18
Literaturverzeichnis Anderson. N.H.: Comment on an analysis of variance model for the assessment of' configural cue uti 1 ization in cl inical judgement. Psychological Bulletin 1969. 72. 1.63-65. Armstrong. J.S •• Denniston. W.B.(Jr.) & Gordon. M.M.: The use of the decomposition principle in making judgments. Org. Beh. Hum. Perf •• 1975. 14. 257-263. Aufsattler. W •• Oswald. M •• Geisler. W •• Grasshoff. U. Eine Anlyse richterlicher Entscheidungen Ober die Strafrestaussetzung nach § 57 I StGB. Monatsschrift f. Kriminologie. 1982. 65. 305-317. Badahur. R.R.: A representation of the joint distribution of respon- ses to -n- dichotomous items. In: Solomon. H. (Ed.): Studies in item analysis and prediction. Stanford University Press 1961. 158-169. Birch. M.W. : Maximum likelihood in three-way contingency tables. J. Roy. Stat. Soc. (Ser. B.) 1963. 25. 220-233. Birch. M.W.: The detection of partial association:the 2x2 case. J. Roy. Statist. Soc (Ser.B) 1964. 26. 313-324. Birnbaum. A. & Maxwell. A.E.: Classification procedures based on Bayes-formula. Applied Statistics. 1960. 2. 152-169. Birnbaum. M.H. : The devil rides again: Correlation as an index of fit. Psychological Bulletin 1973, 12. 4, 239-242. Birnbaum, M.H. : Reply to the devils advocates: don't confound model testing and measurement. Psychological Bulletin 1974. ai. 11. 854-859. Bishop. Y.M.M •• Fienberg, S.E. & Holland. P.W.: Discrete multivariate analysis: theory and practice. MIT Press, Cambridge, 1975.

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Page 1: Literaturverzeichnis - Springer978-3-642-71515-0/1.pdf · 142 Hershman. R.L.: Optimal inference and a redundancy measure for over lapping data sets. Org. Beh. Hum. Perf. 1973. 10,

Literaturverzeichnis

Anderson. N.H.: Comment on an analysis of variance model for the assessment of' configural cue uti 1 ization in cl inical judgement. Psychological Bulletin 1969. 72. 1.63-65.

Armstrong. J.S •• Denniston. W.B.(Jr.) & Gordon. M.M.: The use of the decomposition principle in making judgments. Org. Beh. Hum. Perf •• 1975. 14. 257-263.

Aufsattler. W •• Oswald. M •• Geisler. W •• Grasshoff. U. Eine Anlyse richterlicher Entscheidungen Ober die Strafrestaussetzung nach § 57 I StGB. Monatsschrift f. Kriminologie. 1982. 65. 305-317.

Badahur. R.R.: A representation of the joint distribution of respon­ses to -n- dichotomous items. In: Solomon. H. (Ed.): Studies in item analysis and prediction. Stanford University Press 1961. 158-169.

Birch. M.W. : Maximum likelihood in three-way contingency tables. J. Roy. Stat. Soc. (Ser. B.) 1963. 25. 220-233.

Birch. M.W.: The detection of partial association:the 2x2 case. J. Roy. Statist. Soc (Ser.B) 1964. 26. 313-324.

Birnbaum. A. & Maxwell. A.E.: Classification procedures based on Bayes-formula. Applied Statistics. 1960. 2. 152-169.

Birnbaum. M.H. : The devil rides again: Correlation as an index of fit. Psychological Bulletin 1973, 12. 4, 239-242.

Birnbaum, M.H. : Reply to the devils advocates: don't confound model testing and measurement. Psychological Bulletin 1974. ai. 11. 854-859.

Bishop. Y.M.M •• Fienberg, S.E. & Holland. P.W.: Discrete multivariate analysis: theory and practice. MIT Press, Cambridge, 1975.

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Anhang A

Nachfolgend sind die Prozentsatze Uber- und unterkonfidenter Schatzun­gen bei der Annahme der bedingten Unabhangigkeit und beim second-order Modell fUr die einzelnen Analyse-Einheiten der drei Datensatze angege­ben. Die Prozentsatze beziehen sich auf den jeweiligen Anteil der Falle an der Gesamtstichprobe.

Legende:

Spalte:

-1- Prozentsatz Uberkonfidenter Schatzungen bei der Annahme bedingt unabhangiger Indikatoren

-2- Prozentsatz unterkonfidenter Schatzungen bei der Annahme bedingt unabhangiger Indikatoren

-3- Prozentsatz Uberkonfidenter Schatzungen beim second-order Modell

-4- Prozentsatz unterkonfidenter Schatzungen beim second-order Modell

Die als 'durchschnittliche' Analyseeinheit ausgewahlte Variablenkombi­nation ist mit *** MID *** gekennzeichnet, die Variablenkombination mit dem graBen Prozentsatz Uberkonfidenter Schatzungen ist mit *** MAX *** gekennzeichet.

Die als ELIMINIERT gekennzeichneten Analyseeinheiten wurden entfernt, weil die Beziehungsstuktur der jeweiligen Variablen durch die Annahme der stochastischen Unabhangigkeit nahezu vollstandig aufgeklart werden konnte.

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149

Datensatz 1: kriminelle Vorbelastung.

