
WPRI Report Continued:
Fixing
the Milwaukee Public Schools: The
Limits of Parent-Driven Reform
By David Dodenhoff,
PhD.
PARENTAL INVOLVEMENT
Using similar methods, this section
presents estimates of various kinds of parental involvement within the MPS
system. These can be broken into two primary types: on-site involvement
(at the child’s school), and at-home involvement.
The first task in this section is to
construct a measure indicating high levels of on-site parental
involvement. (Given the comparatively limited impact of on-site
involvement on student achievement, only high levels of parental
involvement are worth considering.) At a bare minimum, a highly involved
parent would be expected to:
-
attend a regularly scheduled parent-teacher conference for their
child, and
-
attend a school or class event (such as a play or a sporting event)
to support their child.
Considering
that participation in just these two activities might require as little as
two or three hours per year, a parent who participated in only these activities could not be considered highly involved at the
school. The NHES survey, however, asked two other questions pertaining to
on-site involvement. These addressed: a) parental attendance at general
school meetings, and b) parental service as a volunteer at the school.
Similar to the
two activities above, attending a general school meeting is a relatively
low-cost form of involvement. One might not be comfortable classifying a
parent as highly involved if he or she did nothing more than attend a
general meeting, attend an event in support of his or her child, and
attend a parent-teacher conference. Again, over the course of a school
year, this might require no more than three or four hours. On the other
hand, requiring that a parent serve as a school volunteer in order to be
classified as highly involved seems too restrictive. For purposes of the
estimate below, then, a parent is considered highly involved at the school
site if he or she:
-
attends a regularly scheduled parent-teacher conference for his or
her child,
-
attends a school or class event (such as a play or a sporting
event) to support his or her child, and
-
participates in a hypothetical, on-site activity requiring an
investment of time somewhere between the time investment required to
attend a general meeting on the one hand, and to volunteer at the school
on the other.
(The
interpolation of the frequency of this third, hypothetical activity is
explained in the Methodology Appendix.)
Based
on the foregoing criteria, one arrives at the following estimate:
An estimated 34
percent of MPS parents can be considered “highly involved” at their
child’s school site.
Estimating
levels of at-home parental involvement is somewhat more complicated, in
that the nature of meaningful involvement differs among children of
different ages. Accordingly, estimates of parental involvement are
presented separately for three different groups of students:
1.
those nine years old or younger,
2.
those ranging in age from 10 to 13, and
3.
those from 14 to 17 years old.
For
each of these groups, a set of activities was identified that, if engaged
in by parents, would constitute moderate to high levels of at-home
involvement. The specific activities were determined by a review of the
relevant research literature and, of course, by the availability of
questions addressing specific parental activities in the NHES data.[ii]
For
the youngest group (students nine years old or younger), parents were
considered moderately to highly involved in their child’s education at
home if the parent:
-
established rules regarding television viewing and appropriate bed
times on school nights;
-
discussed with the child his or her experiences at school
“often” (as opposed to “sometimes” or “never”);
-
participated in at least one of a series of activities with the
child in the preceding week;[iii]
and
-
read to the child three or more times in the preceding week.
An estimated
49.2 percent of MPS parents with children under age 10 meet all four of
these criteria, and therefore can be considered moderately to highly
involved at home.
For
students ages 10 to 13, parents were considered moderately to highly
involved in their child’s education at home if the parent:
-
established rules regarding television viewing and completion of
homework;
-
discussed with the child his or her experiences at school
“often” (as opposed to “sometimes” or “never”);
-
participated in at least one of a series of activities with the
child in the preceding month;[iv]
-
regularly checked to see if the student had completed his or her
homework; and
-
assisted with homework at least one or two days per week.
An estimated
42.5 percent of MPS parents with children from age 10 to age 13 meet all
five of these criteria, and therefore can be considered moderately to
highly involved at home.
