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Introduction About the database Background Definitions Need for reliable measurements Difficulties of measurement What analysis can show Overview of findings HIGHLIGHTS Methodology Elements of Reliability Accuracy Replicability Verifiability Value as indicator FINDINGS: Wages Working Hours Child Labor Involuntary Labor Freedom of Association and Collective Bargaining Abuse and Harassment Non-Discrimination Health and Safety Cross-cutting Measurements Monitoring Education about rights Grievance procedures Other About this report
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Yardsticks
for Workers Rights: Highlights The findings set out in this report are based on our review
and analysis of current measurement practice, which the database
makes readily available to the public.
Detailed findings appear in separate sections below, one for
each major subject area of workers' rights, with additional sections
for cross-cutting measurement issues such as the integrity of the monitoring
process. Each section addresses:
Key findings that apply to workplace
measurement in general, rather than to specific subject areas, appear
immediately below. Key findings for specific subject areas cannot be
readily summarized, since they vary from subject to subject. Searching for current best practices:
1.
There is no single best model
to be found in current use. Several monitoring organizations and
companies have measurement guidance documents that cover all key areas
of workers' rights in detail, showing up to hundreds of individual units
of measurement apiece.
[1]
Each has its strengths in particular subject areas, but
no one stands out overall. Our subject-by-subject analysis found best
practices emerging from the efforts of a wide variety of practitioners,
including those whose efforts focus only on one or a few subject areas,
as well as those covering the full spectrum.
2.
Difficulties in measurement vary
widely from subject to subject. A subject like Wages,
where the basic unit of measurement is objective and clear (an amount
of money), presents obstacles to measurement that are very different
from a subject like Abuse and Harassment;
see detailed discussion in the sections below. Some subject areas (e.g.,
Freedom of Association)
are also inherently more difficult to measure than others (e.g., Working Hours);
again, details are discussed below.
These differences mean that overall solutions to measurement
problems are less likely to be effective than piecemeal ones that are
tailored to specific topics and questions.
3.
The quality of current measurement
practice also varies widely from subject to subject, but not because
of differences in measurability. Current
practice does not necessarily show better-developed units of measurement
for easier-to-measure subjects,
or vice-versa. As an example, monitoring currently does a much better
job of measuring workers' ability to pursue complaints about Abuse
and Harassment than complaints about Wages,
even though Wages as a subject matter
is inherently easier to measure. In another example, the tracking of measurement
results over time, to see how measurement results change, is a technique
that is used for the subject of Non-Discrimination
but not for most other subjects, even though tracking changes over time
would be just as easy to do with those other subjects. Differences in
the quality of measurement practice seem to have more to do with how
directly units of measurement can be borrowed from long-standing legal
and regulatory regimes (for example, Title IX of the U.S. Civil Rights
Act of 1964, which addresses discrimination) than with any differences
in inherent measurability from one subject to the next.
4.
There is high potential for cross-learning from
one subject to another. The disparities in measurement practice from
subject to subject, noted above, offer many opportunities for easy improvements,
simply by borrowing successful practices from one subject area
and extending or adapting them to others. Contrary to what might be
assumed, inherent difficulties of measurement are often not the obstacle. Many of the potential improvements for specific
subject areas that are suggested in the analysis below are straightforwardly
derived from what already exists in another subject area. Recognizing
key problems:
5.
