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. 2019 Mar 19;36(5):666–671. doi: 10.1093/fampra/cmz010

Table 1.

Nine practical strategies for integrating phases, results or data of QUAL and QUAN in MM

Three types of integration
Nine practical strategies
Definitions
TYPE 1 (T1): Connection of phases Connection of the QUAL and QUAN phases
 1a. Phase QUAL to Phase QUAN Connect the results of a QUAL Phase 1 with the collection and analysis of a QUAN Phase 2 (1)
 1b. Phase QUAN to Phase QUAL Connect the results of a QUAN Phase 1 with the collection and analysis of a QUAL Phase 2 (1)
 1c. Special case of 1a and 1b: ‘Follow a thread’ Analyze the QUAL (or QUAN) data and identify the main themes (or variables) that require further study; choose a theme (or variable) and re-analyse through the QUAN (or QUAL) components (18)
TYPE 2 (T2): Comparison of results Compare the results of QUAL and QUAN
 2a. QUAL and QUAN results obtained separately Compare similarities and differences between QUAL and QUAN results obtained from separate data collection and analysis (1)
 2b. QUAL and QUAN results obtained in an interdependent manner Compare similarities and differences between QUAL and QUAN results from interdependent data collection and analysis (1)
 2c. Special case of 2a and 2b: Divergence of QUAL and QUAN results Compare by focussing on discrepancies (contradictions, discordances or dissonances) between QUAL and QUAN results (26)
TYPE 3 (T3): Assimilation of data Merging of QUAL and QUAN data
 3a. QUAL data into QUAN data Merging of QUAL and QUAN data by transforming QUAL data into QUAN data (1)
 3b. QUAN data into QUAL data Merging of QUAL and QUAN data by transforming QUAN data into QUAL data (1)
 3c. Merging of QUAL and QUAN data Merging of QUAL and QUAN data by merging them for each case in an additional database (1)

References: (1), (18) and (26)

(Reproduced from Pluye et al. (5) by permission of the International Journal of Multiple Research Approaches)