Protokoll: 13_Tabellen_und_Abbildungen 
R: R version 4.5.1 (2025-06-13) | Locale: en_US.UTF-8 
Zeit: 2026-08-26 18:56:55 
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=== Datengrundlage ===
N = 901 | Items: 16 | Kurzform: E4_SQ014, E4_SQ008, E4_SQ016, E4_SQ007, E4_SQ010 


=== Table 1  Stichprobenmerkmale ===
           Characteristic                    Category
1                     Sex                        Male
2                                              Female
3        Age group, years                     18-40 y
4                                             41-60 y
5                                             61-80 y
6  Educational attainment  Lower secondary/vocational
7                            Upper secondary (Matura)
8                         University degree or higher
9          Language group                      German
10                                            Italian
11                                     Ladin or other
12 Technological affinity                  Low-Middle
13                                               High
14    Frequency of AI use                       Never
15                                            <1/week
16                                            ~1/week
17                                       Several/week
18                                              Daily
   Unweighted, n (%) Weighted, %
1         426 (47.3)        50.0
2         475 (52.7)        50.0
3         287 (31.9)        33.3
4         367 (40.7)        37.6
5         247 (27.4)        29.1
6         291 (32.3)        33.6
7         369 (41.0)        44.6
8         241 (26.7)        21.8
9         613 (68.0)        68.0
10        213 (23.6)        24.0
11          75 (8.3)         8.0
12        285 (31.6)        31.9
13        616 (68.4)        68.1
14        161 (17.9)        18.5
15        205 (22.8)        23.1
16        115 (12.8)        12.6
17        273 (30.3)        29.7
18        147 (16.3)        16.1
  geschrieben: 13_Table1_Stichprobe.csv 


=== Table 2  Die 16 Anwendungen ===
       Item                                      Application
1  E4_SQ014                   Automated medication reminders
2  E4_SQ001          Appointment scheduling and organization
3  E4_SQ015       Management of the electronic health record
4  E4_SQ008  Analysis of clinical data (patterns, anomalies)
5  E4_SQ016           Planning and coordination of treatment
6  E4_SQ002    Documentation of findings, visits, or therapy
7  E4_SQ003                   Monitoring of vital parameters
8  E4_SQ006        Support in individualized treatment plans
9  E4_SQ005                             Support in diagnosis
10 E4_SQ004   Evaluation of diagnostic tests (eg, x-ray, CT)
11 E4_SQ007 Risk assessment and prognosis in chronic disease
12 E4_SQ013        Surgical procedures using robotic systems
13 E4_SQ012                                  Nursing support
14 E4_SQ011     Patient information and education (chatbots)
15 E4_SQ009        Support in medical emergencies and triage
16 E4_SQ010                      Support in urgent decisions
   Weighted acceptance, % (95% CI) Unweighted, %       Hi (SE)
1                 79.7 (76.9–82.2)          80.0 0.613 (0.036)
2                 75.0 (72.0–77.7)          75.1 0.481 (0.035)
3                 67.8 (64.6–70.8)          67.9 0.503 (0.027)
4                 66.2 (63.0–69.3)          66.8 0.567 (0.022)
5                 62.2 (59.0–65.4)          62.4 0.521 (0.022)
6                 60.8 (57.5–64.0)          60.8 0.472 (0.023)
7                 54.8 (51.5–58.0)          55.2 0.478 (0.021)
8                 51.1 (47.8–54.4)          51.4 0.505 (0.019)
9                 51.0 (47.7–54.3)          51.3 0.462 (0.020)
10                47.9 (44.6–51.2)          48.2 0.479 (0.019)
11                45.1 (41.9–48.4)          45.6 0.474 (0.020)
12                41.0 (37.8–44.3)          41.1 0.422 (0.022)
13                40.0 (36.8–43.3)          40.1 0.479 (0.020)
14                38.3 (35.1–41.6)          38.1 0.393 (0.024)
15                33.6 (30.6–36.8)          33.5 0.520 (0.022)
16                28.2 (25.3–31.3)          28.2 0.558 (0.025)
   Short form
1           ●
2            
3            
4           ●
5           ●
6            
7            
8            
9            
10           
11          ●
12           
13           
14           
15           
16          ●
  geschrieben: 13_Table2_Anwendungen.csv 