Finally,
for students ages 14 through 17, parents were considered moderately to
highly involved in their child’s education at home if the parent:
-
established rules regarding the time at which the student was
expected home at night;
-
discussed time management with the student in the previous week;
-
discussed with the student his or her experiences at school
“often” (as opposed to “sometimes” or “never”);
-
participated in at least one of a series of activities with the
student in the preceding month;[v]
and
-
discussed at least two of the following topics with the student at
least “sometimes” in the preceding month:
-
the student’s friends,
-
things that are troubling the student, and
-
the subject of drugs or alcohol.
An estimated
39.7 percent of MPS parents with children from age 14 to age 17 meet all
five of these criteria, and therefore can be considered moderately to
highly involved at home.
***
The
numbers above can be combined to estimate the percentage of MPS parents
who are highly involved at the school site and
moderately to highly involved in their children’s learning at home.[vi]
The children of these parents would expect to enjoy the most significant
boost from parental involvement. The estimates for each age group are as
follows:
-
Students nine years old or younger: 24.6 percent
-
Students from ages 10 through 13: 17.7 percent
-
Students from ages 14 through 17: 11.2 percent.
A Note on Social Desirability Bias
The
estimates in this study were derived in large part from survey data.
Unfortunately, survey questions of the sort used here are notoriously
prone to what is known as “social desirability bias.” This kind of
bias can enter a survey when certain questions have a “right,” or
socially desirable, answer that respondents may give even when it is not
accurate.
Imagine,
for example, a survey of political attitudes and participation. After a
standard battery of questions on party affiliation, news sources, and
opinions on Congress and the president, the interviewer might ask, “Did
you vote in the last election?” There is clearly a socially desirable
answer to this question—“yes.” Voting is what all good citizens do.
Recognizing this, many people tell survey interviewers that they voted in
the most recent election, even when they did not. In the 2002 mid-term
election, for example, about 40 percent of eligible voters cast a ballot.
In the National Election Study survey for 2002, however, 64.9 percent
reported having done so.[vii]
This over-reporting by a margin of nearly 25 points is an example of
social desirability bias.
Questions
about parental involvement in education also have a “right,” or
socially desirable, answer. Responsible parents are supposed to go to
school meetings, attend parent-teacher conferences, help their child do
his or her homework, and so on. Because parents may be uncomfortable
acknowledging that they have fallen short of these standards, some simply
might not acknowledge it. In other words, they might say that they engaged
in a particular activity related to their child’s education when in fact
they did not.
Unfortunately,
there are few ways of quantifying social desirability bias in a survey,
unless researchers have deliberately built the necessary metrics into the
survey itself. In the case of the NHES survey used in this study, they did
not. There are two questions within the survey, however, that help
illustrate even well-meaning parents’ capacity for exaggeration and
wishful thinking. When parents in the survey were asked what kind of
grades their children were earning, 77 percent said A’s or B’s. These
results would make the citizens of Lake Wobegone proud. Similarly, when
parents were asked how far they expected their children to go in their
education, more than 70 percent said that they would finish at least a
four-year degree. This is highly unlikely, considering that even among
recent cohorts, college completion rates level off at about 25 percent.[viii]
To
give some sense of the potential magnitude of social desirability bias on
questions having to do with parental involvement, consider the results
from an earlier study in which parents: a) were asked how often they read
to their young children, and b) were asked to keep a “time diary” of
their children’s activities during the course of randomly-chosen days.
In the survey portion of the study, 47 percent of parents reported reading
to their children every day. When researchers examined a random time diary
day, however, they found that only 28 percent of parents had recorded that
a portion of the child’s day was spent reading with parents. If
parents’ survey responses had been accurate, the time diaries should
have shown roughly 47 percent of children being read to on the randomly
chosen day. Thus, parents may have exaggerated the frequency of daily
reading with children by as much as 20 percentage points.[ix]
What
are the implications of social desirability bias for the results in this
study? Even the relatively low estimated levels of parental involvement
reported above may be exaggerated—perhaps significantly. Accordingly,
the numbers reported here should be considered upper limits on parental
involvement, not averages around which real-world behavior may fluctuate
up or down. In fact, one would not be surprised to find actual levels of
parental involvement within MPS to be 10 to 20 percentage points lower
than indicated by the estimates presented above.
