The Cognitive Skills and Achievement Gap among Children from Different Ethnic and Cross-National Marriage Families in Taiwan
Chunn Ying Lin
Department of Early Childhood
Education, National Dong Hwa University
*Corresponding author: Chunn Ying Lin, Department of Early Childhood Education,
National Dong Hwa University, Shoufeng, Hualien, Taiwan, Republic of
China. Tel: +88638634900, Fax: +88638634890; Email: aying@mail.ndhu.edu.tw
Numerous
studies have found a learning gap between minority students and non-minority
students, and such gap is associated with lower socioeconomic status and
insufficient educational resources. Recently, however, Taiwan has a
considerable number of children of cross-national married families in all
levels of schools. These children are likely to fall behind their peers in
learning; however, researchers have limited understanding of how the family
composition of different ethnic or cross-national marriages may affect
children’s cognitive skills at the preschool stage and later academic
achievements. This study investigated the above issue using a sample consisting
of 627 5th grade elementary school students and their parents
in Taiwan. Results showed that children of families where both parents are
aboriginal, or one is aboriginal and the other is non-minority, are given
relatively fewer learning resources at the preschool stage. Their cognitive
skills and learning achievements are significantly poorer. The aboriginal
family children perform particularly poorer in learning achievement. Compared
to non-minority children, children of cross-national marriages families lag
behind in cognitive skills, which is mainly due to a lack of learning resources
at the preschool stage, but are able to narrow the academic achievement gap
when they get to the 5th grade.
1.
Background
Several researchers have demonstrated
that students’ learning performance and academic achievement is positively
related to future educational and occupational success [1,2], and is usually
negatively related to substance abuse, delinquency, emotional adaptation and
behavioral problems [3,4]. Therefore, promoting the positive development of
learning among students is always a significant educational issue, and has
inspired the attention of many researchers and policy makers [1,5].
Over the last few decades, researchers
have become increasingly concerned about the early development and learning gap
between disadvantage and non-disadvantage students, and this issue has become
priority of national education [6]. This is a fact for children growing up in
low-income or minority families who experienced high extents of learning
failure and backward progress [2,3,7-10]. How to lessen racial learning gaps is
now a most main purpose of educational policy and management. For instance, the
aim of No Child Left Behind Act (NCLB) in the U.S. is to narrow the learning
gap between high- and low-performing children, raising achievements among
racial and ethnic minorities [6].
In the U.S., the considerable gap in
learning performance and academic achievement between Black, White, or other
immigrants’ children is the most imperious problems facing American society.
For example, Black children account for about one half of the standard
deviation behind their White compeers on standardized reading and mathematics
exams, and racial academic achievement gap are increased by about one tenth of
a standard deviation during each school year [11]. The phenomenon of learning
outcomes (such as cognitive skills, academic achievement, etc.) of ethnical or
racial gaps have also been supported by several empirical studies [12-14].
Although the existence of this Black-White and other immigrant children’s
learning gap is unquestionable, its origins remain the focus of considerable
debate among researchers and educators, as well as educational or social
welfare policy makers [7].
A lot of research works were helpful to
understand the depth of the influential paths of the learning performances of
ethnical and racial gaps. First, several researchers have found that gaps in
learning performance between ethnic or racial groups are probably associated
with the family learning resources and educational environment. These studies
have discovered that children from families with high socioeconomic status will
have better learning achievement than
families of low socioeconomic status and minority groups [4,7,15]. In addition,
family education resources (such as parents’ education involvement at home,
number of books, amount of leaning equipment, participation in after school or
long vacation learning activities, etc.), parenting style, and family
relationship have significant effect on the learning achievement gap of
children from different ethnical and racial [5,13,16-18]. In the whole, the
proportion of minority students from low socioeconomic status family is higher
than their non-minority count parts in many countries. Consequently, these
children might face more challenges and weakness in learning process and
outcomes associated with low family socioeconomic status.
Furthermore, the learning achievements
of ethnical or racial gaps might already be obvious at the preschool stage and
result in the dissimilarity of early learning resources or education
experience. Some studies have indicated that early education experience at the
preschool stage has significant influence on a young child’s cognitive skills,
and social and behavioral dimensions, as well as later academic achievement. If
children have good learning experiences and plentiful educational resources
during the preschool stage, it will positively affect their cognitive skill,
school outcomes, and development in future [8,19]. Moreover, [1] also found
that adolescents with better learning performance in early childhood had
greater growth in later academic achievements. In addition, when preschool
children had a good family learning environment, it benefited their cognitive
skill development during the preschool stage, improved their reading interest,
and self-education expectations. This consequence might further improve
children’s learning achievements, and these advantaged children had
considerably higher learning growth levels than children without such
advantages. Additionally, [20] also documented that the Black-White achievement
gap begins before the first grade, and the gap continues to grow as students’
progress through the school system. Lee and Burkham (2002) [21] also
illustrated that starting early in elementary school, ethnic minority children
experience a significant gap in their academic achievement relative to their
White compeers in the U.S.
