Literature DB >> 27928247

The Comparison of Iranian Normative Reference Data with Five Countries ‎Across Variables in Eight Rorschach Comprehensive System (CS) Clusters.

Abufazel Hosseininasab1, Mohammadreza Mohammadi2, Samira Jouzi3, Maryam Esmaeilinasab4, Ali Delavar2.   

Abstract

Objective: This study aimed to provide a normative study documenting how 114 five-seven year-old non-‎patient Iranian children respond to the Rorschach test. We compared this especial sample to ‎international normative reference values for the Comprehensive System (CS).‎ Method: One hundred fourteen 5- 7- year-old non-patient Iranian children were recruited from public ‎schools. Using five child and adolescent samples from five countries, we compared Iranian ‎Normative Reference Data- based on reference means and standard deviations for each sample.‎
Results: Findings revealed that how the scores in each sample were distributed and how the samples were ‎compared across variables in eight Rorschach Comprehensive System (CS) clusters. We reported ‎all descriptive statistics such as reference mean and standard deviation for all variables.‎
Conclusion: Iranian clinicians could rely on country specific or "local norms" when assessing children. We ‎discourage Iranian clinicians to use many CS scores to make nomothetic, score-based inferences ‎about psychopathology in children and adolescents.‎.

Entities:  

Keywords:  Comprehensive System; Iranian Normative Data; Rorschach Test

Year:  2016        PMID: 27928247      PMCID: PMC5139950     

Source DB:  PubMed          Journal:  Iran J Psychiatry        ISSN: 1735-4587


Establishing accurate normative data for the Rorschach (1) Comprehensive System method (CS; ‎‎2) is crucial to its use in clinical practice. As with other tests, Rorschach interpretation rests on (a) ‎quantitative, nomothetic normative comparisons, and (b) qualitative idiographic, individualized ‎inferences. Thus, evaluating deviations from normative expectations is a central component in ‎quantitative interpretation.‎ However, the adequacy of the CS adult and child reference values (2) has been discussed and ‎debated in the literature over the past decade, both with respect to samples from the U.S. (e.g., 3; ‎‎4; 5) and other countries (e.g., 6; 7; 8; 9; 10). The available CS norms for children and ‎adolescents were first published in 1982 (11). At the time, the authors questioned how ‎representative their samples were, cautioning users that as a result of likely self- and parent-‎selection biases they were probably too healthy and well-functioning to generalize to typical ‎participants. Therefore, it is of prime importance to identify what more recently collected samples ‎look like when plotted on the Adult Composite International Norms.‎ A study that sparked concern about the standard CS reference values was Shaffer et al.’s (1999) ‎sample of 123 adults from Fresno, California (4). These participants were tested by graduate ‎students, that Weiner (2001) questioned as a suitable level of training and experience to serve as ‎a reference sample (12). Nonetheless, because both the Fresno sample and the traditional CS ‎norms were obtained from non-patients in the U.S., any disparities between them were notable. ‎In particular, Shaffer et al. Reported many shorter and more simplistic records than the existing ‎CS norms. For instance, their sample had a mean R = 20.8 (versus 23.5 in the CS norms) and a ‎mean Lambda = 1.22 (vs. 0.58), with 41% of their sample classified as having an avoidant style ‎‎ (i.e., Lambda > 0.99; vs. 14%).‎ Wood et al. (2001a, 2001b) showed that a number of non-patient samples from the literature ‎produced notably different mean values from the CS norms (CS 600), with effect sizes ranging ‎from small to very large. Form quality (FQ)-related (i.e., XQ%, X–%) and color-related variables ‎‎(i.e., Afr, FC, WSumC), as well as popular (P), whole, realistic human content (Pure H), diffuse ‎shading (Y), and reflection (Fr, rF) responses were the most problematic variables (5). Other ‎empirical evidence also showed that the distributions for form quality (FQ) and number of ‎responses (R) might diverge from the CS normative expectations in non-patient samples (11). ‎ Meyer et al. (2007) presented descriptive data from 4,704 Rorschach records from non-patient ‎samples from Argentina, Australia, Belgium, Brazil, Denmark, Finland, France, Greece, Israel, ‎Israel, Italy, Japan, Peru, Portugal, Romania, Spain, the Netherlands, and the United States (13). ‎The mean age of the entire, combined sample was 36.65 (SD = 11.71). Years of education, ‎gender, and race were not reported. Analyses of these international data revealed that both the ‎CS 450 collected by Exner and Erdberg (2005) and the CS 600 collected by Exner (2001) ‎diverged from most of the other samples for a large proportion of the variables (14) (15). ‎Applying CS 600 interpretive routines to all these samples may result in pathologized ‎interpretation of these non-patients. Viglione and Meyer (2008) summarized the recurring main ‎differences between the CS 600 and other samples and reported that other samples frequently ‎produced more unusual location responses, inferior form quality, fewer elaborated, positive ‎human representations, less color, and fewer texture responses (16). To provide the Iranian ‎Rorschach users with more representative normative benchmarks and to reduce the risk of overly ‎pathological interpretations, we presented an Iranian normative reference sample. In this study, ‎we extended the previous analyses in several ways. First, we reported data collected for 5 to 7 ‎year- old Iranian children. Second, we utilized international normative reference values for the ‎CS for children and adolescents (2). Third, and most important, we focused on the extent to ‎which international normative reference values for the CS correspond to Iranian sample.‎‎

