The psychopathology of everyday art: a quantitative Study - World ...

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Results Interaction effects: The mean age of the staff was only slightly lower than that of the other groups but there was a clear predominance of males in the sample (see table 1). Only one variable, Space, was found to be influenced by Sex. Space was initially identified as a variable which distinguished between groups, but there was an interaction effect with Sex. When co-varied (2-way ANOVA F=0.89, df=4, P=0.47) neither variable turned out to be significant by itself. No other variable was influenced by sex. Paintings: Table 3 identifies differentiating variables in bold type, using the Duncan procedure; significant ANOVA results are indicated. Table 3: Multiple ranges: group means significantly different at 0.05% level. Dncan Procedure. Groups Affective Disorder n = 9 Non-Affective Psychosis n = 10 238 Brain Injury n = 11 Drug Abuse n = 9 Controls n = 11 VARIABLE mean SD mean SD mean SD mean SD mean SD Red Purple Green Blue Brown White Black Space Em tone Yellow + Orange + Intensity + Line + .24 .17 .08 .11 .34 .22 .37 .25 .20 .19 .08 .11 .60 .27 7.71 1.79 1.83 .22 .14 .11 .13* .14 1.92 .53 1.38 .50 .42 .19 .05 .11 .28 .20 .28 .19 .16 .14 .05 .09 .45 .27 5.81 2.65 1.95 .26 .18 .15 .04* .07 1.99 .40 1.73 .28 .22 .17 .13 .23 .23 .19 .34 .26 .13 .23 .10 .13 .40 .28 5.84 2.85 2.04 .13 .12* .15 .04* .06 1.96 .46 1.13* .70 .25 .16 .14 .18 .27 .24 .31 .17 .33 .18 .12 .09 .44 .23 7.42 1.92 1.83 .20 .29 .16 .37 .13 2.00 .48 1.56 .37 .42 .33 .05 .11 .32 .27 .44 .16 .14 .17 .11 .21 .50 .32 7.90 1.74 1.90 .39 38* .33 .07* .09 2.50 .36 1.99* .72 df = 4. + Variables identified by ANOVA as Significantly differentiating groups at the 5% level: yellow (p
orange. Brain Injury were the next most distinguishable type, and there was least difference between non-affective psychosis and affective disorders. Discussion Much of the first study was done on an exploratory basis and some procedures could have been better controlled. The group containing mostly patients with brain injury and also the affective disorder group made a small number of paintings on coloured paper, which may have influenced the choice of colours. However, this effect was minimised through averaging between paintings for each patient. The paintings were rated from the obvious 'right way up' and from the identification procedure which marks the back right hand corner of the work, but orientation of the paper to landscape/portrait might have had distortion effects on composition, thus influencing the space score, especially with the brain injury group. Better control would have been achieved by specifying particular orientation of the paper. Few dimensions from previous studies actually compared with the variables of this study. However, the meta-analysis of the literature, supported by the qualitative analysis, showed significant differences in ratings of form variables relating to patient status and between patient groups. The results of this study were consistent with these findings, although not with the conclusions and 'common knowledge' implied in the literature, especially for depressed patients: their use of black was similar to that of other patients, but they did use more orange than psychotics, normal controls and brain injured patients; their paintings did not seem more negative than those of other patients. There 239
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The psychopathology of everyday art
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Table of Contents Page Number Chapt
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List of Illustrations, Figures and
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quality. 113 Table 5: Reliability s
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Table, boxplot and spreadplot 1e (b
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Table 19: Correlation for DAPA vari
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Acknowledgements, thanks and forewo
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concludes on the effectiveness of t
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or drawing progresses, relationship
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The link between genius as a produc
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again by a multidisciplinary team w
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theoretical foundation relating art
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the content of which was seemingly
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approach. Some of the major critici
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Gestalt Analysis Rudolph Arnheim ha
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molar level and not by individual e
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Attempts to lists characteristics o
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tests are still popular in assessme
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investigation of artwork, but few h
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expressions of a disordered psyche.
