<div><p>There is a lack of a psychometric tool
for generational identity. We have conducted two studies involving senior
Bangladeshi nationals, containing both independence war veterans and
non-veterans, to develop a new generational identity scale (GIS). The
first study (<i>N</i>=300) prepared an initial pool of 31 items and got them
vetted by expert judges, which retained 21 items to form the provisional GIS
(GIS-21). An exploratory factor analysis on GIS-21 excluded nine items and
offered a two-factor solution: <a>(i)</a>
identification with the generation and (ii) awareness of the generational
importance. The second study (<i>N</i>=176) ran a confirmatory factor analysis on
the resulting GIS-12 and dropped
another item to achieve a better model fit (<i>χ<sup>2</sup>/df</i> =74.74/42
=1.78, <i>CFI</i> =0.96, <i>TLI</i> =0.95, <i>RMSEA</i> =0.05, and <i>SRMR</i>
=0.05). The remaining 11-item GIS (GIS-11) showed <a>excellent
reliability (mean inter-item correlation coefficient =.44, Cronbach’s alpha
=.89) and satisfactory temporal stability (<i>ICC</i>
=</a>.61, 95% <i>CI</i> =0.30 to 0.78) over
a 4-week interval. The
Bangladesh independence war veterans scored higher on GIS-11 than did the
non-veterans, indicating the scale’s diagnostic validity. The scale’s moderate
correlation (<i>r<sub>s</sub></i>=.63, <i>p</i><.001) with another measure for generational identification demonstrates
its convergent validity. We recommend that researchers could use this scale on
different populations and age groups upon appropriate validation. This folder contains three data set reported for this manuscript. </p></div>