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purpose of the Measurement Evaluation Grids (MEGS) is to provide information for
summary reviews of measures. Unlike other reviews, the focus of the MEGS and
these reviews is on the use and psychometric qualities of the measures with
respect to ethnically diverse groups.
goals are to a) select the measures that have been used among minority elders;
b) summarize and critically evaluate available information on the measurement
characteristics of these measures; c) discuss issues related to generalizability
(external validity) of results; d) highlight areas in which knowledge is
lacking; e) suggest areas in which ethnic differences may impact the measurement
process; f) propose areas of future research for the measurement of the domains
analyzed in minority elders; and g) provide recommendations for researchers
wishing to use existing measurement instruments in their research.
there are 40 MEGS on cognitive measures, 10 on affective suffering and 13 on
quality-of-life. As new information
becomes available in the literature MEGS will be added, and reviews updated.
Summarized below are the criteria for evaluation and elements contained in the
MEGS. (See the website for examples (URL:
were developed in collaboration with the Measurement and Methods Cores of the
Resource Centers for Minority Aging Research, sponsored by the National
Institute on Aging, National Center for Minority Health and Health Disparities
and the National Institute of Nursing Research (P30 Ag: 15272, 15281, 15292,
15294, 21677, 21684).
elements described below may or may not be available for each MEG, depending on
the study and article reviewed. For
example, some may focus on differential item functioning (DIF), and may not
include information about reliability or normative data.
possible elements for inclusion in the MEG:
Characteristics of the
(whenever possible race/ethnicity was defined based on 2000 US Census criteria).
When available, subgroups within major ethnic/racial categories (e.g. Korean,
Dominican, Haitian, Mexican, Cuban, etc.) were identified;
size for each of the subgroups for which results are reported;
of measurement (as described by authors) and domains addressed; Conceptual
framework of domain(s) and subdomains;
of method (clinical, research, survey or screening test);
names, sources, and versions for standard instruments, or brief descriptions and
copies of instruments
(if available) for non-standard instruments;
and design of
measure (literacy or reading level; number of items, length of time to complete,
of administration and details of translation methods, if applicable;
of administration (self-administered, interviewer or expert rater);
characteristics of scales (nominal, ordinal, interval or ratio);
(range, meaning of high score, scoring rules, how missing data was handled);
of translations and source;
burden: Number of items in each scale and Time requirements);
characteristics of the instruments:
development and other samples
(convergent and divergent),
Sensitivity to change
for racial/ethnic/cultural subgroups
Evidence of use of
measure in diverse populations (Changes in format and design
(from original) If so: rational for changes; psychometrics for changes;
Modifications in definition for subgroups; Language other than English (method of translation); Method of
recruitment; Data collection method; Response rate; Sample characteristics
(demographics, socioeconomic indicators); Results by groups (differences by
groups, if any)).
to be abstracted from each publication
information collected for each article will be summarized in table format (see
evaluation of reported test characteristics in minority elders: A protocol for critically evaluating the measures in terms of
psychometric properties and differential item functioning was developed.
Summaries by instruments: In addition to presenting results article by article, instrument specific-summaries, including all studies on minority elders employing identical measurement instruments, can presented in tabular format, and used as the basis for expert reviews.
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