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own paintings, or on interpretation
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pointing to integrative or global j
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Chapter Two: Review of the recent l
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etrieved from the Psychlit, which p
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a major proportion of the study mat
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psychopathology, something which is
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3 13 5 5 5 1 3 2 10 0 0 2 11 0 0 3
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social/developmental energy theorie
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advanced from all types of papers b
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Art therapists begin their career f
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talent and therefore do not fit in
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2. Research studies There were two
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Method of study or description of t
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olds and only 2 with over 60s. The
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form of this expression and how it
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Content: 16 studies reported change
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Pictures by bipolar depressives sho
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This section does not deal strictly
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correlation of art elements with de
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of form 154 . The formal elements w
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ecognise and work through the situa
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Conclusion The use of art was not i
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Thematic interpretation varied with
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(2) to find out how the art relates
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There were 7 demographic variables:
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No. 1 judges 2 3 4 60 No. 2 Study 3
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satisfactory classification as it i
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or non-art tests which were not see
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favoured (12% n=6) over post measur
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procedures, or publishing bias, sin
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Table 8b. Analysis of variance perf
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spread between subjective and objec
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are linked to those artistic charac
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3 Demographic variables were used f
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Table 2. Diagnostic groups for 70 s
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However, there were few tests which
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include recognisable or identifiabl
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and emotional indicators in drawing
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The DDS (1988) study was an explora
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which were not significant - and I
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eliability studies or studies which
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Thematic variables Table 1: reliabi
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etween grades of the same diagnosis
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personally expressive images than '
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to trees (52); size of figure (75);
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Table 4: reliability statistics and
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Line Table 5: reliability statistic
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Purpose or use of line contained on
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Shape variables (study no.) (o) obj
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Colour Table 7: reliability statist
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number of colours. Furthermore with
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subcategories were congruous and al
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(35, 46, 36, 38, 33); and indicator
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Summary: There are unresolved defin
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Summary: The effect which distingui
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Summary: Striking variation in glob
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Reliability: Perseveration is a non
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(including schizophrenics) against
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The studies are difficult to sum up
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indicate greater agreement (even th
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Two weaknesses lie in the simple ca
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of drawing areas and to quantify wh
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Is Meta Analysis appropriate for th
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techniques which compensate for unr
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drawing evaluation with comments fr
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There are few answers to this criti
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attention to overall effect sizes t
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The 'File Drawer Problem' (refer ba
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Table 2. All variables for 11 studi
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Less than a third of the drawing ar
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Case study and controlled research
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potential for psychiatric populatio
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only are discussed (indicators whic
Page 188 and 189: specific areas of positivity could
Page 190 and 191: Rating Guide (Hacking & Foreman 199
Page 192 and 193: Table 2: Summary table of expected
Page 194 and 195: Previous methods of assessing atomi
Page 196 and 197: cases as to whether informed consen
Page 198 and 199: It was decided to use a large mixed
Page 200 and 201: paintings was not reliable enough t
Page 202 and 203: computed on any of these levels. Gr
Page 204 and 205: The DAPA (Descriptive Assessment fo
Page 206 and 207: The extremes of the distribution fo
Page 208 and 209: The difficulty with using t-tests i
Page 210 and 211: addition it leaves out other variab
Page 212 and 213: nebulous for reasonable conclusions
Page 214 and 215: identified were included in the stu
Page 216 and 217: DISCUSSION • The validity of the
Page 218 and 219: and the test used terminology which
Page 220 and 221: How the data were structured Althou
Page 222 and 223: How well does the method agree? Tab
Page 224 and 225: - 76% - of the scales were rated wi
Page 226 and 227: Green Blue Brown White Black Intens
Page 228 and 229: All of the scales were understood b
Page 230 and 231: Table 1: Demographics for experimen
Page 232 and 233: classify, even as in and out patien
Page 234 and 235: score for each subject was a ratio
Page 236 and 237: each participant received the same
Page 240 and 241: was no evidence of impoverishment f
Page 242 and 243: Chapter 5. Results This chapter pre
Page 244 and 245: appendix 2) and these were left in
Page 246 and 247: fairly small, less than 0.1, indica
Page 248 and 249: Red, Green, Black, Drawn Line, Emot
Page 250 and 251: 1. Neither schizophrenics nor depre
Page 252 and 253: schizophrenia was indistinguishable
Page 254 and 255: Black: Black is the darkest colour
Page 256 and 257: the other groups since no confidenc
Page 258 and 259: Drawn line: The normal distribution
Page 260 and 261: proportions of empty space in the p
Page 262 and 263: 1. Depressives showed significantly
Page 264 and 265: function contributed significantly
Page 266 and 267: the discriminant analysis. It will
Page 268 and 269: Subordinate Analyses Interaction ef
Page 270 and 271: Table 15: showing correlations betw
Page 272 and 273: 2. Intensity showed a correlation o
Page 274 and 275: quality and reliability of their me
Page 276 and 277: as being unreliable, would be metho
Page 278 and 279: There would be a correlation betwee
Page 280 and 281: Figures 3. Map of Associations betw
Page 282 and 283: Schizophrenic pictures showed corre
Page 284 and 285: The DAPA results for depression are
Page 286 and 287: abusers 308 , but not the schizophr
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Control pictures showed the only as
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yellow Structural variables Figures
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directly, to answer this question.