Materials and Method

The sample for this study consisted of 114 non-patient Iranian children aged 5 -7 who were ‎recruited from public schools. Recruitment began with identifying an area of Tehran that has ‎numerous schools and is demographically representative of its population. Within this area, 15 ‎public schools and five kindergartens were randomly selected. The principals of the schools sent ‎a letter to the parents in which they described the purpose of the study–to collect normative ‎reference data on a psychological test–and asked them to sign and return the letter if they agreed ‎to have their children participate in the study. Before sending the letters, the principals reviewed ‎their school records and removed from the list any students who had been identified as having ‎psychological problems. Similarly, the parents were asked not to sign and return the letter of ‎agreement if their child had been diagnosed with or treated for any psychological disorder within ‎the last two years or had undergone psychological testing within the past year. Approximately ‎‎90% of the parents signed the letter. Children’s participation in the study was voluntary and ‎required their consent as well as their parents’ approval. The final sample of 114 participant's ‎included 49 (43%) boys and 65 (57%) girls.‎ The Rorschach data were collected by 15 examiners; all of whom were graduate students of the ‎Allameh Tabatabaei University, who have completed an assessment course that included ‎instruction in the administration, coding and interpretation of the Rorschach; and they were ‎currently enrolled in a two-year Rorschach research practicum co-mentored by the second author. ‎All of the examinations were conducted in Farsi in the counseling rooms of the students’ school, ‎following a brief warm-up and the completion of a short semi-structured interview. The ‎Rorschach administration was conducted according to Exner’s (2003) Comprehensive System ‎instructions, including his procedures for obtaining at least 14 responses and avoiding excessively ‎long protocols (2).‎ In 2007, a supplemental issue of the Journal of Personality Assessment was devoted to ‎international normative data for Rorschach Comprehensive System. In this special issue, a ‎number of investigators collected 39 samples from 17 countries (18). These international ‎reference data included samples of children and adolescents from Denmark (19), Italy (20), ‎Japan (21) Portugal (22) and United States (CS; 2). Subsequent publications have presented ‎Rorschach reference data on samples of non-patient children in Brazil (23) and adolescents in ‎Israel (24). The samples differed in their quality (e.g., examiner training, scoring reliability, and ‎checks on administration quality); however, motivated and trained individuals seeking to ‎advance the database of Rorschach assessment collected all the data. ‎ To compare normative reference values for the CS, we used the Four Children Samples published ‎in special issue of the Journal of Personality Assessment in 2007 (JPA, 89, Suppl.1). Countries ‎that reported normative data were Italy (20), Japan (21), Portugal (22), Brazil (23) and traditional ‎CS reference data (2).‎

Results

Table 1 demonstrates descriptive statistics for each Rorschach variable. Using the descriptive ‎data in Table 1, we reported all descriptive statistics such as reference mean and standard ‎deviation for all variables.
Table1

