publication type
Author (year) and publication type | Sample size | Grade | Type of parent involvement | Category for meta-analysis | Outcome measure | Correlation |
---|---|---|---|---|---|---|
Journal article | 245 Korean adolescents | 6th-12th | General parent involvement | General involvement | GPA | Partial correlations controlling for age and parent level of education: +.16, +.25 |
Note . GPA = grade point average.
Author (year) and publication type | Sample size | Grade | Type of parent involvement | Category for meta- analysis | Outcome measure | ||
---|---|---|---|---|---|---|---|
Reading | Math | GPA | |||||
Journal article | 463 | 7th grade students tested at four waves (7th grade parent involvement correlated with 9th grade scores) | General involvement | General involvement | |||
Mother report | Grade: +.13 Standard test: +.11 | Grade: +.09 Standard test: −.00 | |||||
Student report | Grade: +.06 Standard test: +.04 | Grade: +.11 Standard test: −.01 | |||||
Teacher report | Grade: +.08 Standard test: +.14 | Grade: +.06 Standard test: +.14 | |||||
Journal article | 347 | 7th grade students tested at four waves | General involvement (setting standards for behavior, such as completing schoolwork) | General involvement | +.22 | ||
8th grade parent involvement predicting 11th grade GPA | +.27 |
Author (year) and publication type | Sample size | Grade | Type of parent intervention | Category for meta-analysis | Outcome measure | Pearson’s | |
---|---|---|---|---|---|---|---|
Treatment | Control | ||||||
Journal article | 22 | 25 | 6th | Epstein’s TIPS intervention ( ) used in math classes | Home-based | 40-item mathematics posttest | = .29 |
Dissertation | 11 | 12 | 6th-8th | Parents received instruction for supervising math homework | Home-based | Math achievement test | = −.06 |
Cumulative math achievement test | = −.26 | ||||||
Class grades | = −.67 | ||||||
Conference presentation | 101 | 99 | 6th | Quasi-experimental study: SPLASH (Student-Parent Laboratories Achieving Science at Home) intervention where students were given homework assignments that required parent participation | Home-based | Science homework | None provided; results reported as significant, entered as = .20 |
Dissertation | 16 | 15 | 7th | Parents received instruction for monitoring math homework; control group parents received no instruction | Home-based | Math grade | = −.07 |
Homework | = −.06 | ||||||
Stanford achievement test | = −.08 | ||||||
Journal article | 146 | 107 | 6th & 8th | TIPS intervention ( ) used in science classes | Home-based | Homework grades | = .15 |
Science class grades | = .15 |
Author (year) and publication type | Sample characteristics | Modeling technique | Predictor variables | Outcome variable | Regression coefficient | Size and significance |
---|---|---|---|---|---|---|
Journal article | 19,386 NELS 8th grade students; 13,483 European American | Multiple regression | Discussion with child about high school | GPA | β = .03 | = .050 |
Talk w/parents about post-high school plans | β = .05 | = .001 | ||||
Volunteering or fundraising | β = .11 | = .001 | ||||
Rules about homework, GPA, and chores | β = −.11 | = .001 | ||||
PTO involvement | β = .08 | = .001 | ||||
Parent attends PTO meetings | β = .00 | |||||
Rules about TV, friends, & chores | β = .03 | = .001 | ||||
Parents check homework | β = −.06 | = .001 | ||||
Contact school about academics | β = −.19 | = .001 | ||||
Discussion with parents about school | β = .18 | = .001 | ||||
Talk with father about planning high school programs | β = .02 | |||||
Social capital: knowing parents of child’s friends | β = .03 | = .001 | ||||
2,334 African American | Discussion with child about high school | β = −.06 | = .057 | |||
Talk w/parents about post-high school plans | β = .05 | = .030 | ||||
Volunteering or fundraising | β = .03 | |||||
Rules about homework, GPA, and chores | β = −.06 | |||||
PTO involvement | β = .30 | = .001 | ||||
Parent attends PTO meetings | β = −.09 | |||||
Rules about TV, friends, and chores | β = .05 | = .017 | ||||
Parents check homework | β = −.09 | = .001 | ||||
Contact school about academics | β = −.05 | = .005 | ||||
Discussion with parents about school | β = .08 | = .001 | ||||
Talk with father about planning high school programs | β = .07 | = .002 | ||||
Social capital: knowing parents of child’s friends | β = .02 | = .007 | ||||
2,368 Hispanic | Discussion with child about high school | β = −.00 | ||||
Talk w/parents about post-high school plans | β = .02 | |||||
Volunteering or fundraising | β = −.04 | |||||
Rules about homework, GPA, and chores | β = .00 | |||||
PTO involvement | β = .16 | = .051 | ||||
Parent attends PTO meetings | β = −.02 | |||||
Rules about TV, friends, and chores | β = .05 | = .013 | ||||
Parents check homework | β = −.06 | = .001 | ||||
Contact school about academics | β = −.12 | = .001 | ||||
Discussion with parents about school | β = .19 | = .001 | ||||
Talk with father about planning high school programs | β = .03 | |||||
Social capital: knowing parents of child’s friends | β = −.00 | |||||
1,201 Asian | Discussion with child about high school | β = −.06 | ||||
Talk w/parents about post-high school plans | β = −.04 | |||||
Volunteering or fundraising | β = .05 | |||||
Rules about homework, GPA, and chores | β = .12 | = .029 | ||||
PTO involvement | β = −.04 | |||||
Parent attends PTO meetings | β = .10 | |||||
Rules about TV, friends, and chores | β = .05 | |||||
Parents check homework | β = −.09 | = .001 | ||||
Contact school about academics | β = −.08 | = .005 | ||||
Discussion with parents about school | β = .08 | = .010 | ||||
Talk with father about planning high school programs | β = .09 | = .045 | ||||
Social capital: knowing parents of child’s friends | β = −.03 | = .015 | ||||
Journal article | 25,000 NELS 8th grade students | HLM | Parent expectations for schooling | HLM estimate | ||
Math | 3.92 | < .01 | ||||
Reading | 3.74 | < .01 | ||||
GPA | 0.33 | < .01 | ||||
Journal article | 13,548 NELS (Parent involvement in 8th grade predicting math track placement in 9th grade) | Logit models | Block One | Math track placement | ||
Parental education | ||||||