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yellow and green, its removal would
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Schizophrenics used little colour e
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directly to the environment; assess
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influence on apparent negativity. W
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ather than for schizophrenia 335 .
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Supporting this point, the focus ar
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Several kinds of difficulties were
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portraiture, so it is difficult to
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1, as generally the scores for schi
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numbers resulted in differentiation
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at or above the usual level. Person
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size (_=0.36) which contrasts wildl
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sets had all the identified high ef
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hospital; the mean of up to 10 pain
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eliability of the test and shows th
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Chapter 7. Conclusion This thesis r
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probably because the form variables
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etween different groups of patients
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previously unexplored, which comple
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statistical tests and missing data
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psychopathology in clinical diagnos
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6 scales to categorise commonalitie
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Orientation of the researcher, what
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Validity Analysis of controlled stu
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_ 2 _ _ _ _ 2 _ .3_ 1 1 _ B _ 2 1 2
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6j. Standard differences from mean
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Correlation table 16 for DAPA varia
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eliefs to depression. cannot be mat
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Table 4: summarising changes or sig
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Table 6: summarising changes or sig
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13 22y. male Violence and substance
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Crosstabulations 1-6: contingency t
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Crosstabulation 3: ORIENTATION By B
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Crosstabulation 5: FORM OF EXPRESSI
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Reliability Study Chapter 4 - Metho
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Raters R1-7 score for ORANGE, pics
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-4_ _ R-A _________________________
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e _ _ -4_ _ R-A ___________________
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c _ _ e _ _ -4_ _ R-A _____________
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Appendix 3 Table of Authorities 1.
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connection from victim to victimize
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Hodnett, M.L. (1973), A broader vie
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Muller-Braunschweig, H. (1975), Psy
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Siegel, L. (1988), The use of mural
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Psycho-Analysis , V.6(2):183-200. 3
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10 Fagin, I. (1983), Images of grow
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Institute Creative Arts Therapy Rev
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psychotics, Perceptual and Motor Sk
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Appendix 4 Development of the Descr
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D.A.P.A. DESCRIPTIVE ASSESSMENT OF
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INTENSITY DEFINITION: Firstly, the
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SPACE >10% >25% >55% >80% >100% DEF
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Part 2 Rating Sheet for DAPA: Hacki
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Rating Sheet for Casenotes DAPA ver
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D.A.P.A. DESCRIPTIVE ASSESSMENT OF
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Intensity DEFINITION: The brightnes
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Form sheet for Artists. Side 2. DAP
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Appendix 5 Permission for study, in
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North Staffordshire Health Authorit
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Psychiatry Dept., School P.G. Medic
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Bibliography 418
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Psychiatry, 152(suppl.1): 33-57. Ca
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V.11: 139-143. Kaplan, F.F. (1996),
Page 424 and 425:
Reuven, S.K. (1998), Reversal of a
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Blackwell. Arrington, D. (1992), Ar
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MacGregor, J.D. (1989), The Discove
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Research (ICD-10 DCR), Geneva: Auth
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