Descriptive Statistics for Non-Patient Iranian Children Aged 5-7 (N = 114) a

5-6-7 years (N = 114)
Variable Mean SD Min Max Freq Median Mode SK KU
R21.605.3314.0036.0011420170.71-0.09
W7.124.081.0023.00114641.021.16
D11.255.880.0025.0011211150.15-0.61
Dd3.182.410.0018.00103322.2211.32
S1.091.310.006.0064101.964.50
DQ+2.182.480.0010.0077101.230.72
DQo16.375.845.0033.0011415.5120.670.11
DQv+/0.100.350.002.009003.9215.89
DQv2.942.320.0011.0098330.900.78
FQx+0.200.920.008.009006.4448.12
FQxo7.282.912.0017.00114760.570.53
FQxu7.093.431.0019.00114660.750.77
FQx-5.953.320.0018.00113640.700.65
FQxNone1.061.720.007.0046001.812.54
MQ+0.140.820.008.006008.1573.72
MQo0.490.840.004.0037001.913.49
MQu0.390.670.003.0035001.803.16
MQ-0.310.700.004.0025002.818.99
MQNone0.050.260.002.005005.4732.44
SQual-0.260.560.003.0025002.668.64
M1.381.960.0013.0067102.7010.87
FM2.362.210.0014.0090201.735.78
m1.431.580.006.0071101.170.76
FC1.081.310.006.0066101.502.19
CF0.560.740.003.0049001.170.80
C1.251.560.007.0066101.491.94
Cn0.060.350.003.004006.6747.57
SumC2.962.120.0010.00103220.850.46
WSumC3.022.420.0012.001032.52.51.201.57
FC’0.731.040.005.0051001.652.83
C’F0.270.660.003.0021002.878.29
C’0.401.170.0011.0028006.8659.54
FT0.150.450.002.0014002.968.28
TF0.090.320.002.0010003.5212.91
T0.080.410.003.006005.2929.75
FV0.100.350.002.009003.9215.89
VF0.000.000.000.00000
V0.000.000.000.00000
FY0.020.130.001.002007.4454.42
YF0.060.270.002.006004.9126.13
Y0.060.270.002.006004.9126.13
Fr0.010.090.001.0010010.67114.00
rF0.000.000.000.00000
Sum C’1.411.970.0015.0070103.4319.26
SumT0.340.640.003.0029001.892.96
SumV0.090.350.002.009003.9215.89
SumY0.140.450.003.0012003.8917.13
Sum Shading1.992.110.0015.00861.512.5011.71
Fr+rF0.010.090.001.0010010.67114.00
FD0.440.830.005.0034002.478.07
F12.505.550.0030.0011312150.470.15
PAIR6.113.550.0016.00109670.31-0.36
3r+(2)/r0.260.140.000.631100.270.140.16-0.67
Lambda2.242.680.0015.001131.3312.667.89
PureF%0.560.200.000.941130.570.50-0.24-0.38
FM+m3.772.930.0019.00103311.505.21
EA4.393.140.0019.501083.52.501.373.80
es5.653.540.0019.00108560.710.88
D Score-0.321.28-5.005.0011400-0.184.27
AdjD-0.091.12-4.005.00114000.345.69
Active (a)3.393.230.0018.0097331.764.45
Passive (p)1.721.910.008.0076101.210.83
Ma0.981.740.0012.0053003.2914.74
Mp0.390.690.003.0033001.802.78
Intellect1.121.800.0012.0055002.9512.57
Zf7.544.231.0023.00114741.292.06
Zd-1.894.81-24.008.50114-1.75-0.5-0.763.23
Blends1.792.090.009.0074101.250.75
Blends/R0.090.110.000.52740.0501.481.93
Col-Shd-Blends0.470.840.004.0036002.064.12
Afr0.490.160.121.181140.500.500.661.57
Populars2.841.540.007.00110320.38-0.44
XA%0.670.140.311.001140.670.64-0.21-0.34
WDA%0.690.140.211.001140.700.64-0.400.10
X+%0.350.140.080.781140.350.250.29-0.03
X-%0.260.130.000.631130.270.330.30-0.32
Xu%0.320.130.040.691140.320.250.11-0.05
Isolate/R0.180.170.000.76960.1401.191.31
H1.461.630.009.0080111.864.49
(H)0.961.260.006.0059101.683.16
HD1.211.720.0010.0064102.316.77
(HD)0.230.730.005.0016004.4923.15
Hx0.320.710.004.0024002.667.94
All H Cont3.872.730.0014.00108441.252.34
A8.574.100.0023.00111880.540.73
(A)0.340.680.004.0029002.578.17
Ad1.582.420.0012.00570.5002.024.30
(Ad)0.020.160.001.003005.9934.57
An0.500.900.004.0034001.973.59
Art0.611.020.005.0043002.286.06
Ay0.020.130.001.002007.4454.42
BI0.140.510.003.0010003.6613.210
Bt1.161.400.006.0063101.190.79
Cg1.241.390.006.0072101.371.79
CI0.030.220.002.003007.1554.66
Ex0.040.200.001.005004.5118.70
Food0.370.750.004.0030002.608.21
Fi0.641.100.006.0044002.417.00
Ge0.010.090.001.0010010.67114.00
Hh0.610.900.004.0045001.592.04
Ls0.691.090.005.0046001.903.34
Na0.851.240.006.0055002.054.87
Sc1.071.220.006.0069101.482.62
Sx0.010.090.001.0010010.67114.00
Xy0.020.200.002.002008.5376.01
Idiographic0.711.130.005.0044001.742.39
An+Xy0.510.910.004.0034001.913.30
DV0.530.990.006.0038002.739.43
INCOM1.141.420.009.0067102.127.46
DR0.240.690.004.0017003.4212.37
FABCOM0.280.630.004.0025003.1312.77
DV20.030.180.001.004005.1224.65
INC20.230.620.004.0018003.2612.64
DR20.030.180.001.004005.1224.65
FAB20.020.130.001.002007.4454.42
ALOG0.711.120.006.0049002.376.78
CONTAM0.060.270.002.006004.9126.13
Sum 6Sp Sc3.272.520.0015.00103321.644.61
Lvl 2 Sp Sc0.280.630.003.0022002.274.48
WSum69.748.010.0039.00104861.231.41
AB0.240.730.006.0018005.0133.53
AG0.230.670.004.0017003.4713.21
COP0.200.610.003.0015003.6213.51
CP0.020.130.001.002007.4454.42
Good HR2.201.720.0010.0095221.162.85
Poor HR2.212.300.0010.0089111.572.56
MOR0.721.450.003.0040003.2112.69
PER0.470.880.004.0036002.426.19
PSV0.420.790.003.0032001.933.03
PTI Total1.281.130.004.0076100.42-0.66
DEPI Total2.971.350.006.0010633-0.410.23
CDI Total3.291.140.005.0011234-0.660.17
SCon Total3.172.410.007.008340-0.09-1.39
HVI Total0.390.790.004.0028002.184.70
OBS Total (1-5)0.250.480.002.0025001.862.72
EII-30.420.630.002.50620.1001.792.65
HRV-0.182.81-96.009701-0.7761.66
W+D18.334.9210.0034.0011417.5140.730.16
EBPer0.491.340.006.5016003.008.86