Parental income | ||||||
Parental occupation | ||||||
Block Two | ||||||
Skipped a grade | 0.27 | |||||
Held back a grade | −0.32 | < .001 | ||||
Parent decides which courses student takes | 0.0074 | |||||
Parent requested current math course | 0.42 | < .05 | ||||
Number of times parent contacted school about academic program | −0.049 | |||||
Neutral contact with school (volunteer, fundraising) | −0.15 | < .01 | ||||
Involvement in PTO activities | 0.11 | < .005 | ||||
Discussion about school | 0.021 | |||||
Talking about school | 0.029 | |||||
Parent knows parents of student’s friends | −0.0037 | |||||
Journal article | 11,401 NELS (8th grade parent involvement predicting achievement in 10th grade) | Not specified | (Controlling for GPA, hours worked, hours of homework, having been retained a grade in school, and gender) | |||
Black | ||||||
Hispanic | ||||||
Asian | ||||||
SES | ||||||
Base-achievement | ||||||
Single-headed household | ||||||
Social capital | ||||||
Parent-child discussion | 0.150 | < .01 | ||||
PTO involvement | −0.115 | < .01 | ||||
Monitoring | −0.071 | < .10 | ||||
Educational support strategies | −0.014 | |||||
Journal article | 13,881 NELS students (analysis of 8th grade test scores) | Hierarchical multiple regression | Block One | 8th grade mathematics achievement test score | ||
Family income, parents’ highest education, gender, single mother, mother/stepfather, Asian American, Hispanic, African American, Catholic, other religious school, independent private, urban, suburban, 8th grade math grades, part-time, not in labor force, number of children home | ||||||
Block Two | ||||||
Talk about school experiences | ||||||
Talk about high school program w/father | ||||||
Talk about high school program w/mother | ||||||
Parents check homework | = −1.053 | < .001 | ||||
Parents restrict TV | ||||||
Child enrolled in extra music class | ||||||
Time unsupervised after school | ||||||
Number of friends’ parents know | ||||||
PTO participation | = −0.231 | < .01 | ||||
Parents contact school | = −0.653 | < .001 | ||||
Parent volunteers at school | = 0.058 | |||||
Journal article | 24,599 NELS (overlap: includes 8th-10th grade) | Multiple regression | Asian vs. Hispanic | Achievement test scores | ||
Asian vs. Black | ||||||
Asian vs. White | ||||||
Asian vs. Indian | ||||||
School control | ||||||
Parental education | ||||||
Family income | ||||||
Family composition | ||||||
Homework | ||||||
Television | ||||||
Educational activity | ||||||
Outside classes | ||||||
Educational aspirations | β = .25 | < .01 | ||||
Discuss school | β = −.03 | < .01 | ||||
Assist in homework | β = −.17 | < .01 | ||||
Journal article | 25,000 NELS (8th grade) | Hierarchical linear modeling | Adjusted school mean SES, family and student background, parent involvement factors | Achievement test scores | ||
Home discussion (talks with parents, discusses school activities) | Reading | β = .124 | < .01 | |||
Math | β = .124 | < .01 | ||||
Home supervision (monitor homework, limits TV time, home after school) | Reading | β = .009 | ||||
Math | β = .033 | < .01 | ||||
School communication (school contacts parents, parents contact school) | Reading | β = −.051 | < .01 | |||
Math | β = −.056 | < .01 | ||||
School participation (volunteer at school, PTO) | Reading | β = .030 | < .01 | |||
Math | β = .026 | < .01 |
Note . GPA = grade point average; PTO = parent-teacher organization; HLM = hierarchical linear modeling; SES = socioeconomic status.
Author (year) and publication type | Sample characteristics | Modeling technique | Predictor variables | Outcome variable | Regression coefficient | Size and significance |
---|---|---|---|---|---|---|
Journal article | 21,814 NELS 8th grade students | SEM | Parent involvement composite | GPA | β = .29 | Not mentioned |
Journal article | 1,714 NELS Mexican American 8th grade students | SEM | Parent involvement composite | Overall GPA | β = .12 | < .05 |
Reading | β = .12 | < .05 | ||||
Math | β = .08 | < .05 | ||||
Science | β = .10 | < .05 | ||||
Social studies | β = .12 | < .05 | ||||
Journal article | 25,000 NELS 8th grade students | SEM | Parent aspirations | GPA | β = .28 | Not mentioned |
Participation at school | β = −.02 | |||||
Home environment | β = −.10 |
Note . SEM = structural equation modeling; GPA = grade point average.
Author (year) and publication type | Sample characteristics | Modeling technique | Predictor variables | Outcome variable | Regression coefficient | Size and significance |
---|---|---|---|---|---|---|
Journal article | 388 Latino youth from the NLSY, ages 10-14 | Hierarchical multiple regression | Block 1 Ethnicity, gender, age, | Reading achievement | β = .09 | < .05 |
Block 2 Youth’s English language problem, mother’s age at 1st birth, mother’s years of education, mother’s AFQT score, no English language problem, mother born in U.S., average adult-child ratio, proportion of youth’s lives poor | Math achievement | β = .11 | < .05 | |||
Block Three School environment, neighborhood quality | ||||||
Block Four Cognitive stimulation, parent-youth conflict, | ||||||
Journal article | 3,116 students from the LSAY (longitudinal analysis, 7th- 12th grade) | Logistic survival analysis/event history analysis | | Participation in advanced math from Grades 8-12 | Parent expectations and college planning linked to increased achievement. | |
Students of parents who volunteer were 9 times more likely to take advanced mathematics in Grade 12. | ||||||
Journal article | 1,670 seventh and 8th grade students from the LSAY | Hierarchical multiple regression | Block 1 Parent gender, child gender, past school adjustment, parent education level | |||
Block 2 (parental assistance with homework including writing, mathematics, and special projects) | GPA Achievement test scores | β = −.10 | < .001 | |||
β = −.14 | < .001 | |||||
(school visits, level of parent- teacher organization membership, attentiveness to school issues) | GPA Achievement test scores | β = .05 | < .01 | |||
β = .02 |
Note . NLSY = National Longitudinal Survey of Youth; LSAY = Longitudinal Study of Adolescent Youth; GPA = grade point average; AFQT = Armed Forces Qualification Test Score.
