The comparisons you make when looking at codes when they do and do not overlap with other codes leads naturally to a consideration of the relationships between codes. The language is more specific in MAXQDA, and I'll cover that in the next video. Generally, I mean the same thing when I say codes overlap, intersect, or co-occur. The advantage here is that each of the three codes capture wider discussions on each topic, but they also allow you to focus in on this specific intersections. Condoms and contraception, pregnancy and STIs. Instead, you might use three codes to capture everything related to protection. Dual protection for STI and pregnancy prevention. Contraceptive use for pregnancy prevention. These intersections between themes can replace more specific codes or even subcodes, like condom use for STI prevention. Sometimes we build our code books so that codes can overlap. How do participants talk about having children in the context of discussions of contraception as compared to when they're not talking about contraception? How do participants talk about condoms when they're also discussing pregnancy versus when they're talking about STIs? This is another comparative approach to analysis and one that will likely lead you to a more conceptual understanding of the relationship between themes. Another important process is to also look at the intersections between codes, places with two codes are overlap in the data. So we've talked about developing an overview summary of specific things in your data, looking at properties and dimensions of those themes and comparing across groups.
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