Units of measurement that duck
key interpretive issues are a chronic weakness. Current practice
commonly sidesteps issues of definition and interpretation by framing
measurement units in vague or evasive terms. A simple example is the definition of a unit
of measurement for factory temperature as whether temperatures are "adequately
controlled" (record 454)
or "comfortable" (record 1145)
rather than whether they "stay between 50 and 96 degrees F" (record
740). The latter is clear and precise. Not all vagueness can
be cured by substituting numbers for adjectives, however. A more complicated
example, in the area of freedom of association, is defining the unit
of measurement for the adequacy of factory policy. Framing the unit
of measurement as whether the factory has "effective policies to ensure
freedom of association" (record
1229) simply begs the question of what "effective" policies
might be. The monitor who puts down "yes" or "no" as the
recorded result for that measurement unit may be using excellent judgment, but
anyone else looking at that result has no way to tell what criteria
for "effective" policies the monitor used - or whether completely different
criteria might be used when the same measurement unit is taken in another
factory. At least some greater degree of clarity, and some useful basis
for comparison of one workplace with another, could be obtained with
measurement units that cover the frequency and nature of elections,
the mechanisms available to worker representatives to present demands
to management, the availability of the minutes of meetings between management
and worker representatives, and even whether workers' right to freedom
of association is formally communicated to workers on a regular basis
(although none of these is foolproof, either by itself or in combination).
Many measurement units in current use are cast in evasive terms,
and often where definitions are most problematic or controversial. The
desire to duck hard definitional questions is understandable, but the
use of a measurement unit cast in evasive form virtually guarantees
that the results of that measurement will be unreliable.
[2]
6.
Qualitative units of measurement
are indispensable, especially for information gathered from workers
themselves. Quantitative measurement units can seem more
reliable than qualitative ones, but several areas of workers' rights
have key elements that need to be measured qualitatively. (The database
separates qualitative and quantitative units of measurement for analytic
purposes.) Workers themselves are very often the most important
source of information about violations of workers' rights, and on issues
involving intimidation or voluntariness,
[3]
as well as issues like management responsiveness to grievances
and retaliation for union organizing, the units in which their information
is measured are likely be qualitative. Qualitative data can be gathered
and managed with relatively rigorous methods, but current practice in
this field tends to be haphazard and non-rigorous.
[4]
7.
Worker inhibition needs to be
tested for, and findings need to be adjusted or discounted for inhibition
factors that are found, on a consistent basis. Much of current practice relies on worker interviews
to reveal problems. But relatively little attention is paid to measuring
the likelihood that workers will be candid when interviewed. As discussed below,
[5]
intimidation is the norm and may even be inherent in ultra-low-wage
employment. Gauging how severe the risk of intimidation and other inhibiting
factors is likely to be in any particular situation, and compensating
accordingly, is a necessary part of using worker input in measurement
results. Key indicators of intimidation and similar factors have not
been consistently identified or defined in terms of measurement units,
and measurement results related to intimidation have not been used to
discount findings based on worker interviews when high intimidation
potential is shown.
8.
Measurement units often have asymmetrical
reliability. Particularly
for measurement units cast in yes/no form, as most are,
[6]
a "yes" answer may be much more informative than a "no"
answer, or vice versa. In other words, the reliability of the unit of
measurement depends on which result it produces. For example, if workers
receive written pay slips with calculations and deductions clearly shown,
and monitors are able to compare those with factory wage records, those
two facts together make a reliable indicator that factory records are
honest. But an absence of workers' pay slips does not necessarily indicate that factory
records are false. At most, a measurement result that shows the absence
of pay slips would raise a suspicion that would need to be pursued further.
In evaluating the reliability of a particular unit of measurement, either
by itself or in combination with others, it is important to consider
reliability separately for each of the different measurement results
that might be obtained. Focusing
on highest potentials for improvement:
9.
Measurement of incentives and deterrents is
critical. Even if a workplace
offense like sexual harassment is hard to measure directly, it is possible
to look for incentives in the workplace that increase or decrease its
chances of occurring. Incentives mean focusing on self-interest:
is it in management's self-interest to prevent incidents of harassment?
