mechanism of stratification, it may still be necessary to further control the selection of the sample within each stratum. The techniques of cluster sampling and subsampling can be used within a stratum to minimize the selection of non-preferred samples. However, they may result in loss of precision of the estimated characteristic under study. Attempts were therefore made to propose new methods of controlled selection. Goodman and Kish were the first to suggest a technique of controlled selection. The idea of controlled selection is doubtless attractive but needs to be further developed before it can be used to obtain estimates of known precision. The authors [2] have developed a technique of controlled sampling with equal probabilities and without replacement which reduces the risk of obtaining a non-preferred sample to the minimum possible extent and yet provides an estimate which is at least as efficient as in the case of simple random sampling. To further enhance the applicability of this technique, the authors [3] have proposed some simplified procedures of controlled selection. At times, even these may appear to be time consuming. Avadhani [4] has suggested a new approach to obviate this difficulty altogether. The results based on this approach which ultimately lead to the method of controlled simple random sampling, are consolidated in this paper in an integrated fashion and utilised to present a suitable sampling mechanism for controlled selection. 2. Notation and Definitions