Been a busy summer. Glad to be back on job. Just last month I was privileged enough
to have attended an early career research (ECR) conference held by ESRC, UKRI
and Closer.ac.uk with a plenary session presented by Commons Librarian Prof. Grant Hill-Cawthorne.
Much of the conference experience involved ascertaining how good research
studies are constructed, where exactly relevant sources of data are extracted
from and how study results are compiled and interpreted via publication for
various audiences including academia and those involved in policymaking.
https://closer.ac.uk/wp-content/uploads/CLOSER-ECR24-Grant-Hill-Cawthorne-keynote.pdf
Designing a Robust MSc in HRM Dissertation Research Question
Craig Starbuck (2023) has a great entry in his book on People
Analytics which explains the fundamentals of research design. He begins with a focus
on the research question. In homage to the 5 A’s of evidence-based practice, Starbuck (2023) explains a simplistic design process that begins with the premise of a (null) hypothesis. The 1st
A, i.e. ask, is made analogous to the following criteria in his book:
- Internal
validity refers to the robustness of the study.
- Confounding
variables refer to an extraneous variable whose presence affects the results
- External
validity (i.e. ‘the general or ‘can what we deem to work, work in general
contexts'?)
- The use of Randomization…
Starbuck (2023) is a good source of short, sharp, and punchy
insights. He later explores quantitative and non-experimental research
approaches, particularly cross-sectional, correlational, and
observational research in a people analytics context.
References
Tags: research, design, longitudinal, variables, validity