When multiple articles use the same dataset, they pose the risk of lack of independence and overrepresentation of the data in the meta-analysis. When they provided enough information to calculate an effect size, these effect sizes were averaged using the shifting unit of analysis approach across all effect sizes and included in the meta-analysis. In addition, there were 5 studies that included middle school students and either older or younger students and 1 study that used regression analyses but did not include correlations (see Table 8 ).
Author (year) and publication type | Sample size | Grade | Type of parent involvement | Category for meta- analysis | Outcome measure | Correlation |
---|---|---|---|---|---|---|
Web-based article | 400 | 7th-11th | Volunteering at school | School-based | California Standards Test | |
English | +.19 | |||||
Math | +.23 | |||||
Reading school newsletter | Home-based | Math | −.29 | |||
Checking student planner | Home-based | Math | +.28 | |||
Journal article | 323 | Adolescents, 11-15 years old | : Parent involvement scale, combined as general involvement | General involvement | GPA (math, language, and science) | +.29 |
Salazar et al. (2001) Journal article | 400 | 7th-12th | Parent involvement (general) | General involvement | Student involvement (measure of effort, persistence, and interest in various subjects | +.28 |
Journal article | 929 students (677 mothers, 322 fathers) | 10- to 17-year-old students from the | Parent involvement (attending events and activities, talking to teachers, attending PTA meetings) | School-based | GPA (overall) | +.21 |
GPA European Americans | +.21 | |||||
GPA African Americans | +.24 | |||||
GPA Latinos | +.16 | |||||
Journal article | 179 | 5-17 years old: 5-8, 21.2% 9-11, 25.8% 12-14, 26.2% 15-17, 26.8% | Parental involvement in school activities (teacher report of the extent to which parents participate in PTO and conferences) | School-based | Child performance (i.e. how well is the student performing relative to his/her ability, rated on a scale from 1 to 5) | +.34 |
Note . GPA = grade point average; PTO = parent-teacher organization.
To conduct a comprehensive review of the literature, we searched the major databases that catalogue research abstracts. These included PsychInfo, ERIC, Dissertation Abstracts International, and Sociological Abstracts. Due to the paucity of literature focusing solely on parental involvement in middle school as a primary emphasis, extensive hand searches were also conducted for the following journals to identify articles that included parental involvement in education as a secondary focus and thereby might have been missed in the database search. The following journals were hand searched: American Education Research Journal, Child Development, Developmental Psychology, Journal of Educational Psychology, Journal of Family Psychology, Journal for Research on Adolescence, and Review of Education Research .
The searches were conducted by combining terms reflecting middle school populations with terms reflecting parental involvement in education. The following terms and phrases were used to reflect parental involvement in education: parent involvement, parent-school partnership, parent-school relation*, family-school partnership, family-school involvement, parental involvement in education, parenting involvement in school, family-school relation*, family-school involvement, and family involvement in education (the asterisk indicates that all forms of that stem were included; e.g., relation * includes relations, relationship , and relationships ). The search was later expanded to include terms such as parent risk factors , as the initial search demonstrated that many articles examining achievement outcomes in middle school focused on parental influences on nonnormative developmental trajectories for middle school students. To identify studies of middle school samples, we used the following search terms: middle school *, middle school education, middle school transition, junior high, junior high school*, junior high students, junior high transitions , and early adolescence . We combined each middle school term with a parental involvement term and then examined each study to determine whether an achievement outcome was included. Achievement outcomes included grades, course or class grades, grade point averages (GPA), test scores, and placement in advanced courses.
In addition, descendant searches were conducted on major papers in the field. Using the Social Sciences Citation Index, we located articles that cited seminal articles, such as publications outlining the major theories in the field (e.g., Comer, 1995 ; Conners & Epstein, 1995 ; Eccles & Harold, 1996 ; Epstein, 1987 ; Epstein & Sanders, 2002 ; Grolnick & Slowiaczek, 1994 ). In addition, we conducted descendent searches on papers by authors who appeared in our search at least twice. We conducted backward or ancestry searches by examining the reference lists of all papers that resulted from our search. Further, we identified key researchers in the field (defined as having two or more papers in our database; n = 11), contacted them, and requested relevant new work in press and unpublished findings. We received responses with data from 4 of the 11 researchers contacted. To maximize our sample size, we also contacted 4 authors of recent papers that included middle school students combined with other age groups to request correlations for just the middle-school-age sample. We received one response with correlations for the middle-school-age sample for the data reported in Sirin and Rogers-Sirin (2004) .
The criteria for inclusion of an article in this meta-analysis were threefold. First, the report had to include a measure of parental involvement and academic achievement. Because the focus of this meta-analysis was the relation between parental practices and academic outcomes, we limited the set of research reports to those that measured academic outcomes. Second, the identified research reports needed to be based on middle school samples, which are typically defined as Grades 6 through 8. However, in an attempt to comprehensively account for middle school populations, we used explicit identification as well. For example, when fifth or ninth grade students were included in a study and the authors identified the population as middle school students, these reports were included (e.g., Gutman & Midgley, 2000 ; Marchant, Paulson, & Rothlisberg, 2001 ). Third, the report needed to include correlations (Pearson’s r ), d indexes, or sufficient information to calculate an estimate of the effect size. This included means and standard deviations to calculate the d index as outlined by Rosenthal (1991) . Studies that used a wide variety of statistical analyses were included, such as studies that used structural equation modeling, hierarchical linear modeling, regression, and other statistical techniques, provided that the article also included information from which effect sizes could be calculated. Reports were not included in the meta-analysis if they did not include such information and it was not available from the author. However, their findings and the directions of effects were coded to determine whether they provided additional support to the general results of the meta-analysis.