DISCUSSION
The
results presented in the foregoing pages paint a discouraging picture. As
noted, an estimated 34 percent of MPS parents actively choose a school for
their child(ren), rather than simply settling for the closest option in
their neighborhood. This means, of course, that an estimated two-thirds of
MPS parents do not participate in the choice system at all. Beyond this,
fewer than half of parents who do choose make a choice from among two or
more schools (as opposed to considering only one). Of those, about
two-thirds consider academic/performance criteria in making their choice.
By
the time one arrives at this third cut at the data, only 10 percent of
parents remain—that is, only 10 percent of parents consciously choose a
school for their child, do so from at least two options, and consider
academic/performance criteria in the process. Under the
circumstances—with roughly 90 percent of parents either not choosing at
all, or choosing but not applying particularly rigorous criteria—it
seems unlikely that MPS schools are feeling the pressure of a genuine
educational marketplace as a result of public school choice. Their
performance certainly suggests not.
The
data on parental involvement are equally discouraging. According to the
estimates given above, only about one-third of parents are highly involved
in their children’s education at the school site. With respect to
at-home involvement, the figures vary between roughly 40 and 50 percent,
depending on the student’s age. But parents who are at least moderately
involved at home and highly involved at school are scarce indeed,
constituting no more than one quarter of the parent population, and
perhaps as little as 10 percent (again, depending on student age). The
reader should recall, too, that these estimates almost certainly overstate
the extent of parental involvement within MPS—perhaps
dramatically—because of social desirability bias.
None
of this is to suggest that MPS should abandon efforts at promoting public
school choice and parental involvement. Regardless of their impact on
student performance, these two reforms are worthy undertakings. Public
school choice helps level the playing field between parents and schools,
creates incentives for parents to become more engaged consumers of
education, and creates the opportunity to find a better match between
student and school than may be available in systems that do not offer
choice. Parental involvement explicitly identifies parents as partners in
the education enterprise, and makes clear the responsibilities they bear
in ensuring that children get a good education. In short, both reforms
reject the idea of parents as passive observers of the public education
system. These reforms encourage parental empowerment, engagement, and even
accountability.
The
real appeal of these initiatives, however, lies in their potential to
improve student outcomes and the quality of schools. In the MPS system,
however, that potential appears not to have been realized. When it comes
to public school choice, the estimates presented above indicate that few
parents are sufficiently invested in the choice process to create the kind
of serious pressure on individual schools that would result in necessary,
dramatic improvements. With respect to parental involvement, too,
estimated levels of parental engagement within MPS are almost certainly
inadequate to have a meaningful impact on student performance. In both
cases, then, one sees clear limits to the leverage that parent-oriented
reforms can exert over educational outcomes within MPS.
This
may be just as well. Relying on public school choice and parental
involvement to reclaim MPS may be a distraction from the hard work of
fixing the district’s schools. In fact, both theories of reform assume
the existence of a sizeable core of good schools from which parents can
choose, and on which parents can believe that their time and effort are
not being wasted. There is no shortage of ideas for developing such a core
of schools, even in a district the size of MPS, even in a major urban
center with all of its challenges.[x]
The question is whether the district, its schools, and its supporters in
Madison are prepared to embrace reforms more radical than public school
choice and parental involvement. Given the high stakes involved, district
parents should insist on nothing less.
METHODOLOGY/APPENDIX
The
data analysis in this study was based on two sources: the Census
Bureau’s 2005 American Community Survey (ACS), and the 2003 Parent and
Family Involvement in Education survey, which is part of the National
Household Education Surveys Program (NHES) funded by the United States
Department of Education. The ACS was the source for the Milwaukee Public
Schools (MPS) demographic data used in the study. The NHES survey was the
source for national data on parental choice and parental involvement in
education for children in grades kindergarten through eight.
