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Backgrounds: The fungal infection of tinea capitis is a common mycosis that affects the scalp superficially, especially in children. Oral treatment of this infection remains the preferred treatment process in clinical dermatology. Many antifungals available for dermatophyte treatment lead to treatment failure. Determination of antifungal susceptibility of dermatophytes in-vitro has been reported to be important to curb dermatophyte infections using effective antifungal drugs. The aim of this study was to investigate and determine in vitro minimum inhibitory concentration (MIC) of amphotericin B, ketoconazole, griseofulvin, terbinafine, and fluconazole against dermatophyte clinical isolates using agar dilution method.
Materials and Methods: In this study, in vitro susceptibilities of 32 dermatophyte clinical isolates collected from primary school pupils in Sokoto metropolis were investigated to five antifungals (fluconazole, terbinafine, ketoconzole, amphotericin B, and griseofulvin) using the CLSI agar dilution method.
Findings: The results obtained revealed that griseofulvin and terbinafine were the most potent antifungal agents among those tested.
Conclusion: Agar dilution method could be an alternative method for MIC-determination of antifungal drugs against dermatophyte species, since it is cost effective and affordable with consistent results, especially in developing countries.

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Dyadic Data Analysis (DDA) has been suggested, in the existing literature, to be used to explore interpersonal variables which have long been conventionally investigated in isolation. DDA is effective in analyzing procedures that go on among dyads in studies of family relations, partnership, teacher-student affairs, and many other interpersonal relationships. Illustrative examples come from psychological, behavioral, and sociological studies that help develop the researcher's ability to investigate relationship processes, model and test for the effects of actors, partners, and relationships, and control for the statistical inter-dependence which can be conceived between partners. The present paper first reviews the distinctive features of DDA and the potential advantages it can have for language studies. Also, it shows how longitudinal DDA is strongly needed in the investigation of L2 affective variables in the Second Language Acquisition (SLA) domain to longitudinally explore the dynamic and developmental nature of language learners’ affective factors. Finally, it goes on with making suggestions for a future line of inquiry using this innovative analytic procedure and ends with several conclusive remarks about this analytical framework which is compatible with the complexity of dynamic systems theory (CDST).