A subaward is an agreement with a third-party organization that carries out part of a funded UTD research project or program. The terms of the relationship (sub-subsidy/subcontracting) are influenced by the main agreement and all sub-primes must be monitored to ensure that the sub-recipient meets these conditions. A sub-recipient works with the main recipient to do the work as proposed. Researchers often express a desire to include not only percentages of compliance, but also corrected coefficients in their research reports. The basic idea of such a coefficient is to reduce the percentage of match to the percentage obtained in the case of random allocation of code to segments. For the calculation of “P Chance,” or chance of agreement, MAXQDA uses a proposal by Brennan and Prediger (1981), which is heavily interested in the optimal use of Cohenkappa and its problems of uneven margin distribution. In this calculation, random match is determined by the number of different categories used by the two coders. This is the number of codes in the code-specific result table. Match when assigning a code to a particular segment is indicated by the green icon in the first column. A red symbol in this column indicates that there is no agreement for this segment. For the calculation of coefficients such as Kappa, segments generally need to be pre-defined and equipped with pre-defined codes. However, in qualitative research, a common approach is not to define segments from the outset, but to assign the two coders the task of identifying all document points they deem relevant and assigning one or more appropriate codes.
In this case, the probability of two coders en coding the same section with the same code would be lower, and Kappa would therefore be greater. It could also be argued that the probability of random coding occurring in a text with multiple pages and multiple codes is so insignificant that Kappa corresponds to the mere percentage of agreement. In any case, the calculation must be carefully evaluated. All RICs for research or research services are verified, negotiated and concluded by the Office of Sponsored Projects. The example table shows at the top right that 6 codes have been analyzed. There were disagreements (posted by a stop in the first column) only for the code “resource scarcity… and only in a document (shown by the “No Agree” column). The figures in the columns of the Agreement, No Agreement and Total refer to the number of documents. Concordance limits – average difference observed ± 1.96 × standard deviation of observed differences. Workers are more likely to report their own status than unemployed workers. Because the questionnaire data were collected as part of the national health screening program in Korea, the responses may have been influenced by the status of employment.