We have developed a novel dispersion-related model for monotonic temperature dependencies of fundamental band gaps, E g (T), and the associated excitonic absorption and emission line positions, E gx (T), which is suitable for detailed numerical analyses of experimental data available for a large variety of semiconductor ͑including wide-band-gap͒ materials and quantum-well structures. The present model is distinguished from preceding ones by the following features: ͑i͒ It is applicable to an unusually large span of magnitudes for the phonon dispersion coefficient, ⌬ϵͱ͗(បϪប) 2 ͘/ប , extending from the familiar Bose-Einstein regime of vanishing dispersion, ⌬у0, up to the limiting regime of extremely large dispersion, ⌬р1. ͑ii͒ The resulting analytical E(T) functions approach, in the cryogenic region, quadratic asymptotes, the curvatures of which are throughout significantly weaker than suggested by Varshni's ad hoc model. ͑iii͒ The novel analytical expressions enable direct, straightforward determinations of the T→0 limits of gap widths, the high-temperature limits of slopes, the average phonon temperatures, ⌰ϵប /k B , and the associated dispersion coefficients, ⌬, without requiring preliminary determinations of other ͑auxiliary͒ quantities. Results of least-mean-square fittings for a variety of group IV, III-V, and II-VI materials are given and compared with those obtained in previous studies using less elaborate models. The parameter sets obtained suggest that the physically realistic range of dispersion coefficients is confined to an interval from 0 up to a maximum of about 3/4. Another, qualitatively different, dispersion-related model, which represents the hypothetical regime of extremely large dispersion, ⌬Ͼ1, is also developed in this paper solely for the sake of a detailed dispersion-related analysis of Varshni's model function. Our analytical and numerical study concludes that Varshni's model is associated with a hypothetical case of extremely large dispersion characterized by a dispersion coefficient significantly higher than unity, ⌬ V ϭ(2 /6Ϫ1) Ϫ1/2 ϭ1.245. This is in clear contradiction to empirical ⌬ values that range below unity. The relatively large discrepancy between the upper boundary of about 3/4 for realistic ⌬ values and the high value of ⌬ V Х5/4 for Varshni's model is the fundamental reason for the usual inadequacy ͑large degree of arbitrariness͒ of parameter values resulting from conventional fittings of E(T) data sets using Varshni's formula.