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FIGURE 14. Q7—15 ALIGNMENT STRENGTH
Q7
T1
Q8
T2
Q9
T3
Q10
T4
strong moderate Alignment strength:
Research Survey
Q11
T5
Q12
T6
Q13
T7
Q14
T8
Q15
T9
Each question was evaluated against its initial tenet alignment assessment, sentiment, and coded themes. Recall that the desired outcome was to discover themes both inductively and deductively. Questions 7 through 15 were developed deductively with each tenet in mind, while Questions 17 through 20 were coded inductively based on participant knowledge and experiences. Lastly, the information was captured if a question identified gaps during the theme analysis or observed recurring themes across multiple questions. These data were then considered for inclusion in the proposed acquisition doctrine recommendation. Questions 7–15 Analysis The first figure in each analysis will include a Space Acquisition Tenet, the corresponding question, sentiment, and alignment. The figure will also consist of the top 10 codes from ChatGPT and Claude and the final combined top five rank-ordered themes from both lists. Questions 17–20, which were not aligned to a tenet, will only include the model lists and top five themes. Each question will include a discussion on data inferences. The following section will highlight three examples. The first example, Question 7, provides a strong example of a high correlation between sentiment and initial tenet alignment. Next, Question 8 highlights
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Defense ARJ, Summer 2025, Vol. 32 No. 2: 132—193
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