Abstract
Grade retention is widely used in Macao at the elementary and secondary levels. While many teachers and students believe retention gives low-performing students the opportunity to catch up, there is little empirical evidence to support such a claim. Using Programme in International Student Assessment 2009 (
* Funding Note: University of Macau Multi-Year Research Grant MYRG201500052FED.
Macao is a small autonomous city located in the southeast of mainland China that has experienced rapid economic and social development since the former Portuguese colony returned to the People’s Republic of China (
Grade retention is widely practiced in Macao and is typically viewed positively by educators. It is regarded as synonymous with educational quality assurance. 3 More specifically, grade retention is a practice used to help students strengthen their academic foundation and to keep them motivated, according to many teachers. 4 It is believed that retaining students early gives them a second chance at learning, which is considered more desirable than promoting academically weak students who typically find it hard to keep up in subsequent years. Thus, grade retention, or the threat of grade retention, is used to make students perform, possibly motivating them to work harder. However, such beliefs have not been scrutinized empirically. Evidence-based research on the process of identifying students for retention and its effects on various aspects of student learning is scarce in Macao. It is unclear how low achieving students benefit from retention, which in some cases occurs multiple times.
In this paper, we analyze the Macao data from
Literature Review
Effectiveness of Grade Retention
Grade retention is not a new practice within the educational community. 5 In many education systems, advocacy for grade retention is associated with a call to end social promotion, due to deteriorating educational standards. While under social promotion, students are automatically promoted to the next grade regardless of their learning outcomes, practitioners of grade retention require a student to remain in the particular grade for the subsequent school year if she/he fails to meet explicit criteria. Proponents of grade retention see it as an effective intervention strategy for students with academic and/or behavioral difficulties. That is, it is believed that grade retention is an effective solution to academic failure or school maladjustment. 6
There are some empirical findings to support such claims. For instance, the reading proficiency of retained students is found to have improved one and two years after the retention. 7 Despite this, opponents are against retention practices for at least two reasons. First, some opponents point out that the potential social and emotional consequences of grade retention have been overlooked and that the negative effects of grade retention on students’ socioeconomic well-being outweigh any potential academic benefits. 8 For example, compared with their promoted counterparts, retained students have lower self-esteem, poor academic self-concept, poor relationships with their peers, and engage less in academic and school activities. 9 Second, others doubt the potential academic benefits supposedly associated with grade retention. They argue that grade retention could at most lead to a temporary or very short-term academic advantage, 10 and that grade retention is actually an ineffective strategy for improving students’ academic performances. 11 While there are pros and cons to practicing grade retention, empirical analyses derived from a number of important meta-analyses have thrown its effectiveness into serious doubt. 12 In addition, grade retention has been found to be a significant predictor of whether a student will drop out of high school. 13 It seems that grade retention is not merely an ineffective learning strategy for helping students to remain in the education system, but a practice that results in students leaving the education system altogether.
From this well-developed literature, we see that the focus of the discussion has shifted over time from debating the academic efficacy of grade retention, to exploring the effect of the timing of grade retention on students’ potential, 14 discussing what should constitute the basis of practicing grade retention, 15 and eventually to examining new substitute intervention strategies for students with academic and behavioral difficulties. 16
The Macao Context
Macao was ruled by the Portuguese from 1887 to 1999. During the colonial era there was no public school system for the local Chinese and the provision of basic education was shouldered by private schools run by the civil society.
17
Almost all major civil organizations run their own schools. Even after the handover to the
The survival of private schools depends heavily on student enrollments, as the Macao government provides a de facto voucher system to finance basic education (K-12). For each class of a certain number of students a school takes, the government transfers a fixed amount of subsidies to that school. However, without common/standardized examinations in Macao, private schools do not have readily available indicators to demonstrate their quality to potential students. Thus, many schools rely on their criteria for retention. Given the autonomy of private schools in setting their own criteria for grade retention, schools seem to consider that the stricter the criteria, the better the school will appear to students and their parents.