We eliminated studies that used a broad conceptualization of parental involvement, such as reports that included assessments of general monitoring, parenting styles (i.e., authoritative vs. authoritarian), or discipline in their conceptualization of parental involvement in education, as this meta-analysis focused on the specific strategies parents use to foster achievement on their own and in collaboration with school. In addition, one central goal of this meta-analysis was to determine whether parental involvement in education, as defined by the prevailing theories of parental involvement and family-school relations, was related to achievement among middle school students. Studies were also eliminated if they combined middle-school-age students with other age groups, as the focus of this meta-analysis was on early adolescence and middle school as a unique developmental stage and context. Finally, studies were eliminated that demonstrated a lack of overall face validity (e.g., indicated that their focus was on parental involvement but did not assess parental involvement as defined by the prevailing theories). These criteria for inclusion resulted in 50 articles, reflecting 127 separate correlations.
The coding scheme was developed to extract information about the characteristics of the sample, type of publication, theories used, conceptualization and measurement of parental involvement and academic outcomes, and results (i.e., effect sizes, information to calculate effect sizes, and general magnitude and direction of the relation between parental involvement and academic outcomes). Each research report was coded by two coders. The primary coder was a developmental psychology graduate student with expertise in parental involvement in education, academic motivation, and academic achievement. The secondary coder was an advanced undergraduate research assistant who received extensive training on the theories and research related to parental involvement in education and the goals of the meta-analysis. After retrieving abstracts from the databases, each coder examined each abstract to determine its relevance. If either coder deemed an abstract was relevant, the full article was retrieved for further coding. Research reports received through communications with key researchers in the field were also included in this round of coding. Both coders extracted information from each report selected for inclusion. Any discrepancies between coders were discussed until consensus was reached. If agreement could not be reached, the disagreement was resolved by Nancy E. Hill. This method of discussing discrepancies until consensus is reached, as a way of assuring intercoder reliability, is consistent with the meta-analysis methodology presented in Rosenthal (1991) . This meta-analysis focused on three types of involvement (home-based involvement, school-based involvement, and academic socialization). Studies were coded for these types of involvement. In addition, several studies created measures of parent involvement that combined several types of involvement into a single construct. The code “general involvement” was used when the report did not specify a specific type of involvement or used a unidimensional construct of parental involvement. In the meta-analysis, the construct general involvement was created for all reports by combining across all indicators of involvement.
The main information coded for each article included characteristics of the publication, the independent variables, the sample characteristics, and the outcomes measures of interest.
First, the authors of the research report and the date of publication were recorded. Next, information about the type of publication or report was recorded. These included peer-reviewed journal articles, dissertations, private reports (i.e., the author provided correlations not originally included in a publication), government reports, conference papers, and unpublished datasets. In addition, the type of study was coded; that is, whether the study was a naturalistic correlational study, controlled for a third variable, used advanced statistics and did not include correlations (i.e., structural equation modeling, hierarchical linear modeling), was an intervention trial, or used public-access datasets.
Demographic information about samples was gathered and coded, including sample size, ethnic or racial background of the sample, gender of the target child, specific grade levels or ages of adolescents included in the study, socioeconomic status of the families (including parental education level), and any labels that were given to the samples (e.g., “at risk,” “exceptional students”).
Studies were coded and correlations gathered for each type of involvement, along with the effect size for the overall relation between parental involvement and achievement (i.e., general involvement). As mentioned previously, if the research report did not allow for distinctions between the types of involvement, they were coded as having an assessment of general parental involvement.
The main outcome of interest for this meta-analysis was academic achievement, conceptualized as class grades, GPA, standardized test scores, track placement, and other tests designed to measure achievement.
Effect sizes were ascertained from each research report for each relation between a type of parental involvement and the outcomes. A single article could provide more than one effect size if multiple dimensions of parental involvement or multiple outcomes were included. If effect sizes were not included in the research report, information that could be used to calculate an effect size was gathered and input into the Comprehensive Meta-Analysis program (CMA; Version 2.0; Biostat, Englewood, NJ) to calculate the appropriate effect size (e.g., correlations and Cohen’s d index). In calculating the effect size, we incorporated the shifting unit of analysis approach to account for independence assumptions among the variables. According to this approach, all study effect sizes are coded as independent events ( Cooper, 1998 ). Then, when the overall result for the meta-analysis was generated, the effect sizes were weighted in CMA so that each study contributed to the overall finding on the basis of its sample size and other characteristics. The shifting unit of analysis approach takes into account the fact that one study can contribute multiple effect sizes ( Cooper, 1998 ). For example, Marchant et al. (2001) contributed two effect sizes from the same sample: one for the relationship between academic socialization and GPA and one for the relationship between school involvement and GPA. As such, the shifting unit of analysis approach takes the average of these correlations and contributes one effect size for the purposes of examining the relation between general parental involvement and achievement. However, when conducting moderator analyses, the study effect sizes are only examined across the separate categories of the moderator ( Cooper, 1998 ). When analyses of each type of involvement are considered separately, this approach counts one effect size per category. Thus, in the case of Marchant et al. (2001) , when the impact of different forms of parent involvement is examined, each of the two correlations counts independently in the analysis.
We used meta-analytic techniques to calculate the relations between parental involvement and achievement and the 95% confidence interval. A random effects model was used, which extrapolates to the entire possible pool of studies that may potentially examine the relation between parent involvement and achievement. Thus, random effects models make the current meta-analysis generalizable to all possible studies. This is important because it attempts to account for unpublished studies or studies not published in peer-reviewed journals and book chapters. In addition to determining whether the relation between parental involvement and achievement was significantly different from zero, we examined the heterogeneity of the distribution of the effect sizes using the Q statistic ( Rosenthal, 1991 ). Heterogeneity may be due to the inclusion of outliers, multiple underlying dimensions within the distribution, or sampling error. We used the significance of the Q w to determine the appropriateness of conducting the moderator analyses. We conducted moderator analyses using meta-analytic strategies to compare the strength of the relations between parental involvement and achievement across the three types of involvement (i.e., school-based, home-based, and academic socialization), which were our planned comparisons. The Q B statistic was used to determine whether the groups of effect sizes for each type of parental involvement differed from each other. Due to potential violations of independence at the sample and item level, studies that used public-access datasets were grouped together. These studies did not include correlation matrices, likely due to the large sample sizes. Rather, authors used a variety of modeling techniques (i.e., multiple and hierarchical regression) to examine the relation between parent involvement and achievement. We examined and reported the range of the betas for these studies, which included an array of control variables in addition to parent involvement items. Finally, we conducted exploratory meta-analyses to examine variations in the relation between parental involvement and achievement between African Americans and European Americans.