a. The Comprehensive System codes that correspond to the variable names in the first column are as follows: Number of Responses (R); Lambda (L); Human Movement (M); Weighted Sum of Color (WSumC); Experience Actual(EA); Animal Movement (FM); Inanimate Movement (m); Nonhuman Movement (FM + m); Diffuse Shading (SumY); Texture (SumT); Vista (SumV); Achromatic Color (SumC’); Sum of Shading (SumShd); Experienced Stimulation (es); Difference Score (D Score); Adjusted Difference Scale (AdjD); Coping Style (Erlebnistypus, EB); White Space (S); Color Projection (CP); Form-Color Ratio (CF+C: FC); Pure Color (Pure C); Affective Ratio (Afr); Complexity Ratio (Blends:R); Constriction Ratio (SumC’:WSumC); Aggressive Movement (AG); Cooperative Movement (COP); Food (Fd); Personal (PER); Active:Passive Ratio (a:p or Ma:Mp); Whole, Realistic Humans (Pure H or H: (H) + Hd + (Hd)); Interpersonal Interest (SumH H+ (H)+Hd+ (Hd)); Good and Poor Human Representations (GHR and PHR); Morbid (MOR); Anatomy and X-ray (An + Xy); Reflections (Fr + rF); Form Dimension (FD); Synthesized Response (DQ+); Vague Response (DQv); Perseveration (PSV); Organizational Frequency (Zf); Processing Efficiency (Zd); Aspiration Ratio (W:M); Economy Index (W:D:Dd); Form Quality Scores: Conventional (X+%), Appropriate (WDA%), Unusual (Xu%), Distorted (X%); White Space Distortion (S); Popular (P); Human Movement With Distorted Form (M); Human Movement, Formless (Mnone); Critical Special Scores (Sum6 or WSum6); and Critical Special Scores, Severe (Level 2)