The lack of consensus and common guidelines on retention criteria result in substantially different school-level policies. Wong
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analyzed the retention criteria from 43 schools and found that they set different pass marks and retained students for failing a different number of subjects, ranging from a unit of a core subject to six subjects altogether. Wong and Zhou (under review) further analyzed the retained student body and found that the students who were most likely to be retained were boys from low socioeconomic families. Grade retention has been such a common practice that it is only recently, since the
Gaps in the Literature and Research Questions
By 9th grade, about 40-50% of
engagement in learning;
learning strategies;
metacognition; and
academic performance.
These four factors are important measures of student learning. By comparing engagement in learning and learning strategies, we seek to understand whether previously retained students learn differently from their peers. Metacognition and academic performance are used as learning outcomes, providing us with concrete yet varied measurements. Our premise is that if grade retention helps students to catch up, then we should observe small positive differentials in these aspects from students who have past retention experience over those who do not. That is, retained students should be more engaged in learning and use more effective learning strategies, and therefore be capable of a higher level of thinking, eventually performing better academically.
Data, Research Design & Statistical Model
We used data from
Variables
Descriptions of the variables are listed in Table 1. We explain the construct of each variable in this section.
Dependent Variables
In addition to the time devoted to each subject, we also looked at the particular learning strategies used by students; specifically, the use of memorization, control, and elaboration strategies in their study method. These three continuous indices were constructed by the
Variable description
Metacognition measures the level of thinking ability, involving active control over the cognitive processes engaged in learning. In this sense, metacognition can be used as a learning outcome. Two sets of measures of metacognition were used in this study, understanding and memorization of material, and the ability to summarize such material. Each index is a continuous number that ranges from 0 to 1. The construction of these indices involved first letting each student complete a reading task and then asking them to rate the usefulness of a set of strategies given to them. The ratings they gave were expressed as order relations and the consistency compared between the student order relations and expert order relations, which were predetermined by each nation’s expert center. According to the
Lastly, we used test scores.
All of the variables are continuous. The descriptive statistics are reported in Table 1.
Independent Variables
The retention variable was the main independent variable, which we created using item No.7 of the student questionnaire, and defined as binary. It takes a value of one if the student ever repeated a grade at primary or lower secondary level, otherwise it is zero. Other independent variables included students’ gender, socioeconomic status (
Research Design
As Hong and Raudenbush summarized, 29 most research utilizing cross-sectional data has used the “same-grade” comparison. Using such a design, researchers have compared the outcomes of children repeating a grade with those who entered the grade for the first time. The same-grade comparison allows researchers to compare the “standing of retainees relative to their classmates before and after the retention.” 30 However, studies that have used this design have not produce consistent findings regarding the learning outcomes of the retained students and their promoted peers.
Because the target population of the
Guided by this design, we limited our comparison to those who, (a) had never had a retention experience and (b) had been retained and were currently in a lower grade (grade 7 through 9). 31 We excluded students who had retention experience but progressed faster than their regular peers. 32 In an alternative specification of the sample for sensitivity analysis, we excluded those who were never retained, but who stayed in lower grades for the purpose of redshirting. 33 The distribution of student grades is listed in Table 2.
Grade distribution by retention status
Statistical Model
We used three sets of comparisons between retained and non-retained students. The first was a simple t-test to compare the sets of dependent variables, which we termed naïve comparison. The second was a series of single level multiple regression models using the student level independent variable as controls. The regression model is specified in Equation 1.
Under this specification,
In the Macao context, schools typically set their own rules with regard to learning time and organize activities within or outside of the classroom. Thus, the school effect may confound the individual effect if the factors that cause such differences in retention practice across schools are not explicitly accounted for. However, as
We follow the recommendation of the
Analysis
In Table 3, we present the naïve comparison between retained and non-retained students. The result is straightforward in that students who have previous retention experience at primary or lower secondary level lagged behind in all of the areas we measured. On average, they spent 8 minutes less on reading, 15 minutes less on mathematics, and 104 minutes less on science per week. They used less effective learning strategies, as reflected by the 0.18-0.4 standard deviation differentials compared to their peers in the non-retained group. Their metacognitive measures were 0.26 and 0.33 standard deviations lower than those of their peers. The differences in achievement were equally substantial, with 69 points less in reading, 77 less in mathematics, and 65 points less in science. Considering the standard deviation in achievement score is 100, these effects reflected more than half a standard deviation difference.