Overall, the meta-analysis of the correlational studies demonstrated a positive relation between general parental involvement and achievement in middle school. The correlations ranged from −.49 to .73; the average weighted correlation across the 32 independent samples was r = .18, 95% confidence interval (CI) = .12, .24, Q (31) = 1,581.10, p < .0001. The distribution of these is represented in the funnel plot in Figure 1 . Because the confidence interval does not include zero, we concluded that the relation between general parental involvement and academic achievement is positive and significantly different from zero. However, due to the size and the significance of the Q statistic, which is an assessment of the hetero-geneity of the distribution of correlations, there is likely more than one underlying construct of parental involvement with differing associations with academic outcomes.
Funnel plot for the random effects model. The trim and fill technique imputes 11 studies to the left of the mean. White circles represent the effect sizes of all samples from studies providing bivariate correlations. Filled circles represent the imputed effect size.
When a meta-analysis is conducted, one common concern is publication bias. That is, the field often has a bias against publishing null results, which may render a meta-analysis based on published studies biased in favor of statistical significance. To prevent this, we attempted to obtain unpublished data from key researchers in the field. However, this is not always possible. To obtain an estimate of the publication bias, the “trim and fill” technique was used to impute potentially missing studies ( Duval, 2005 ; Taylor & Tweedie, 2000 ). The trim and fill technique is based on the assumption that the full set of possible studies on a topic will be distributed symmetrically around a true mean. To estimate the number of plausibly missing studies, the trim and fill method “trims” the outlying studies that do not have a counterpart on the other side of the mean. The mean effect is recalculated, often resulting in a more conservative effect size; the outlying studies are returned, and their counterparts are estimated based on the new mean level effect size. Using this method, we estimated that 11 studies were potentially missing. These imputed studies were each below the mean and had a negative correlation between parental involvement and achievement (see Figure 1 ).
Next, we conducted moderator analyses to determine whether the strength of the relation between parental involvement and achievement varied among the three types of involvement.
All but six samples provided separate correlations for specific types of parental involvement (i.e., they only included assessments of general forms of parental involvement or collapsed across the different types of involvement). To determine the extent to which each type of involvement was similarly related to achievement, we first examined whether the simple relation between each type of involvement and achievement was significantly different from zero. Second, we compared the magnitudes of the relations across type of involvement using the Q B statistic to determine whether one type of involvement was more strongly related to achievement than another.
Average weighted correlations between parental involvement and achievement were positive and significantly different from zero for school-based involvement and academic socialization (See Table 9 ). For home-based involvement, the relation was not significant. The 95% CI included zero, indicating that we could not rule out that the relation between home-based involvement and achievement was not significantly different from zero.
Analysis | k | r | 95% CI | Q | |
---|---|---|---|---|---|
Low estimate | High estimate | ||||
Overall | 32 | .04 (.18) | .04 (.12) | .05 (.24) | 1,581.10 |
Moderators | |||||
Type of parent involvement | 1,206.92 (38.10) | ||||
School-based | 21 | .19 | .10 | .21 | |
Home-based | 19 | .03, | −.02 | .11 | |
Academic socialization | 16 | .39 | .26 | .44 | |
Type of home-based involvement | 937.81 (7.61) | ||||
Help with homework | 6 | −.11 | −.04 | −.25 | |
Activities at home | 5 | .12 | .05 | .19 | |
Ethnicity | 32.67 (1.80), | ||||
African American | 7 | .11 | .05 | .17 | |
European American | 11 | .19 | .09 | .29 |
Note . Random effects Q values and point estimates are presented in parentheses. CI = confidence interval.
In comparing the strength of the relations across types of parental involvement, we found that the average weighted correlation for each type of involvement and achievement was significantly different, Q B (2) = 38.10, p < .0001. Three planned contrasts were conducted to examine the differences between types of involvement. These included a comparison between academic socialization and home-based involvement, between academic socialization and school-based involvement, and between home- and school-based involvement. Academic socialization was more strongly related to achievement than was home-based involvement. The average weighted correlation between academic socialization and achievement and between home-based involvement and achievement were r = .39 and .03, respectively; Q B (1) = 36.68, p < .0001. For the comparison between academic socialization and school-based involvement and their relation to achievement outcomes, the relation was also stronger for academic socialization. Whereas the average weighted correlation for academic socialization and achievement was .39, it was .19 for school-based involvement and achievement, Q B (1) = 13.30, p < .0001. Finally, the average weighted correlation between school-based involvement and achievement was stronger than the average weighted correlation between home-based involvement and achievement, Q B (1) = 12.30, p < .0001. In summary, parental involvement in education is positively associated with academic outcomes during middle school. Further, among the types of parental involvement, academic socialization emerged as a critical component of parental involvement in middle school that had the strongest positive relation with achievement.
As further evidence of the differences in the strength of the relations between the types of involvement and achievement, the range of the beta weights were examined for the studies using the public-access dataset (e.g., NELS-88, NLSY, LSAY) that could not be included in the meta-analysis. Indeed, the examination of the range suggests that the relation is stronger and more positive for academic socialization (betas ranged from .00 to .42 for studies using the NELS-88 and .11 for the study using the NLSY), compared to school-based involvement (betas ranged from −.06 to .11 for studies using the NELS-88 and −.02 to .05 for studies using the LSAY) and home-based involvement (betas ranged from −.17 to .08 for studies using the NELS-88 and −.14 to −.11 for studies using the LSAY).