Abhangige Variable mit 2 Stufen. 5 Indikatoren

(Prozentsatze Gber- und unterkonfidenter Schatzungen)

1 2 3 4

39.9 3.3 1.1 5.1 37.5 4.7 0.7 13.5 42.8 2.7 1.5 5.8 49.3 1.5 1.7 2.7

** MAX ** 54.5 0.2 1.0 3.3 49.3 1.0 1.6 2.9 24.3 0.4 0.2 2.8 25.1 0.3 0.5 2.8

-- ELIMINIERT ----22.2----0.1----1.5----2.8-------------27.9 0.1 1.4 1.4 24.0 1.8 1.8 13.6 29.1 0.8 1.8 13.3

** MID ** 38.9 1.4 1.3 12.6 41.5 0.6 2.0 3.1

ELIMINIERT ---- 5.2----0.0----1.1----0.4-------------46.7 4.3 2.4 4.1 52.8 2.2 4.9 5.9 47.5 3.0 1.9 6.0 45.6 0.9 1.5 2.3

-- ELIMINIERT ---- 5.9----0.0----1.1----1.0-------------10.4 1.8 2.7 3.3

MITTELWERTE : 38.2 1.7 1.7 5.81

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150

Datensatz 2: Wahl-Daten

Abhangige Variable mit 3 Stufen. 5 Indikatoren

(Prozentsatze Ober- und unterkonfidenter Schatzungen)

1 2 3 4

26.1 6.7 4.8 9.1

** MAX ** 28.1 5.9 3.4 7.0 23.3 4.6 3.2 8.2 19.6 5.8 3.7 6.5 17.7 7.9 3.7 6.5 15.2 5.6 3.5 5.1 19.5 7.1 6.1 9.5

** MID ** 20.4 6.1 5.7 9.1 17.1 6.8 4.2 7.1 16.6 6.2 6.6 8.8 16.6 6.0 7.5 9.5 10.9 5.6 5.5 7.1 15.4 7.7 7.5 10.7 21.4 6.1 5.3 10.5

------------------------------------------------------------MITTELWERTE . 19.1 6.3 5.1 8.2 .

------------------------------------------------------------

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151

Datensatz 3: Suizid-Daten

Abhangige Variable mit 2 Stufen. 5 Indikatoren

(Prozenteatze aber- und unterkonfidenter Schatzungen)

------------------------------------------------------------1 2 3 4

------------------------------------------------------------12.4 9.3 16.0 55.9 18.3 50.3 17.3 50.3 4.4 8.8 7.7 56.2

10.8 42.0 12.4 38.7 6.4 54.1 6.2 54.1

17.0 43.6 12.9 40.5 28.4 48.5 24.0 48.5 24.7 47.9 9.3 46.4 26.3 42.5 18.8 42.5

** MID ** 23.5 42.8 14.2 42.8 14.7 47.7 9.8 45.1 14.9 54.6 17.3 56.4 22.7 43.6 25.5 43.8 12.9 41.8 9.8 41.8 10.3 5.9 8.0 47.2 29.6 49.5 19.1 52.1

** MAX ** 55.9 0.0 10.1 45.4 27.1 47.2 27.6 45.6 25.8 45.1 24.5 45.1 30.4 49.5 29.4 49.5 25.0 4.4 25.0 44.8

------------------------------------------------------------MITTELWERTE : 21.0 37.1 16.4 47.3

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Anhang B

Die im Ergebnisteil nicht abgebildeten Tabellen des 'Wahl'datensatzes sind hier wiedergegeben. Tabelle Bl veranschaulicht die Ergebnisse bei der als 'durchschnittlich' eingestufen Variablenkombination, Tabelle B2 die Ergebnisse der Variablenkombination mit dem maximalen Prozent­satz uberkonfidenter Schatzungen.

Tabelle B1<a)

Prozentsatz der Falle, fur den uber- bzw.

unterkonfidente Schatzungen errechnet werden

FEHLERTYP

(G = 0.75)

UEBERKON­

FIDENZ

UNTERKON­

FIOENZ

(Wahl daten)

MOOELL­

ANNAHME

C.INO.

2-NO ORO. ,

% FAELLE

AKZEPT. UNKLAR

8.09

0.33

10.52

4.17

VERWERF.

12.28

5.40

___________ 1 _____________________________ _

C. IND.

2-NO ORO.

, , 1.72

3.53

14.57

13.68

4.39

5.57 , ,

-----______ 1 ______ ------------------------,

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153

Tabelle BHb)

Die prozentuale Zuordnung der Falle zu den drei

Bereichen 'AKZEPT.' / 'UNKLAR.' / 'VERWERF.'

MODELL

I

% FAELLE

AKZEPT. UNKLAR VERWERF. _________________ 1 _____________________________ _

OBSERVED

C. IND.

2-ND ORO.

I I

I

6.04

11.22

4.24

76.42

64.65

74.81

17.54

24.13

20.95

-----------------,------------------------------

Tabelle B2(a)

Prozentsatz der FaIle. fur den uber- bzw. unter

konfidente Schatzungen errechnet werden

(Wahl daten)

FEHLER MODELL- % FAELLE

TYP ANNAHME AKZEPT. UNKLAR VERWERF. I I

----------- -----______ ' ______ ------------------------, I I I I

UEBERKON- C. IND. 13.77 8.24 14.32

FIDENZ 2-ND ORO. 0.02 1.49 3.35 I I I -----------,-----______ 1 ______ ------------------------I . I' ,

UNTERKON-

FIDENZ

I I I

C. IND. 1.22

2-ND ORO. 2.83

10.05 4.63

10.87 4.14

I I

I I I -----------,-----------,------------------------------,

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154

Tablle B2(b)

Die prozentuale Zuordnung der F~lle zu den drei

Bereichen ' AKZEPT,' / 'UNKLAR,' / 'VERWERF,'

MODELL

G = 0.75

OBSERVED

C,IND,

2-ND ORO.

% FAELLE

AKZEPT. UNKLAR

6.91

15.19

2.28

74.80

60.21

76.52

VERWERF.

18.29

24.60

21.20

I ______________________________ 1