Because the naïve estimator does not take into consideration the influence of personal background, the observed difference might be due to the presence of individual characteristics. Next, we fit a series of regression models using the specification stated in Equation 1. The results are presented in Table 4, with the findings summarized in the row labeled “Retention.” The results are qualitatively similar, as the sign of the estimates does not change. The statistical significance pertains to all models, showing confidently that students who were previously retained are statistically different from their peers in these aspects. Other variables such as attitude toward school and
Descriptive statistics
In the last specification (Equation 2), we explicitly control for school context. This is important because the enrollment pattern and school retention policy might correlate with an individual’s previous retention experience. Previous studies have reported diverse school-level retention policies. 36 We did not have any associated information on school policy to merge with the student data, neither could we identify these schools. Thus, we chose to use the fixed effects technique to control for all of the variation in the outcome variables that is induced by school factors. The results are summarized in Table 5. The layout of Table 5 is identical to that of Table 4. The estimates are considerably smaller for the retention variable compared to the estimates in Table 4. This is understandable because the school fixed effects should have absorbed some of the variation in outcome measures. Again, the quality of the coefficients remains the same and the significance unchanged. To put it into perspective, when school background was accounted for, students who were previously retained spent less time studying language, mathematics, and sciences in particular. Their use of learning strategies of various types was less frequent by 0.11 to 0.28 of a standard deviation. Similarly, their metacognitive ability was lower, though not to as large an extent. The differentials are 0.12 and 0.21 of a standard deviation. These are all translated into the achievement gap. In the three subjects tested, retained students achieved relatively lower scores. The differences are approximately 13 points in reading, 16 points in mathematics, and 12 points in science.
Discussion
Retention is a common practice widely used within the education system in Macao. As the high number of students who are retained at elementary and secondary levels has persisted in recent years, tension has arisen among educators, parents, and students. The Macao community is contesting the efficacy of retention in improving student learning at school, yet much of the debate is without empirical evidence to support claims on either side. In this study, we provide the first empirical evidence, using high quality near-census data, on the effect of retention on students’ engagement in learning, learning strategies, and learning outcomes, with our findings consistent in all of these aspects.
In short, students who repeated a grade or more did not benefit from such learning experiences. In fact, our statistical analysis shows that they were engaged to a lesser degree, expressed by a shorter amount of time devoted to the learning of language, mathematics, and science subjects. The differences were most pronounced in science learning, with retained students spending less than 100 minutes per week on this subject. This implies that retained students in Macao do not receive additional treatment, let alone special treatment, during retention. While reduced learning time might not be undesirable in itself, when coupled with the less effective use of learning strategies we observed from the
Comparing retained and non-retained students using regression with student-level control
a Single-parent family as reference group
b Native student as reference group
Standard errors in parentheses
=”+ p<0.10 * p<0.05
Comparing retained and non-retained students using regression with school fixed-effects
a Single-parent family as reference group
b Native student as reference group
Standard errors in parentheses
=”+ p<0.10 * p<0.05 ** p<0.01 ***p<0.001”
We offer some preliminary explanations for what might cause such differences. First of all, the school context plays an important role here. When we controlled for the school context, the differences in the above measures shrank considerably between retained and non-retained students. This suggests that considerable variation exists among schools. When we analyzed within schools, the differences were smaller, but still substantial. This finding suggests a need to look into the particular school-level policy that leads to retention decisions and also to identify school-based remedial programs that may help the student to improve.
This is where we believe current practice falls short. According to another study by the authors that utilized qualitative information from administrators and teachers, schools in Macao are more fixated on identifying students who are not fit for promotion instead of designing measures to help them succeed. 37 The purpose of the implementation of such a policy is beyond the scope of this paper, but it is worth noting that our interviews with retained students showed that they did not receive any extra help either from individual teachers or from the school. When retained, they were simply placed in regular classrooms without additional help, let alone tailor-made assistance. Some even reported being intentionally ignored and discouraged in classrooms. Their social experience deteriorated due to alienation from peers who were removed from them. It is plausible to hypothesize that this may hamper students’ motivation to learn, causing them to eventually lose confidence. Considering that many retained students suffer from such sink-or-swim treatment in schools, it becomes apparent why retained students do not use more effective learning strategies. If a tough retention policy helps schools to establish a reputation within the education market, the unintended consequence is that a large number of students who struggle with schoolwork are falling behind their peers.