The relation between home-based involvement and achievement was not significant, and it was weaker than the relation between other types of involvement and achievement. The Q statistics for home-based involvement suggest that there may be subtypes of home involvement. Because prior research had suggested that home-based involvement should be positively related to achievement, we attempted to identify which types of home involvement were positively related to achievement and whether some types of involvement had a negative relation.
To examine potential multidimensionality among studies of home-based involvement, we examined the types of home-based involvement that were assessed. Prior research suggested that helping with homework is the most controversial type of home-based involvement. Homework help has been shown to both accelerate and interfere with achievement ( Cooper, 1989 , 2007 ; Wolf, 1979 ). The negative relation may be due to parental interference with students’ autonomy, to excessive parental pressure, or to differences between parents and schools in how they present the material. Further, help with homework may be elicited by poor school performance, also resulting in a negative relation between homework help and achievement. Other types of home-based involvement—such as providing educationally enriching activities at home, making books and other educational materials available, and taking children to museums, libraries, the zoo, and other educational outlets—have been shown to have a more consistent positive relation with achievement ( Reynolds & Gill, 1994 ). Therefore, we coded the studies into these two types of home-based involvement and tested the relations with achievement using meta-analytic techniques. There were five correlations representing involvement in activities at home and six correlations representing homework help.
Consistent with our post hoc hypothesis, help with homework was negatively related to achievement, whereas other types of involvement at home were significantly and positively related to achievement. The average weighted correlation between activities at home and achievement was .12 (95% CI = .05, .19), whereas involvement in homework produced a significant but negative average weighted correlation with achievement ( r = −.11; 95% CI = −.25, −.04). These average weighted correlations were significantly different from each other, Q B (1) = 7.61, p < .006. Overall, among the types of home involvement, educationally enriching activities were positively related to achievement, but helping with homework was associated with lower levels of performance.
In summary, parental involvement is positively related to achievement in middle school. Further, parental involvement characterized as academic socialization has the strongest and most positive relation and helping with homework has the strongest negative association with achievement. Other types of home-based and school-based involvement demonstrated significant positive relations with achievement. However, the strength of these relations was more moderate. Our final two questions were whether the relations between parental involvement and achievement varied across ethnicity and whether any evidence on the direction of effect can be ascertained from the results of the five intervention studies and the two longitudinal studies.
Although most studies did not provide separate correlations for each ethnic group, 15 studies did provide such information for African Americans and European Americans. Six studies and 7 samples provided data from African American participants, and 9 studies with 11 samples provided data for European Americans. The overall weighted correlations suggested similarities across ethnicities in the strength of the relation. For African Americans, the average weighted correlation was .11 (95% CI = .05, .17); for European Americans, it was .19 (95% CI = .09, .29). Whereas each was positive and significantly different from zero, they were not significantly different from each other, Q B (1) = 1.80, ns , suggesting that the strength of the relation is similar between African Americans and European Americans. 1
Much debate in psychological research has focused on the ability to discern directions of effects (e.g., Duncan, Magnusson, & Ludwig, 2004 ). Duncan et al. suggested that research capitalize on natural experiments, use longitudinal designs, and use quasi-experimental designs as a way to attempt to establish causality and directions of effect. Longitudinal and experimental studies are presented in Tables Tables3 3 and and4. 4 . As can be seen, longitudinal studies show a moderate positive relation between parental involvement at Time 1 and achievement at Time 2. Further, five studies employed an experimental design that attempted to increase parental involvement in education—specifically, involvement in homework—and in turn, increase adolescents’ school performance.
The studies that used experimental designs to examine the impact of parent training for homework were evaluated using meta-analytic techniques to determine the nature of the relation. The weighted mean d index was .21 and was not statistically different from zero (95% CI = −.54, .98). The weighed mean correlations is .11 (95% CI = −.26, .44). However, the test of the distribution of d indexes was very large and significant, Q w (3) = 15,074.48, p < .0001. Part of the heterogeneity may be due to the fact that these studies were extremely different in terms of design. Ideally, moderator analyses could be conducted to determine whether there were subtypes of homework help that were differently related to achievement, given the heterogeneity in the distribution of correlations; however, three of the five intervention studies explicitly stated that parents were given multiple types of instructions, precluding our ability to examine subtypes. Based on the intervention studies, parental involvement in homework shows a minor effect on achievement, according to the d index.
Overall, parental involvement during middle school is positively related to achievement. However, the types of involvement in which parents engage matter. Among the types of involvement, parental involvement that creates an understanding about the purposes, goals, and meaning of academic performance; communicates expectations about involvement; and provides strategies that students can effectively use (i.e., academic socialization) has the strongest positive relation with achievement. Involvement pertaining to homework assistance and supervising or checking homework was the only type of involvement that was not consistently related with achievement. Whereas school-based involvement—including visiting the school, volunteering at school, and attending school events—was moderately positive in its association with achievement, our evidence suggests that the most salient type of parental involvement is involvement that relates to achievement, results in socialization around the goals and purposes of education, and provides adolescents with useful strategies that they can use in semiautonomous decision making.
In the face of declines in academic achievement during middle school and increased barriers associated with maintaining parental involvement with adolescents (who are increasingly autonomous and independent) and in middle schools (that are larger and more bureaucratic), the synthesis of the extant literature confirms that parental involvement is positively associated with achievement. Moreover, through this meta-analysis, we identified a specific type of involvement, namely academic socialization, that has the strongest positive relation with achievement during middle school. School-based involvement was also positively related to achievement, but less strongly so. Finally, the results for home-based involvement were mixed. Involvement that entailed assisting with homework was not consistently associated with achievement, whereas other types of home-based involvement were positively related to achievement.