Similar to Western research results,
Taiwan’s studies also found that minority children, such as aboriginal
groupshigher proportion from low-income families, lacked family educational
resources or have fewer opportunities to participate extra-curriculum
activities after school or in long vacation period at the elementary or
secondary education stage. This result would mean aboriginal children have
notably lower learning performances and achievements than their non-aboriginal
counterparts [5]. However, little researches has be done on “whether early
educational environment and experience have remarkable effects on children’s
later learning ethnical gap” until recently.
In addition, due to rapid changes in the
structure of the mating market over the last 20 years, numerous foreign females
from Mainland China and Southeast Asian nations (i.e. Indonesia, Vietnam,
Philippines, Cambodia, etc.) have immigrated into Taiwan via cross-national
marriage. These immigrants are officially called “the new inhabitants” in
Taiwan. Through agents, many males in Taiwan enter into cross-national
marriages with foreign females from remote districts or low-income families.
These Taiwanese males usually have low socioeconomic status or come from social
minority communities. Additionally, cross-national married couples might
encounter difficulties because power is not reciprocal with each other, or they
have great differences in cultures, values, educational attitudes, and
parenting styles. Consequently, children from cross-national marriage families
usually face many challenges and difficulties, including language barriers,
potential discrimination, changes in family and friend’s relationships, and
negotiating identity across two different culture [22-24]. All may
havedisadvantagesin their children’s learning performance and academic
achievement in the future, which is similar with the aboriginal students'
situation of learning dilemma in Taiwan. However, for some foreign mothers who
have better English competency and educational background, it is understandable
that they might be able to more involve in their children’s education and thus
shrink the learning disadvantages after they adapt to the local life, culture
and language.
Today, such new inhabitant children
account for a considerable portion of students in all levels of schools in
Taiwan, making it necessary for academic bodies, which are primarily concerned
with differences in students’ learning performances between aboriginals and
non-aboriginal groups, to adjust their focuses to include the new inhabitants
of cross-national marriage families. Although exploration of the learning
difficulties of the ethnical and cross-national marriage gap is valuable,
little details are known regarding the influential mechanism or the mediating
effect of early educational experience on the learning gaps between different
ethnic groups and cross-national marriage families. Furthermore, given a lack
of relevant research results for verification and dissimilar cultural contexts,
the discoveries and explanations of learning performance of the ethnical gap in
the West may not be entirely applicable in Taiwanese society, and thus, it is
necessary for this study to engage in further analysis and investigation.
2.
Hypotheses
Based on the above considerations, the
aims of the current study were to examine the relationships of early
educational experience and learning gaps (including cognitive skills at the
preschool stage and academic achievement at the 5th grade) between ethnical and
cross-national marriage groups in Taiwan. According to relative studies
[5,7,13,18,25,26] the assumption proposed in this study is that “aboriginal and
inhabitant children have poorer educational resources and environments at the
preschool stage due to poor family economic status, leaving them with poor
cognitive skills when they enter elementary school. Furthermore, aboriginal and
inhabitant children perform significantly poorer in academic achievements than
other non-aboriginal and non-inhabitant children in the 5th grade of elementary
education”. New inhabitant children, much like aboriginal children, may have no
advantages of family and learning environment when they study in kindergarten,
which is also disadvantageous to children’s cognitive skills and learning
achievements in the future. However, such hypothesis requires the confirmation
of further analysis.
In order to improve the learning
disadvantages of minority or new inhabitant students, promote educational
opportunities with equal footing, and carry out social justice, additional
support becomes the essential directions of many national education policies.
This study is based on an innovative, continuous, and integrative approach.
Results can contribute to the researcher’s examination of the adequacy of
Taiwan’s education and welfare policies for the disadvantaged.
3.
Method
3.1.
Participants
The analysis sample for this study
includes children come from Taiwan between age of 10 and 11 who had valid
questionnaire data and their semester achievement assessment at the time of the
survey in 2013. In total, there were 627 pieces of valid student and parent
data. Among the subjects, 45.4% were boys and 54.6% were girls. The family
finance conditions at the preschool stage of child were given 1-4 points
according to the level of wealth, and the mean was 2.66 (SD=0.50), which
indicated that most family finances were not bad.
3.2.
Measures
(Table 1) shows the design and scoring
methods for each variable in this study. All variables used in this study are
grounded into two types:
Student individual characteristics, such
as ethnicity, gender, and academic achievement.
Family background and characteristics,
including family financial conditions, and preschool family educational
resources.
Among them, some variables were listed
as having missing data because the answers were unsuitable, unclear, or the
meaning of the subject could not be discerned. However, since there were many
variables in current analysis, either list wise or pair wise deletion would
cause massive losses in the subjects, resulting in an enlarged sampling error,
the loss of useful information, a lower statistical test power, and a weakened
accuracy of the parameter estimation values. Therefore, this study used the
regression imputation method for data imputation.
