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Table 3 Contingency table of gender difference showing the Chi² for each model comparing two types of responses from females and males of the seventy-nine students affected by cutaneous leishmaniasis and their subgroup of sixty-three students after discarding the sixteen empty responses (The calculation using jamovi software version 2.5.4)

From: Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data

 

Gender repartition

1st Results

2nd Results

P

N

U

Chi²

P

N

U

Chi²

Ref A for 63 responses

F = 31

25

6

0

0.65

 

M = 32

23

8

1

Ref A for 79 responses

F = 35

25

6

4

0.14

 

M = 44

23

8

13

Man for 63 responses

F = 31

24

7

0

0.01*

27

4

0

0.04*

M = 32

21

4

7

22

4

6

Man for 79 responses

F = 35

24

7

4

0.006*

27

4

4

0.01*

M = 44

21

4

19

22

4

18

Claude Sonnet for 63 responses

F = 31

26

4

1

0.13

26

4

1

0.1

M = 32

21

5

6

21

4

7

Claude Sonnet for 79 responses

F = 35

26

4

5

0.027*

26

4

5

0.02*

M = 44

21

5

18

21

4

19

NoteboookLM for 63 responses

F = 31

24

5

2

0.39

25

5

1

0.28

M = 32

22

4

6

22

5

5

NoteboookLM for 79 responses

F = 35

24

5

6

0.06

25

5

5

0.05

M = 44

22

4

18

22

5

17

Gemini1.5 for 63 responses

F = 31

25

5

1

0.28

24

6

1

0.25

M = 32

22

5

5

23

4

5

Gemini1.5 for 79 responses

F = 35

25

5

5

0.05

24

6

5

0.04*

M = 44

22

5

17

23

4

17

LlaMA for 63 responses

F = 31

26

5

0

0.75

26

5

0

0.36

M = 32

25

7

0

23

9

0

LlaMA for 79 responses

F = 35

26

5

4

0.18

26

5

4

0.12

M = 44

25

7

12

23

9

12

ChatGPT o1 for 63 responses

F = 31

26

4

1

0.09

25

5

1

0.21

M = 32

22

3

7

19

10

3

ChatGPT o1 for 79 responses

F = 35

26

4

5

0.02*

25

5

5

0.04*

M = 44

22

3

19

19

10

15

ChatGPT o1 PRO for 63 responses

F = 31

26

4

1

0.19

26

4

1

0.19

M = 32

23

3

6

23

3

6

ChatGPT o1 PRO for 79 responses

F = 35

26

4

5

0.03*

26

4

5

0.03*

M = 44

23

3

18

23

3

18

GrokV2 for 63 responses

F = 31

24

6

1

0.74

26

4

1

0.52

M = 32

23

6

3

24

4

4

GrokV2 for 79 responses

F = 35

24

6

5

0.13

26

4

5

0.08

M = 44

23

6

15

24

4

16

DeepSeekV3 for 63 responses

F = 31

25

5

1

0.31

26

4

1

0.17

M = 32

23

4

5

22

4

6

DeepSeekV3 for 79 responses

F = 35

25

5

5

0.05

26

4

5

0.03*

M = 44

23

4

17

22

4

18

Gemini2.0 for 63 responses

F = 31

25

4

2

0.11

26

4

1

0.28

M = 32

18

7

7

22

6

4

Gemini2.0 for 79 responses

F = 35

25

4

6

0.01

26

4

5

0.07

M = 44

18

7

19

22

6

16

  1. (P) Presence of Psychosocial effect. Recoding 1 to P (Psychological effect)
  2. (N) No or maybe of psychological effect (N). Recoding 2 or 3 to N (No psychological effect)
  3. (U) No specific reply to the question or no reply at all. Recoding 0 or 4 to U (Undecided)
  4. F = 31 M = 32 Without analysing empty responses (Students = 63)
  5. F = 35 M = 44 With analysing empty responses (Students = 79)
  6. (*) Chi² or Fisher exact significance level if the p-value is inferior to 0.05