Academic socialization includes parents’ communication of their expectations for achievement and value for education, fostering educational and occupational aspirations in their adolescents, discussing learning strategies with children, and making preparations and plans for the future, including linking material discussed in school with students’ interests and goals. An adolescent’s ability to engage in logical and analytic thinking, problem solving, planning, and decision making increase during adolescence ( Halpern-Felsher & Cauffman, 2001 ; Keating, 2004 ). Further, it is during adolescence that goals, beliefs, and motivations are internalized and such inner processes shape adolescents’ academic performance and course selection ( Wigfield, Byrnes, & Eccles, 2006 ). Academic socialization includes the types of strategies that will scaffold adolescents’ burgeoning autonomy, independence, and cognitive abilities. In addition, this type of involvement represents developmentally appropriate strategies of involvement, as it fosters and builds upon the development of internalized motivation for achievement, focuses on future plans, provides a link between school work and future goals and aspirations, and is consistent with the needs of middle school students. Further, it provides young adolescents with the tools to make semiautonomous decisions about their academic pursuits.
In addition to being developmentally appropriate for adolescents, academic socialization strategies are developmentally appropriate for middle school contexts. One of the largest challenges for middle school teachers in their attempts to involve parents is the large number of parents with whom they must develop relationships. Middle school teachers instruct many more students than elementary school teachers. Moreover, because students have multiple teachers, it is difficult for parents to develop productive relationships with their adolescent’s teachers ( Hill & Chao, 2009 ). Academic socialization as a parental involvement strategy is adaptive for middle school contexts because it is not dependent on the development of deep, high-quality relationships with each teacher—a goal that is often not feasible even for the most motivated teacher. It is dependent on parents’ knowledge about how to navigate the middle school context, which is information that can more easily be provided to parents through communications between the school and home and through electronic communications (e.g., Bouffard, 2009 ), and builds upon the relationship between the adolescent and the parent. This type of involvement can be more easily solicited by adolescents as they assess their own needs and direct their interests and trajectories. Further, students’ academic promise may elicit this level of involvement and planning from parents.
School-based involvement was also positively related to achievement, although the relation was weaker than the relation for academic socialization. Whereas prior research and theory have demonstrated the positive effect of school-based involvement ( Comer, 1995 ; Epstein & Sanders, 2002 ; Grolnick & Slowiaczek, 1994 ; Hill, 2001 ; Hill & Craft, 2003 ; Lareau, 1987 ), it is possible that the processes through which school-based involvement has its effect (e.g., increasing social capital or knowledge) are more difficult to realize in middle school. School-based involvement during middle school is less likely to entail involvement directly in one’s child’s classroom. It is more likely to entail assisting teachers with preparation (e.g., bulletin boards, setting up classrooms), fundraising, administrative duties in the office, or committee work. Whereas this type of involvement is important for the functioning of the school, it often does not directly provide parents with knowledge about instructional styles and course content that will facilitate their involvement with their students’ schoolwork. Further, because students have multiple teachers in middle school, parents would need to spend a considerable amount of time at school to build relations with each teacher and spend time in each classroom. Finally, as adolescents become more independent, they do not want their parents to visit the school ( Stevenson & Baker, 1987 ); they want to be trusted that they will manage their responsibilities. That is, adolescents often indicate that they want their parents’ help but do not want their parents to visit the school ( Collins & Laursen, 2004 ; Grotevant, 1998 ). Given adolescents’ increased sense of efficacy, autonomy, and problem-solving skills, they may have a greater role in soliciting the type of involvement they need from their parents, which would make active school-based involvement less effective than other types of involvement.
Home-based involvement entails a range of activities from supporting achievement by providing appropriate structure and intellectually engaging materials in the home to monitoring and checking homework. The provision of an educationally supportive home environment consistently has been shown to be positively related to achievement ( Chao et al., 2009 ; Reynolds & Gill, 1994 ). In contrast, helping with homework has been shown to both accelerate and interfere with achievement ( Cooper, 1989 , 2007 ; Wolf, 1979 ). The negative relation may be due to parental interference with students’ autonomy, to excessive parental pressure, or to differences in how parents and schools present the material. On the contrary, supporting a student who is having trouble completing or understanding homework can deepen and further the student’s understanding of the material. The meta-analysis of the extant literature demonstrated that, on the whole, parental assistance with homework is not consistently associated with achievement. It is plausible that, rather than undermining achievement, parental engagement in homework is elicited by poor school performance, which also results in a negative relation between homework help and achievement.
Attempts at disentangling the direction of effect are futile with correlational research. Longitudinal, natural, and experimental designs provide the best context for social scientists to infer causality or direction of effect ( Duncan et al., 2004 ). The synthesis of interventions designed to increase the amount and quality of parental involvement in homework demonstrated only a weak association between homework help and achievement, and in some cases a negative effect. Whereas in some cases parents’ direct involvement in homework may rescue a failing student, the provision of support and structure that enable middle school students to function semiautonomously, understand the value and utility of education for their future, and understand how the knowledge gained at school links to their interests, talents, and current events seems most significant.
In the context of these consistent findings showing that parental involvement in education is positively associated with achievement during middle school (with the exception of homework help), there are a number of limitations to the existing literature that give us some pause in the confidence we have in our conclusions and provide fruitful ground for future research. First, we have attempted to be careful in our discussion of the findings to refrain from making causal inferences. Whereas most theories suggest that parental involvement improves achievement, there is also a growing body of literature that points to the motivating effect of prior achievement in increasing or decreasing levels of parental involvement ( Eccles, 2007 ; Hoover-Dempsey, Ice, & Whitaker, 2009 ). For example, the negative relation between parental homework help and achievement may reflect parents’ appropriate response for children who are not performing well, rather than demonstrating that parental homework help undermines achievement. Further, adolescents’ increased cognitive abilities, sense of efficacy, and confidence may result in soliciting advice and involvement from parents, which also impacts our understanding of the nature of the dynamic relation between involvement and achievement. Second, the studies included in this meta-analysis reflect incredible heterogeneity in measurement and study design. Indeed, based on our review of the literature, there is not a standard measure of involvement that is used consistently in studies of middle school families. Rarely does one see the same measure used across studies ( Hill & Tyson, 2005 ). The most consistently used measure is from Steinberg et al. ( 1992 ; five items). Three studies cited it; however, two studies modified it. Even when researchers used the same national datasets (e.g., NELS-88), different items were used to assess parent involvement across studies. Although such heterogeneity might undermine our ability to identify consistent patterns in the relation between parental involvement and achievement, the meta-analysis still points to the conclusion that parental involvement that reflects academic socialization has the strongest positive relation with achievement.