As
noted in the text, previous research has shown a variety of demographic
variables to be correlated with important aspects of both parental choice
and parent involvement in education. The intent of this study was to
explore the impact of those variables on choice and involvement in a
specific education context—the MPS system. The particular demographic
variables considered in the study were:
-
educational attainment of parents,
-
race and ethnicity of students,
-
household composition (single-parent vs. two-parent), and
-
mother’s employment status.
These
variables were found to be particularly influential determinants of
parental involvement in a U.S. Department of Education study using the
same survey questions relied upon in developing the estimates in this
paper. (See Christine Winquist Nord and Jerry West, Fathers’
and Mothers’ Involvement in Their Children’s Schools by Family Type
and Resident Status, United States Department of Education, Office of
Education Research and Improvement, NCES 2001-032, May 2001, Table B1,
p.83.) Furthermore, the values for these variables within MPS differ
significantly from those within the national dataset, meaning that failure
to adjust for them in the estimation process could result in significantly
biased estimates.
The
basic methodological approach of the study was to weight the national data
set (the NHES survey) such that its demographic profile on the four
variables just identified matched that of the MPS district. The estimates
in the text were then derived by performing straight frequency
calculations on the variables of interest in the weighted data set.
The
weights were calculated using 2005 American Community Survey Public Use
Micro Data for the city of Milwaukee. The micro data were filtered to
ensure inclusion only of households with related children enrolled in
grades one through twelve. Then, each child case in the dataset was
classified according to whether or not:
-
the parent or guardian had completed a college education,
-
the child was white and non-Hispanic,
-
the child’s household had two parents/guardians present, and
-
the child’s mother, if present, was in the labor force (either
employed or looking for work).
This
classification scheme resulted in a total of 16 possible demographic
categories for each child case. Weights were determined by comparing the
frequency of each of the 16 categories within Milwaukee to the frequency
of the same categories within the NHES dataset. Each case within the
survey dataset was then weighted, using one of the 16 category weights.
Once this weighting process was complete, the demographics of the weighted
NHES data matched the actual demographics within MPS on the four variables
given above. The estimates generated from the weighted data set, then, can
be considered a reasonable approximation of those that would be generated
using actual MPS data.
***
The
discussion of on-site parental involvement in the text required
interpolation of parent participation in an activity with frequency levels
somewhere between parental frequency of: a) attendance at a general school
meeting, and b) volunteering at the child’s school. The actual weighted
frequency of the former in the NHES data is 83 percent; of the latter, 30
percent. Splitting the difference between these two numbers, one can
assume that roughly 55 percent of parents would engage in an activity
requiring a level of effort greater than attending a general meeting but
less than volunteering at school.
The
question, then, becomes how many of these parents would also: a) attend a parent-teacher conference, and b) attend a school
event in support of their child. Parents engaged in all three would be
classified in the text as “highly involved.”
The
NHES data indicate that 58 percent of parents who attend general school
meetings also attend parent-teacher conferences and school events in
support of their child. Furthermore, 75 percent of parents who volunteer
at their child’s school also attend parent-teacher conferences and
school events. (This lends support to the idea that parents who volunteer
at school are more highly involved overall than parents who attend general
school meetings, other things being equal.) Splitting the difference
again, one can assume that roughly 65 percent of parents who would engage
in a hypothetical activity requiring effort levels halfway between
attending a general school meeting and volunteering at the school would
also: a) attend a parent-teacher conference, and b) attend a school event
in support of their child.
With
this number—65 percent (66.5 percent, to be exact)—the estimate in the
text can finally be derived. This is done by noting that 51 percent of
parents in the NHES dataset attended parent-teacher conferences and
attended school events on behalf of their child. If 66.5 percent of these
parents also engaged in the hypothetical third activity described above,
then:
.51*.665
= .339 = 33.9 percent
of
parents would be estimated to engage in all three activities. This,
therefore, was the estimate used in the text for the proportion of parents
who could be considered highly involved at the school site.
