2 -> participant 1 95% CI [0.09 à 0.30 ], t (6)=4.56, p= % CI [1.04 à 1.43], t (6)=4.56, p= % CI [.02 à.6], t (6)=2.26, p= % CI [.67 à 1.32 ], t (6)=7.44, p<.05 95% CI [-.35 à.41], t (6)=.20, p=.843 Statistically significant differences between means: Cluster 3 > cluster 2 (except «organized self») Cluster 3 > participant 1 Cluster 2> participant 1 (except «active» + «animated» self) 22 11
12 Intensity index Global level Participant 1 cluster 2 cluster 3 Score "0" Score "1" Score "2" 23 Summary What distinguishes subgroups is: Global level of performance Level of complexity of participant s behaviours 24 12
13 RQ3: How are distributed S-A scores in each subgroup? 25 Intracluster comparison Cluster 2: global level Dispersion Scores standardisés Participants 26 13
14 Cluster 3 Cluster 3: global level Dispersion Summary Inside each cluster, S-A scores are distributed in a nonhomogenous way Global scores level Dimension scores level Intensity index score 28 14
15 Discussion Validation of Rochat multidimensional model Differentiate dself Animated self Ecological self Organized self Situated self Active self 29 Developmental logic: example in «active self» dimension Shake a rattle Press the Break the tower Throw the ball Get a hidden Draw on the Open a drawer button object string N= 15 Part.1 % Cluster 2 % Cluster 3 N=
16 Validation of Saulus psychodevelopmental model Participant 1 // Profile I no self-recognition sensorial inputs not treated no action towards objects Elementary consciousness PIMD Cluster2 // Profile II no self-recognition but interest in one s image emergence of stimuli localization manipulation/exploration of objects but no contingency awareness Proto SA Cluster 3 // Profile III emergence of selfrecognition organized and situated sensorial treatment means-end skills in emergence body selfexploration/pleasure Non-reflexive SA 31 Limits -> Exploitation of the data gathered with a new tool, not yet validated -> Sample size/representativity -> Incompleteness of data 32 16
17 Strengths ->Building of the situation-based list -> Coding process -> Correspondence between my results and both theoretical models -> Subgroups identification inside the main group 33 Implications -> Development of direct observation tools -> Importance of the assessment of self-awareness skills in children with PIMD -> Importance of the distinction of different profiles of PIMD 34 17
18 Further researches? -> SA in a «life-span» perspective? -> assessment of the effects of an intervention on SA skills? -> assessment of interpersonal SA skills of children with PIMD, linked to the ESA skills? -> comparison between SA skills of children with PIMD and children with anancephaly? 35! 36 18
19 Bibliography Butterworth, G. (2000). An Ecological Perspective on the Self and its Development. In D. Zahavi (Ed.), Exploring the Self. Philosophical and psychopathological perspectives on self-experience (pp ). Amsterdam/Philadelphia: John Benjamins Publishing Company. Gallagher, S. (2011). The Oxford Handbook of the Self. New York, United States of America: Oxford University Press. Gibson, E. (2000). Perceptual learning in development: Some basic concepts. Ecological Psychology, Retrieved from Morin, A. (2006). Levels of consciousness and self-awareness: A comparison and integration of various neurocognitive views. Consciousness and Cognition, 15(2), doi: /j.concog Neisser, U. (1995). Criteria for an Ecological Self. In P. Rochat (Ed.), The Self in Infancy. Theory and Research (pp ). Amsterdam: Elsevier Science B.V. Newen, A., & Vogeley, K. (2003). Self-representation: Searching for a neural signature of self-consciousness. Consciousness and Cognition, 12(4), doi: /s (03) Rochat, P. (1995). Early Objectification of the Self. In P. Rochat (Ed.), The Self in Infancy. Theory and Research (pp ). Amsterdam: Elsevier Science B.V. Rochat, P. (2010). Sens de soi et sens de l Autre au début de la vie. In A. Berthoz & B. Andrieu (Eds.), Le corps en Acte (pp ). Nancy: Presses Universitaires de Nancy. Rochat, P. (2011). What is like to be a newborn? In S. Gallagher (Ed.), The Oxford Handboo of the self (pp ). New York, United States of America: Oxford University Press. Rochat, P. (2012). Primordial sens of embodied self-unity. In V. Slaughter & C. A. Brownell (Eds.), Early Development of Body Representations (pp. 3 18). Cambridge, MA: Cambridge University Press. Saulus, G. (2009). Le concept d éprouvé d'existence. Contribution à une meilleure lecture des particularités psychodéveloppementales du polyhandicap. In S. Korff- Sausse (Ed.), La vie psychique des personnes handicapées. Ce qu elles ont à dire, ce que nous avons à entendre (pp ). Toulouse: Editions Eres. Saulus, G. (2011). Eprouvé d existence et expérience du moi dans le polyhandicap, l'autisme et la psychose infantiles. In P. Ancet & Noël-Jean Mazen (Eds.), Ethique et handicap (pp ). Bordeaux: Les Etudes Hospitalières. Saulus, G. (2013). L activité cognitive chez le sujet très sévèrement polyhandicapé. In S. Régine & G. Petitpierre (Eds.), Polyhandicap: processus d évaluation cognitive (pp. 9 34). Paris: Dunod. Zelazo, P. D. (2004). The development of conscious control in childhood. Trends in Cognitive Sciences, 8(1), doi: /j.tics
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