Finally, the state of the extant literature did not permit a thorough examination of ethnic and socioeconomic variations in involvement and their relation with academic outcomes. The findings suggested that there is no difference in the strength of the relation between involvement and achievement for European Americans compared to African Americans when considering the findings from the random effects models, which extrapolate to the broader literature (i.e., random-effects design). However, the fixed effect models demonstrated that the relation was positive for both African American and Euro-American families, but stronger for European Americans. Some research suggests that parental involvement has different meanings and motivations across ethnicity ( Hill & Craft, 2003 ; Lynch & Stein, 1987 ), and those from varying economic background engage in parental involvement with different levels of social capital (i.e., resources, knowledge; Hill et al., 2004 ; Lareau, 2003 ; Lareau & Horvat, 1999 ). It is possible that seemingly ethnic differences are ultimately the result of differences in economic resources. Thus, ethnic differences found in the fixed effects model may be due to the potential confounding of ethnicity and other contextual factors in the studies in this meta-analysis. Supporting this contention, Jeynes’s (2005) meta-analysis found no statistical differences in the strength of the relation between studies reflecting “mostly ethnic minority” samples and Euro-American samples when socioeconomic indicators were controlled. Similarly, Fan and Chen (2001) did not find ethnicity to be a significant moderator in their meta-analysis. It is also possible that ethnic differences in beliefs, practices, and processes are not related to involvement as defined in this study. For example, prior research has found that African American parents’ involvement has entailed monitoring the school and teachers rather than forming partnerships with them ( Lareau & Horvat, 1999 ), and African American parents of high achievers have indicated that they are involved at school, in part, to demonstrate to school personnel their commitment to education.
Other than with African Americans, the body of literature on parental involvement in middle school does not include sufficient studies of other sizable ethnic groups, such as Latinos or Asian Americans. Although there is evidence that Asian American students have the highest average achievement levels, their parents are the least involved in education as defined by the prevailing theories ( Chao, 2000 ). Given current demographic trends that predict that Latinos will become the largest ethnic minority group in the United States, it is imperative that psychologists conduct research to understand how Latino families and schools work together most productively. In addition, it is important to identify the types of involvement strategies used by Asian American families. This is particularly important because academic socialization as a parental involvement strategy is more dependent on parents’ knowledge and resources and schools’ ability to provide such information to parents than are other types of involvement.
In the current policy climate—one that requires schools to maintain policies and support parental involvement in education—it is imperative that the scientific field identify developmentally appropriate practical strategies for middle schools. Although the NCLB Act (2002) requires parental involvement in education, largely defined as accountability and communication between families and schools, the results of this meta-analysis suggest that programs and policies need to consider a broader range of involvement strategies. In their mandates, policies such as the NCLB should carefully consider the specific needs of middle school students, including the provision of information about tracking and placement as it effects college access, the ways in which curriculum can be linked to students’ interests and current events, and linkages between the middle school curriculum and students’ long term goals. Lack of guidance was the primary reason that academically able students did not attend postsecondary institutions after high school ( Catsambis & Garland, 1997 ; Conners & Epstein, 1995 ; Jordan & Plank, 2000 ). In the current context of increased demand for parental involvement in education (e.g., school choice, tracking, course selection), without effective parental involvement, adolescents’ opportunities are often foreclosed, leading to lost potential, unrealized talent, diminished educational and vocational attainment, and widening demographic gaps in achievement.
This study was funded in part by a seed grant from the National Institute on Drug Abuse Transdisciplinary Research Center at the Center for Child and Family Policy, Duke University. We thank Harris Cooper for his consultation on meta-analytic strategies. In addition, we thank Lea Bromell, Roxanne Flint, Joseph Bataille, and Andrea Malone-Reid for their assistance with coding the reports for this meta-analysis.
1 Based on the fixed effects model, which does not generalize to the broader literature but reflects the current set of studies, the average weighted correlation was .07 (95% CI = .04, .11) for African Americans and .20 (95% CI = .17, .23) for European Americans. These average weighted correlations were significantly different from each other ( Q (1) = 32.67 p < .001), suggesting that the relation between parental involvement and achievement is stronger for European Americans, albeit positive and significant for both groups.
References marked with an asterisk indicate studies included in the meta-analysis.
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Answers for Homework, e.g. crossword clue, 15 letters. Search for crossword clues found in the Daily Celebrity, NY Times, Daily Mirror, Telegraph and major publications. Find clues for Homework, e.g. or most any crossword answer or clues for crossword answers.
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Homework refers to tasks given to pupils by their teachers to be completed outside of usual lessons. Homework activities vary significantly, particularly between younger and older pupils, including but not limited to home reading activities, longer projects or essays and more directed and focused work such as revision for tests.
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This group includes antecedent variables of homework characteristics considering class and student levels (e.g., homework frequency and length, homework quality, homework control, and adaptivity) in relation to students' homework behaviors and achievement ( Trautwein, Lüdtke, Schnyder, et al., 2006 ).
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Home-based involvement includes strategies like communication between parents' and children about school, engagement with school work (e.g., homework help), taking children to events and places that foster academic success (i.e., museums, libraries, etc.), and creating a learning environment at home (e.g., making educational materials ...
Finally, students were asked to perform a consolidation task, i.e., an individual or group activity targeting the promotion of SE (e.g., report feelings towards homework; minute reflection paper [students were encouraged to write a short reflection to an open-ended question: "Today I learned…"]; couseling4Us [for example, students were ...
Students generally performed poorly on the pretest, as expected, but regressions revealed that pretest scores were uniquely positive, significant predictors of student achievement with other influences on achievement (e.g., homework, attendance) controlled.
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Assignment Type Weighting is used by teachers who calculate the student's class grade by weighing the student's grade in each assignment type (e.g. homework, quizzes, papers, etc.) as a certain percentage of his or her overall class grade.