Descriptive Statistics for Non-Patient Iranian Children Aged 5-7 (N = 114) a a. The Comprehensive System codes that correspond to the variable names in the first column are as follows: Number of Responses (R); Lambda (L); Human Movement (M); Weighted Sum of Color (WSumC); Experience Actual(EA); Animal Movement (FM); Inanimate Movement (m); Nonhuman Movement (FM + m); Diffuse Shading (SumY); Texture (SumT); Vista (SumV); Achromatic Color (SumC’); Sum of Shading (SumShd); Experienced Stimulation (es); Difference Score (D Score); Adjusted Difference Scale (AdjD); Coping Style (Erlebnistypus, EB); White Space (S); Color Projection (CP); Form-Color Ratio (CF+C: FC); Pure Color (Pure C); Affective Ratio (Afr); Complexity Ratio (Blends:R); Constriction Ratio (SumC’:WSumC); Aggressive Movement (AG); Cooperative Movement (COP); Food (Fd); Personal (PER); Active:Passive Ratio (a:p or Ma:Mp); Whole, Realistic Humans (Pure H or H: (H) + Hd + (Hd)); Interpersonal Interest (SumH H+ (H)+Hd+ (Hd)); Good and Poor Human Representations (GHR and PHR); Morbid (MOR); Anatomy and X-ray (An + Xy); Reflections (Fr + rF); Form Dimension (FD); Synthesized Response (DQ+); Vague Response (DQv); Perseveration (PSV); Organizational Frequency (Zf); Processing Efficiency (Zd); Aspiration Ratio (W:M); Economy Index (W:D:Dd); Form Quality Scores: Conventional (X+%), Appropriate (WDA%), Unusual (Xu%), Distorted (X%); White Space Distortion (S); Popular (P); Human Movement With Distorted Form (M); Human Movement, Formless (Mnone); Critical Special Scores (Sum6 or WSum6); and Critical Special Scores, Severe (Level 2) Rorschach Variable Frequencies for 114 Non-patient Iranian Children and Four Country For instance, Table 1 shows that R has M = 21.60 and SD = 5.33. ‎Reference mean and standard deviation allow one to determine quickly how far a person or a ‎sample is from the expected norms and to see how typical or atypical values are for the person or ‎sample compared to the norms.‎ Table 2 displays the frequency and percentage of Rorschach variables of the 114 non-patient ‎Iranian children and international normative reference values for the CS. To facilitate cross-‎national comparisons, we presented miscellaneous variables for all samples. This table presents ‎country specific distribution for the important scores, which were not listed in Table 1 (i.e., ‎Styles, D-Scores, Form Quality, S-Constellation Positive and so on). Table 2 shows how the ‎scores are distributed within each country. Given that positive and negative deviations from the ‎mean cancel out, the most salient information in this table is the dispersion of scores.‎
Table2

Rorschach Variable Frequencies for 114 Non-patient Iranian Children and Four Country