Macao is unique in the sense that retention is used on such a large scale. If we look at the student population as a whole, on average students who have been previously retained score more than two thirds of a standard deviation lower than those who have not. This means that if these students reached the average achievement level of the non-retention students, the average performance by Macao students would greatly improve. This is consistent with other education systems where cross-national studies have found that school systems with higher retention rates also have lower student performance. 38 We also fear that with retention used so frequently, there is a possible negative spillover effect on the rest of the population. Thus, the discussion on the modification of retention policy should not focus only on individuals, but should be targeted at the systemic level.
We acknowledge some limitations of this current study. While
In addition, we did not have measures of previous learning status and therefore could prevent reverse causation. It is possible that retained students were already worse in these aspects before retention compared to their promoted counterparts. In such a scenario, retention would alleviate some of the learning obstacles that shrink the gap between these students and non-retained students. Yet, if this is true, it would suggest that the achievement gap would be much wider if retention was not in place. Future studies require a careful evaluation of the situation, involving longitudinal data on student characteristics.
Footnotes
2
4 Ibid.; Yi-Lee Wong and Yisu Zhou, “The Operation of Grade Retention and Education Inequality: Who Gets Retained in Macao and Why,” Asian Pacific Journal of Education, 37(2):150-162.
5
7 Jay Greene and Marcus Winters, “Revisiting Grade Retention: An Evaluation of Florida’s Test-Based Promotion Policy,” Education Finance and Policy 2, no. 4 (September 2007): 319-340; Jay Greene and Marcus A. Winters, “The Effects of Exemptions to Florida’s Test-Based Promotion Policy: Who is Retained? Who Benefits Academically?” Economics of Education Review 28, no. 1 (
): 135-142.
9 Shane Jimerson and Phillip Ferguson, “A Longitudinal Study of Grade Retention: Academic and Behavioral Outcomes of Retained Students through Adolescence,” School Psychology Quarterly 22, no. 3 (
): 314-339; Robert K. Ream and Russell W. Rumberger, “Student Engagement, Peer Social Capital, and School Dropout among Mexican American and non-Latino White Students,” Sociology of Education 81, no. 2 (2008):109-139; Elizabeth Stearns, et al., “Staying back and Dropping out: The Relationship between Grade Retention and School Dropout,” Sociology of Education 80, no. 3 (2007): 210-240.
10 Shane Jimerson, et al., “A Prospective, Longitudinal Study of the Correlates and Consequences of Early Grade Retention,” Journal of School Psychology 35, no.1 (1997): 3-25; Benjamin Silberglitt, et al., “Examining the Effects of Grade Retention on Student Reading Performance: A Longitudinal Study,” Journal of School Psychology 44, no. 4 (September
): 255-270.
11 Shane Jimerson, “On the Failure of Failure: Examining the Association between Early Grade Retention and Education and Employment Outcomes during Late Adolescence,” Journal of School Psychology 37, no. 3 (1999): 243-272; Shane Jimerson, et al., “Beyond Grade Retention and Social Promotion: Promoting the Social and Academic Competence of Students,” Psychology in Schools 43, no. 1 (2006): 85-97; Melissa Roderick, “Grade Retention and School Dropout: Investigating the Association,” American Educational Research Journal 31, no. 4 (January
): 729-759.
12 Thomas C. Holmes, “Grade-Level Retention Effects: A Meta-Analysis of Research Studies.” In Flunking Grades: Research and Policies on Retention, ed. L. A. Shepard and M. L. Smith (The Falmer Press, 1989); Shane Jimerson, “A Synthesis of Grade Retention Research: Looking Backward and Moving Forward,” The California School Psychologist 6, no. 1 (2001b): 47-59; Shane Jimerson and Amber M. Kaufman, “Reading, Writing, and Retention: A Primer on Grade Retention Research,” Reading Teacher 56, no. 7 (
): 622-635.