***
The
question of which parents would
engage in a hypothetical third activity (above and beyond attending a
parent-teacher conference and a school event) becomes relevant when one
attempts to calculate the percentage of parents who are highly involved at
school and moderately to highly
involved at home. This calculation requires one to sort parents into two
groups—those who are highly involved at school, and those who are
moderately to highly involved at home—and determine the extent to which
the groups overlap. Establishing the size of the latter group is simple;
it can be determined based on parents’ survey responses in the NHES
data. Establishing the size of the former group is problematic, however;
obviously, parents did not respond to a question about whether or not they
had participated in the hypothetical activity postulated in this study.
In
order to address this issue, participation in the hypothetical activity
was assigned at random to exactly 66.5 percent of parents who reported
having attended a parent-teacher conference and having attended a school
event in support of their child. This random assignment allowed for an
unbiased (albeit crude) designation of all parents in the data set as
members of one of two groups—those who exhibit high involvement at
school, and those who do not. With the size of the former group estimated
in this manner, it became possible to estimate the size of the parent
population exhibiting high levels of involvement at school and
moderate to high levels of involvement at home.
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ENDNOTES
[i] The American Community
Survey data classify households by, among other criteria, the presence
or absence of related children under 18 years of age. For this reason,
the analysis in the text was not extended to children older than 17
years.
[ii] The research literature
consulted for this portion of the study included Chandra Muller,
“Parents and Schools,” Discovery
Magazine, University of Texas, Vol. 14, No.3, pp.31 – 35;
Douglas Downey, “Parental and Family Involvement in Education,”
Chapter 6 in School Reform
Proposals: The Research Evidence (Charlotte, NC: Information Age
Publishing, 2002), edited by Alex Molnar; State of Michigan Department
of Education, ‘What Research Says About Parent Involvement in
Children’s Education,” March 2002, available on-line at: http://tinyurl.com/9p9jj;
Chad Nye, Herbert Turner, and Jamie Schwartz, Approaches
to parental involvement for improving the academic performance of
elementary school children in grades K-6 (London: The Campbell
Collaboration, 2006), available on-line at: http://tinyurl.com/ywbbp6;
William H. Jeynes, Research Digest: Parental Involvement and Student
Achievement: A Meta-Analysis, FINE Network: Harvard Family Research
Project, December 2005, available on-line at: http://tinyurl.com/2hay8g;
and Desforges, “The Impact of Parental Involvement,” op. cit.
[iii] The specific activities
were: telling the child a story; doing arts and crafts with the child;
involving the child in household chores; working on a project with the
child; and playing board games or puzzles with the child.
[iv] The specific activities
were: visiting a library; going to a play, concert, or other live
show; visiting an art gallery, museum, or other historical site; and
visiting a zoo or aquarium.
[v] The specific activities
were: going to a play, concert, or other live show; visiting an art
gallery, museum, or other historical site; attending an event
sponsored by a community or ethnic group; and attending an athletic or
sporting event outside of school in which the student was not a
participant.
[vi] The derivation of this
final set of estimates is described in the Methodology Appendix.
[vii] Brian Duff, Michael J.
Hanmer, Won-Ho Park and Ismail K. White, “Good Excuses:
Understanding Who Votes with an Improved Turnout Question,” Public
Opinion Quarterly, Vol. 71, Number 1, 2007, p.69.
[viii] See the 2005 American
Community Survey for the United States as a whole, Table B15001,
B15001. SEX BY AGE BY EDUCATIONAL ATTAINMENT FOR THE POPULATION 18
YEARS AND OVER.
[ix] See Sandra L. Hofferth,
“Response Bias in a Popular Indicator of Reading to Children,”
Sociological Methodology 36 (1), December 2006, pp.310-315.
[x] See, for example, Samuel
Casey Carter, No Excuses:
Lessons from 21 High-Performing, High-Poverty Schools (Washington,
D.C. Heritage Foundation, 2001); Sammis White, “The Achievement Gap
in Milwaukee Public Schools,” Wisconsin Policy Research Institute;
and Alan M. Blankstein, Failure
is not an Option (Thousand Oaks, CA: Corwin Press, 2004).
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