Iran 5-7 N=114
Italy 5-7 N=75
Japan 5-6 N=24
Portugal 6-7 N=155
Brazil 7 N=50
Styles Freq % Freq % Freq % Freq % Freq %
Introversive8779007500
Pervasive Introversive5445004300
Ambitent13111317006424
Extratensive20184500128714
Pervasive Extratensive10923009636
Avoidant736451682410070454182
D-Scores
D Score > 012119121427171224
D Score = 067593749218810165918
D Score < 0353129392827172958
D score < −11513152000962244
Adj D Score > 015139121427171326
Adj D Score = 0756641552188105681122
Adj D Score < 0242125332823152652
Adj D score < −110991200642040
Zd > +3.0 (Overincorp)10919253132315714
Zd < −3.0 (Underincorp)40351824284730714
Form Quality
XA > 0.896545001100
XA < 0.70665854722410095611428
WDA% < 0.859583689124100139904182
WDA% < 0.756961526924100107693468
X+% < 0.5510592739724100139904692
Xu% > 0.209483597928113733060
X−% > 0.207566678924100133864488
X−% > 0.30413651682410085553264
FC:CF+C Ratio
FC > (CF+C)+2651115006400
FC > (CF+C)+11614182414171136
(CF+C) > FC+14035101331348311632
(CF+C) > FC+2191757002617816
S-Constellation Positive
HVI Positive001013417171100
OBS Positive0000000000
PTI = 50023000000
PTI = 4441216000024
PTI = 311101925239643281632
DEPI = 70000000000
DEPI = 63310130010600
DEPI =5872229003120612
CDI = 513111520521161036
Miscellaneous Variables
R < 1720183547125021143672
R > 271816152000382500
DQv > 2595217233136139612
S > 212113243285435714
Sum T = 08675648524100133864284
SumT > 19834007536
3r+(2)/R < 0.33756650672396110713672
3r+(2)/R > 0.441311340018123672
Fr+rF > 0111115003236
Pure C > 066584541754351734
Pure C > 134302027142617816
Afr < 0.402724415541737241326
Afr < 0.505448273683364411836
(FM+m) < Sum Shading211827360041261530
(2AB+ART+AY) > 52211002100
Populars < 478685776197998633774
Populars > 70000005300
COP = 0998764852188139904794
COP > 24411002100
AG = 0978567892188121784488
AG > 23300003200
MOR > 21092300161000
Level 2 Sp.Sc. > 02219182414211436
GHR > PHR504424322855351530
Pure H < 276675979197989573876
Pure H = 034304357145843282346
p > a+1181645142114510
Mp > Ma191710133183523612