Kontrolle gegen die abgelegten Werte:
  gewichtete Anteile (16 Items)                  stimmt
  untere KI-Grenzen                              stimmt
  Hi (16 Items)                                  stimmt
  Gesamt-H                                       stimmt


=== Table 3  Differenzielles Itemfunktionieren ===
                         Grouping   n Largest ΔR² Items above 0.035
1 Language group (German/Italian) 826      0.0070                 0
2         Age group (18–40/61–80) 534      0.0281                 0
3                             Sex 901      0.0124                 0
4               Area of residence 901          NA                NA
  Items with q < .05, uniform Items with q < .05, non-uniform
1                           0                               0
2                           6                               2
3                           1                               1
4                          NA                              NA
  Smallest q
1     0.0788
2     0.0001
3     0.0028
4         NA
  geschrieben: 13_Table3_DIF.csv 


=== Table 4  Kurzformkandidaten ===
                        Fassung k     H HT_der_Fassung HT_check_iio
1  gewaehlte Fuenf-Item-Fassung 5 0.597          0.507        0.634
2      beste Sechs-Item-Fassung 6 0.602          0.503        0.591
3  Ausgangsfassung sieben Items 7 0.602          0.451        0.451
4       ohne Notfall und Triage 6 0.594          0.442        0.442
5 ohne dringende Entscheidungen 6 0.588          0.393        0.393
6                    ohne beide 5 0.580          0.315        0.315
7    ohne beide, dafuer Robotik 6 0.542          0.308        0.308
8     ohne beide, dafuer Pflege 6 0.562          0.328        0.328
  entfernt    Q3   rho span HT_halb_M HT_halb_lo HT_halb_hi H_halb_M
1        1 0.166 0.903 0.52     0.507      0.462      0.552    0.597
2        1 0.464 0.918 0.52     0.503      0.459      0.548    0.601
3        0 0.434 0.932 0.52     0.451      0.412      0.489    0.602
4        0 0.199 0.924 0.52     0.442      0.403      0.481    0.594
5        0 0.207 0.921 0.47     0.393      0.352      0.436    0.588
6        0 0.150 0.894 0.34     0.315      0.267      0.368    0.580
7        0 0.177 0.919 0.39     0.307      0.267      0.349    0.541
8        0 0.170 0.925 0.40     0.328      0.288      0.369    0.562
  geschrieben: 13_Table4_Kurzformkandidaten.csv 

Die Spalte mit den H^T-Werten der jeweiligen Itemmenge ist die zu berichtende;
die Spalte aus check.iio() gehoert nicht ins Manuskript.


=== Table 5  Latente Klassenmodelle ===
  Classes Log-likelihood Parameters    BIC   aBIC    AIC Entropy
1       2          -7743         33 15,711 15,606 15,552   0.901
2       3          -7290         50 14,920 14,761 14,680   0.871
3       4          -7154         67 14,764 14,551 14,442   0.859
4       5          -7074         84 14,720 14,453 14,316   0.808
5       6          -7001        101 14,690 14,369 14,204   0.821
  Smallest class, % (n)
1            32.7 (295)
2            18.8 (169)
3            13.6 (122)
4            12.6 (114)
5            11.7 (106)
  geschrieben: 13_Table5_LCA_Modellvergleich.csv 


=== Figure 1 ===
geschrieben: Figure1_AcceptanceHierarchy.png


=== Figure 2 ===
geschrieben: Figure2_LatentClassProfiles.png


=== Erzeugte Dateien ===
                              Datei       Ablage Entspricht
1          13_Table1_Stichprobe.csv   Ergebnisse    Table 1
2         13_Table2_Anwendungen.csv   Ergebnisse    Table 2
3                 13_Table3_DIF.csv   Ergebnisse    Table 3
4  13_Table4_Kurzformkandidaten.csv   Ergebnisse    Table 4
5 13_Table5_LCA_Modellvergleich.csv   Ergebnisse    Table 5
6   Figure1_AcceptanceHierarchy.png 02_Entwuerfe   Figure 1
7   Figure2_LatentClassProfiles.png 02_Entwuerfe   Figure 2
  geschrieben: 13_Verzeichnis_Tabellen_Abbildungen.csv 

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Ende: 2026-08-26 18:56:56 
