Current Science | 2019
Exploring the Modulatory Effect of Albumin on Calcium Phosphate Crystallization
Abstract
positive and false negative quadrants is taken into account. In all three states, and overall for the whole country, the perception score considerably underestimates most institutions and the NIRF score generally overestimates them. We examined the 2019 scores from NIRF for the top 100 colleges in India from the CV point of view. The NIRF exercise provides a final score (the NIRF score) from five broad parameters for participating institutions. One parameter is an observed variable and is a peerreview-based perception score. Using the TLR parameter as a proxy for teaching and learning resources input, and the RPC and GO parameters as proxies for teaching and research outputs or outcomes, we independently computed a second-order X-score. The NIRF scores and the X-scores are latent variables that emerge from mathematical models. The three scores are compared in the context of CV, and weaknesses and biases can be recognized while validating such multi-dimensional evaluation exercises. Peirce’s quantitative measure of predictive success is used to determine if one construct measure can predict the other. One interesting but unsurprising takeaway is that the perception scores favour colleges based in Delhi and that this bias is carried over to the NIRF scores as well. Again, not unsurprisingly, the perception scores underestimate the performance of most of the institutions which are at the lower end of the spectrum. The bias is particularly felt by the colleges from Kerala. Precisely the reverse picture emerges from the NIRF scores. Now, the performance of institutions at the lower end of the spectrum is shored up considerably – these scores are noticeably higher than those computed from the X-scores model. The X-score which is based on an input–output model, where the input term, TLR appears in the denominator, may give a better representation of reality than the NIRF model, where TLR is added to the output parameters to arrive at a final score.