Suchergebnisse

Papers presented at a seminar organized by the Indian Society of Labour Economics and Institute of Economic Growth during Dec. 18-20, 1996

This article is an attempt to highlight issues around the implementation of NREGA with a focus on its institutions, governance and innovations. The main proposition considered is that institutions and governance play an important role in determining the functioning of NREGA, and the trajectory of its success. The attempt is to identify the conditions for success (or failure) in the process, to draw lessons for mid-course corrections to the programme. This includes examining political, administrative and bureaucratic dynamics that may ensure better realisation of the 'right to work'. Based on a field study in three Indian states, it was found that differential impacts and achievements of the NREGA are related to variations in the commitment of local leadership, levels of institutional preparedness and governance capacities. The experience of these states offers certain insights which may help improve implementation policy of the NREGA. (IDS Bulletin/GIGA)

Purpose
This paper aims to discuss recent criticism related to partial least squares structural equation modeling (PLS-SEM).


Design/methodology/approach
Using a combination of literature reviews, empirical examples, and simulation evidence, this research demonstrates that critical accounts of PLS-SEM paint an overly negative picture of PLS-SEM's capabilities.


Findings
Criticisms of PLS-SEM often generalize from boundary conditions with little practical relevance to the method's general performance, and disregard the metrics and analyses (e.g., Type I error assessment) that are important when assessing the method's efficacy.


Research limitations/implications
We believe the alleged "fallacies" and "untold facts" have already been addressed in prior research and that the discussion should shift toward constructive avenues by exploring future research areas that are relevant to PLS-SEM applications.


Practical implications
All statistical methods, including PLS-SEM, have strengths and weaknesses. Researchers need to consider established guidelines and recent advancements when using the method, especially given the fast pace of developments in the field.


Originality/value
This research addresses criticisms of PLS-SEM and offers researchers, reviewers, and journal editors a more constructive view of its capabilities.