13 Shane Jimerson, Gabrielle E. Anderson, and Angela D. Whipple, “Winning the Battle and Losing the War: Examining the Relation between Grade Retention and Dropping out of High School,” Psychology in the Schools 39, no. 4 (July 2002): 441-457; Robert K. Ream and Russel W. Rumberger, “Student Engagement,” Sociology of Education 81; Melissa Roderick, “Grade Retention” American Educational Research Journal 31; Elizabeth Stearns, et al., “Staying back and Dropping out: The Relationship between Grade Retention and School Dropout,” Sociology of Education 80, no. 3 (
): 210-240.
14 Benjamin Silberglitt et al., “Examining the Effects,” Journal of School Psychology 44, no. 4 (2006) 255-270; Mary Lee Smith and Lorrie A. Shepard, “Kindergarten Readiness and Retention: A Qualitative Study of Teachers’ Beliefs and Practices,” American Educational Research Journal 25, no. 3 (
): 307-333.
15 Jay Greene and Marcus A. Winters, “The Effects of Exemptions to Florida’s Test-Based Promotion Policy: Who is Retained? Who Benefits Academically?” Economics of Education Review 28, no. 1 (2009): 135-142; Melissa Roderick and Jenny Nagaoka, “Retention under Chicago’s High-Stakes Testing Program: Helpful, Harmful, or Harmless?” Educational Evaluation and Policy Analysis 27, no. 4 (
): 309-340.
16 Shane Jimerson, “Meta-Analysis of Grade Retention Research: Implications for Practice in the 21st Century,” School Psychology Review 30, no. 3 (2001a): 420-437; Shane Jimerson, “A Synthesis of Grade Retention Research: Looking Backward and Moving Forward,” The California School Psychologist 6, no. 1 (
): 47-59.
19 Yi-Lee Wong, “Why are In-Grade Retention Rates so High in Macao?” Current Issues in Education 16, no. 3 (2013), accessed June 7, 2017,
.
21 Karl Alexander, Doris R. Entwisle and Nader Kabbani, “Grade Retention, Social Promotion, and ‘Third Way’ Alternatives,” Paper presented at the National Invitational Conference for Early Childhood Learning: Programs for a New Age, Alexandria, Virginia,
; Ann McCoy and Arthur J. Reynolds, “Grade Retention and School Performance: An Extended Investigation,” Journal of School Psychology 37 (1999): 273-298.
23 Students in Macao could choose from Chinese, English, and Portuguese tests.
24
25
26 Leslie Rutkowski, et al., “International Large-Scale Assessment Data: Issues in Secondary Analysis and Reporting,” Educational Researcher 39, no. 2 (March 2010): 142-151; Matthias von Davier, Eugenio Gonzalez and Robert J. Mislevy, “What are Plausible Values and Why are they Useful?” in Issues and Methodologies in Large-scale Assessments (Vol. 2), ed. by Matthias von Davier and Dirk Hastedt (Princeton,
), 9-36.
27
28 Yi-Lee Wong and Yisu Zhou, “The Operation of Grade Retention and Education Inequality: Who Gets Retained in Macao and Why,” Asian Pacific Journal of Education, 37(2):150-162.
30 Ibid., p. 152.
31 Under normal circumstances, a student would be in grade 10 with non-retention progression.
32 There were only 30 such students.
34 Andreas Ammermueller and Jörn-Steffen Pischke, “Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study,” Journal of Labor Economics 27, no. 3 (2009): 315-338; Eric Hanushek and Ludger Woessmann, “Sample Selectivity and the Validity of International Student Achievement Tests in Economic Research,” Economics Letters 110, no. 2 (February 2011): 79-82; Asako Ohinata and Jan C. van Ours, How Immigrant Children Affect the Academic Achievement of Native Dutch Children (No. 6212) (Bonn, Germany, 2011), accessed June 8, 2017,
.
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36 Yi-Lee Wong, “Why are In-Grade Retention Rates so High in Macao?” Current Issues in Education 16, no. 3 (2013), accessed June 7, 2017,
; Yi-Lee Wong, and Yisu Zhou. “The Operation of Grade Retention and Education Inequality: Who Gets Retained in Macao and Why.” Asian Pacific Journal of Education, 37(2):150-162.
37 Yi-Lee Wong, and Yisu Zhou. “The Operation of Grade Retention and Education Inequality: Who Gets Retained in Macao and Why,” Asian Pacific Journal of Education, 37(2):150-162.
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