Discussion

Based on the seven clusters proposed by Exner (2), we briefly present the key data concerning ‎normative findings to emphasize how Iranian children respond to the Rorschach: ‎ As displayed in Table 2, with respect to location, predominance of D as opposed to W is clear in ‎‎5-7- year-old Iranian children (11.25 vs. 7.12). This ratio is similar to the results from other ‎countries (Brazil: 7.70 vs. 5.18; Italy: 8.01 vs. 7.01; Japan: 7.17 vs. 6.88; and Portugal: 10.84 vs. ‎‎9.17) except for data from the United States (8.04 vs. 10.36). For developmental quality, ‎complicated responses (DQ+) occurred with lower frequency than simple responses (DQo; 2.18 ‎vs. 16.37). This pattern is in parallel with previous studies (Brazil: 1.90 vs. 13.04; Italy: 3.52 vs. ‎‎15.95; Japan: 1.83 vs. 14.54; and Portugal: 4.01 vs. 16.97; US: 5.46 vs. 11.06). The mean number ‎of the responses that are indicative of organizational activity was as expected (Iran: 7.54; Brazil: ‎‎6.64; Portugal: 11.26; Japan: 7.04; Italy: 8.99). The percentage of under-corporative children was ‎equal to 35% (compared with Brazil: 14%; Italy: 22%; Japan: 8%; and Portugal: 30%). ‎ Due to the simple nature of information processing in childhood, it is not surprising that mean ‎lambda in 5-7 –year-old Iranian children was higher (2.24) than those expected from adults. ‎However, lambda value of Iranian children was lower than the value in most of the other ‎countries (Brazil: 4.13; Italy: 3.02; Japan: 8.47; Portugal: 3. 76) except US (1.46). The other ‎factor necessary to discuss is the form quality. XA% was equal to 0.67. Similar results are ‎presented in other studies (Brazil: 61%; Portugal: 65%; Japan: 35%; Italy: 61%; America: 91%). ‎ In this cluster, there was not any notable data except for lack of M (1.38 vs. compared to Brazil: ‎‎0.48; Portugal: 1.56; Japan: 0.71; Italy: 1.33; America: 2.23) and FM (2.36 vs. Brazil: 1.52; ‎Portugal: 1.87; Japan: 0.96; Italy: 2.27; America: 5.15).‎ According to the high lambda, there was an exception that median of other determents were low. ‎This was also noticeable in FM and also C, shading response and T. In fact, the mean of C was ‎equal to 2.96 in the 5-7 year- old sample (in comparative with Brazil: 1.88; Portugal: 2.88; Japan: ‎‎1.13; Italy: 2.95; America: 5.37). The mean of Sum T and Sum Y were equal to 0.34 and 0.14, ‎respectively (compared to Brazil: 0.24 and 0.72; Portugal: 0.19 and 0.24; Japan 0.0 and 0.0; Italy: ‎‎0.25 and 0.43; America: 0.86 and 0.38). The mean of Sum C’ in 5-7- year- old sample was ‎relatively high (1.41 compared to Brazil: 0.48; Portugal: 1.20; Japan: 0.33; Italy: 1.59; America: ‎‎0.82). Another important data noticeable in Iranian normative data was Afr, whose value was ‎equal to 0.49 (compared to Brazil: 0.56; Portugal: 0.56; Japan: 0.61; Italy: 0.48; America: 0.85).‎ Iranian children provided a small number of responses with color determinants, and this may be ‎due to the high Lambda values cutting through other samples. Inspection of the Afr value gave ‎rise to a new fact when explaining the reason for this decrease. Afr mean values was 0.49 in the ‎Iranian children aged 5 -7. The last point warranting our attention was the fact that CF mean ‎values were always lower than FC ones, with the exception for the 5-7- year- old group, whose ‎values were 0.56 and 1.08, respectively.‎ The Egocentricity index was rather low: 0.26 (compared to Brazil: 0.21; Portugal: 0.24; Japan: ‎‎0.09; Italy: 0.23; America: 0.67). This was mainly due to the rare frequency of reflection ‎responses (Fr and rF). Fr and rF mean value obtained for I Iranian children aged 5 to 7 was 0.01 (compared to Brazil: 0.06; Portugal: 0.02; Japan: 0.0; Italy: 0.03; America: 0.32). On the ‎contrary, An and MOR values were consistently high in all groups (compared to Brazil: 0.50 and ‎‎0.72; Portugal: 0.77 and 0.89; Japan: 0.58 and 0.21; Italy: 0.47 and 0.40; America: 0.13 and ‎‎0.83). ‎ Two or three aspects should be emphasized considering some of the variables. The H and Hd ‎values, which are close to each other, vary between 1.46 and 1.21. Because of the ‎aforementioned small values of movement responses, cooperative and aggressive codes were ‎reduced. On the other hand, the Coping Deficit index reached high frequencies in our samples. ‎The percentage of CDI ≥ 4 values of Iranian children aged 5- 7 was 11% (compared to Brazil: ‎‎6%; Portugal: 10%; Japan: 21%; Italy: 20%; America: 1%). ‎ As demonstrated in table 2, responding styles, some key variables, percentage, ratios, and ‎derivations for each of the countries have been presented. In all countries except for the U.S., the ‎domain style was avoidant. All responding styles were similar in Iran, Italy, Portugal and Brazil, ‎but avoidant style was dominated in Japan’s sample. In American normative data, all children ‎had an extroversive style. One important issue about Iranian normative data was that extroversive ‎style was dominated in this sample (18% compared to Brazil: 14%; Portugal: 8%; Japan: 0%; ‎Italy: 5%). Extroversive style was very high in American normative data (56%). There were no ‎noticeable data on D score. In Iranian normative data, ZD<3.0 was hardly high (35% compared ‎to Brazil: 14%; Portugal: 30%; Japan: 8%; Italy: 24%; America: 28%). According to FQ table, ‎XA %> 0.89 was high in Iranian sample. Japan and the U.S. had unusual values. Ratio of ‎FC: CF+C was similar in each of the counters. DQv>2 was relatively high in Iranian normative ‎data (52% compared to Brazil: 12%; Portugal: 39%; Japan: 13%; Italy: 23%; America: 2%). T>1 ‎were similar in all the sample (Iran: 8%, compared with Brazil: 6%; Portugal: 5%; Japan: 0%; ‎Italy: 4%; America: 1%). 3r+ (2)/R < 0.33 in Iranian sample was low. In addition, Pure C>0 and ‎Pure C>1 were high in Iranian normative data (58% and 30%, respectively). Iranian normative ‎data were high in Afr<0.50 (48%). (2AB+ART+AY) > 5 was the highest in Iranian normative ‎data (2%). ‎