Is it in workers' self-interest to report them? For example, if a specific
named manager has explicit responsibility for preventing harassment
and meeting anti-harassment code standards, and that manager faces clear,
serious penalties for failure and clear financial rewards for success,
it makes compliance likelier than a situation in which management accountability
is diffuse. Child labor is less likely when the employer must both compensate
the child's family for loss of income, and hire an adult replacement,
if caught; i.e., when violating the code standard is more expensive
than complying. (This assumes, of course,
that there is a significant chance of getting caught). Incentives are a recurring theme in the detailed
discussions below. Measurement units that can show the level of incentive
for and against particular kinds of worker abuses, or even measurement
units that simply show whether specific types of incentives and deterrents
are present, can provide a strong indicator of the likelihood that abuses
are occurring. Equally, measuring a factory's incentive to communicate
honestly with monitors can provide one helpful indicator of the likelihood
that monitors are collecting accurate measurements in their interviews
at that factory.
10.
There are several useful gauges for the overall
integrity of the measurement process in any particular workplace. They involve measuring the degree to which
each of the following elements is present. Each is discussed in more
detail in its own separate section: Freedom
of association - a right in itself, but also a strong indicator
of the likelihood that workers are able to voice complaints internally
to management and report them externally to monitors; This analysis
is based on the Lawyers Committee's evaluation of the relevant set of
measurement units that represent current practice in each subject area.
Using the database,
anyone can easily locate the same sets of measurement units, second-guess
our analysis and conclusions, and provide their own. We warmly invite
readers to do so. Researchers
for the Lawyers Committee assembled the units of measurement shown in
the database
and classified them for entry. Individual measurement units were classified
not only by topic,
[7]
subtopic,
[8]
and source,
[9]
but also by the nature and form of the measurement unit,
[10]
and by whether there are any results for it (i.e., actual
recorded data) that the source has reported to the public.
[11]
The database
itself includes a fuller explanation. The database
can be searched for any one classified category of measurement units,
or for any combination of categories (for example, only the units of
measurement for discrimination on the basis of religion that are qualitative
in form and are based on surveys of worker opinion; or, only the units
of measurement for child labor in quantitative form for which actual
data results have been publicly reported by companies). The database can also be searched with a word-search feature (for example, all units of measurement that include the word "grievance," or "fire exit," or both "worker" and "education" in the same measurement unit). The word-search feature can be limited to a single topic or subtopic, or it can be used independent of topic to find every measurement unit that includes the chosen word or words, no matter how those units are classified. Searches can be narrowed by adding more words to a search; for example, "worker" yields 729 search results; "worker rep" yields 42; and "worker rep procedure" yields only four. [12] Endnotes
[1]
These include some of the anonymous sources in the database,
identified as "Confid 1," etc. Some leading companies and monitoring
groups were willing to have the indicators they use presented in the
database, but only if they could not be traced back to their source.
[2]
Discussed more fully in Elements of Reliability,
[3]
Discussed more fully in Monitoring.
[4]
Discussed more fully in Non-Discrimination.
[5]
See Monitoring. [6] Approximately 80% of the more than 2200 units of measurement classified as quantitative in the database are in binary (yes/no) form.
[7]
E.g., "Child Labor."
[8]
E.g., "Response
to Discovered Child Workers."
[9]
E.g., "Social Accountability
International guidelines," or "Rio Tinto Managers Handbook."
[10]
E.g., whether the
measurement unit is quantitative or qualitative; in what form a quantitative
measurement result will be cast (such as a number, a ratio, or a yes/no
answer); and from whose viewpoint a qualitative measurement will be
taken (such as by asking individual workers, local NGO representatives,
or union representatives ). [11] E.g., for a measurement of the factor by which the factory lost-time accident rate has decreased over the last ten years, the result "by a factor of 2.7." [record 1047]. Such actual results are also classified by the type of source reporting the result (e.g., a company, or a non-governmental organization), the scope of the result (e.g., for a single factory, or for all company facilities combined), and other details.
[12]
A search term automatically includes all words with that
term as a root. For example, search results for "worker" will include
records with "workers"; "rep" will include "representative,"
"representation," etc. |
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