Limitations

The results of this study should be interpreted with caution. These reference data were collected in the city of Tehran and might not generalize to a nonurban population.

Conclusion

Considering the goal of identifying normative reference values that transcend countries, cultures, ‎languages, recruitment strategies, types of normative target populations, examiner training, and ‎age, the data contained in this study present small different values for the CS in each of the ‎mentioned countries. Although the findings in Meyer, Erdberg & Mihura Supplement (2007), ‎strengthen our ability to use an international normative reference standard for the Rorschach with ‎adults, the data in this study challenge our ability to do so for children and adolescents (25).‎ In agreement with the notation of Meyer and Viglione (2008) that indicated child reference data ‎are unstable, and cautioned clinicians about making inferences on the topic of psychopathology ‎in children from CS data and given the findings of this study, we take this caution further (16). ‎We do not understand the cultural, societal, examiner, and/or administration and scoring factors ‎that are responsible for the erratic results seen with children and adolescents.‎ Finally, it may seem that clinicians could rely on country specific or “local norms” when assessing ‎children. The findings in this study and Meyer, Erdberg & Mihura (2007) leave us concerned that ‎normative information collected by one group in a particular locale may not generalize to the ‎types of data obtained by all clinicians working in that locale (25).‎
  15 in total

1.  Clinical utility of the Rorschach with African Americans.

Authors:  G Presley; C Smith; M Hilsenroth; J Exner
Journal:  J Pers Assess       Date:  2001-12

2.  Advancing the science of psychological assessment: the Rorschach Inkblot Method as exemplar.

Authors:  I B Weiner
Journal:  Psychol Assess       Date:  2001-12

3.  The Rorschach: facts, fictions, and future.

Authors:  D J Viglione; M J Hilsenroth
Journal:  Psychol Assess       Date:  2001-12

Review 4.  Coming to grips with negative evidence for the Comprehensive System for the Rorschach: a comment on Gacono, Loving, and Bodholdt; Ganellen; and Bornstein.

Authors:  J M Wood; S O Lilienfeld; M T Nezworski; H N Garb
Journal:  J Pers Assess       Date:  2001-08

5.  Rorschach Comprehensive System (CS) reference data for Israeli adolescents.

Authors:  Shira Tibon Czopp; Lily Rothschild-Yakar; Liat Appel
Journal:  J Pers Assess       Date:  2012-02-09

6.  Rorschach Comprehensive System data from a sample of 211 nonpatient children in Brazil.

Authors:  Rosangela Kátia Sanches Mazzorana Ribeiro; Norma Lottenberg Semer; Latife Yazigi
Journal:  J Pers Assess       Date:  2012-02-06

7.  Rorschach Comprehensive System data for a sample of 190 Japanese nonpatient children at five ages.

Authors:  Mariko Matsumoto; Nobuko Suzuki; Hiromi Shirai; Mutsumi Nakabayashi
Journal:  J Pers Assess       Date:  2007

8.  Introduction to the JPA special supplement on International Reference Samples for the Rorschach Comprehensive System.

Authors:  Thomas W Shaffer; Philip Erdberg; Gregory J Meyer
Journal:  J Pers Assess       Date:  2007

9.  Toward international normative reference data for the comprehensive system.

Authors:  Gregory J Meyer; Philip Erdberg; Thomas W Shaffer
Journal:  J Pers Assess       Date:  2007

10.  Rorschach comprehensive system data for a sample of 478 Iranian children at four ages.

Authors:  Abufazel Hosseininasab; Mohammad Reza Mohammadi; Irving B Weiner; Ali Delavar
Journal:  J Pers Assess       Date:  2014-07-10
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