3.3.
Analysis Strategy
We conducted regression-based analysis
to investigate the cognitive skills and achievement gap among children of
cross-ethnic or cross-national marriages and its influential mechanism. A
series of hierarchical regression analysis was used with different groups of
predictors in the analytical model, first with only ethnicity, then with
ethnicity and controls for children's gender, family financial conditions, and
preschool family educational resources, and finally with children's cognitive
skills at the preschool stage added. In this study, we hypothesize that, when family
background, and children’s personal characteristics are included, the remained
learning gap between minorities (included aboriginal, new inhabitants and
non-minorities) would be reduced when early educational environment and
experience is held constant. Namely, the main purpose of this study is to
examine the mediating pathways through which early educational experience
mediates the ethnic and cross-national marriage groups gap of students’
learning performance.
4.
Results
4.1.
Descriptive Analysis
(Table 2) shows the result of the
descriptive statistics of minority students (aboriginal children and those from
families of cross-cultural marriage) and non-minority students in Taiwan,
regarding the students’ gender, family financial conditions, family education
resources, preschool cognitive skills, and learning achievement in the 5th
grade. In the different groups, about 42-49% of the students were male
students, and about 51-58% were female. As to family financial conditions
(4-point scale), the non-minority families were wealthier (M= 3.11, SD=0.62),
while the aboriginal families tended to encounter financial difficulties (M=
2.57, SD=0.78). In addition, as to the offering of preschool family education
resources, families of cross-national marriage were the most helpless about
learning instruction. Aboriginal families lacked the preschool family education
resources, followed by families of cross-national marriage. Non-minority
families provided the richest family educational resources.
As to preschool cognitive skills,
non-minority children were the best (M= 7.48, SD=2.58), followed by children
from families of cross-national marriage, and the last were aboriginal children
(M= 5.04, SD=2.83). Finally, as to 5th grade learning achievement, the
non-minority children were significantly prominent, and the aboriginal students
showed the most inferior performance. Based on the analytical results of the
previous items, this study found that the non-minority students’ families were
significantly wealthier at the preschool stage, their families provided richer
learning resources and their cognitive skills was better. Their 5th grade
learning achievement was also more significant. Children from families of
cross-national marriage were the second highest regarding family education
resources and student learning performance. Children from aboriginal families
had the fewest resources and lowest learning performance.
4.2.
Multivariate Analysis
According to the theoretical framework
proposed by this study, after controlling for the effects of gender, family
financial conditions and family education resources, the researcher probed into
the differences between non-minority and minority children regarding preschool
cognitive skills and effect on 5thgraders’ learning achievement. Table 3 shows
the effects of the predictor variables on the students’ preschool cognitive
skills. Table 4 shows the effects of the predictor variables on 5th graders’
learning achievement. Table 5 is the analysis on mediating variables such as
family financial conditions and family education resources (as dependent
variables).
4.3.
Ethnical Differences in Preschool Cognitive Skills
In Model 1 of (Table 3), after including
students’ gender as a control variable, the researcher demonstrated that the
cognitive skills of children from families of cross-national marriage at the
preschool stage was significantly inferior to that of children from
non-minority families (B = -2.14, SE = 0.51, p <.05). The gap between
aboriginal children and non-minority children was even more significant (B =
-2.47, SE = 0.29, p <.05). In Model 2, family financial conditions were
included. It was found that when the families were wealthier, the children’s
cognitive skills were even better. In Model 1, the gap between the cognitive
skills of minority children from families of cross-national marriage and
aboriginal people at the preschool stage and that of non-minority children was
relatively reduced after including family financial conditions. However, it was
significantly lower than that for non-minority students (B = -1.97, SE = 0.51,
p <.05, and B = -2.05, SE = 0.30, p <.05). The explained variance (R Square)
of Model 2 reached 0.153. In Model 3, family education resources were included
as a mediating variable in order to estimate the effects of the variables on
preschool cognitive skills. According to the result, when the children studied
in a preschool and the parents spent more time studying with them, taking them
to art activities, or when the children studied in a preschool for more years
and learned more talent courses after school, their cognitive skills would be
better. However, the parents’ instruction and purchase of books did not
significantly influence the children’s preschool cognitive skills. In the
analytical model, after including preschool educational resources, the inferior
cognitive skills of children from families of cross-national marriage and from
aboriginal families was reduced (the B values were reduced from -1.97 and -2.05
to -1.48 and -1.34, respectively) by 24.87% and 34.63%. The result showed that
the minority children’s inferior preschool cognitive skills could be due to
their families providing fewer educational resources. In Model 3, the effect of
family financial conditions was reduced by 47.44% after including family
education resources. The result showed that the minority children had an
inferior cognitive skill at the preschool stage. The reason could be in that
their families were not wealthy and they lacked the educational resources for
learning. The variance of the model (R Square) was increased to 0.293.
4.4.
Ethnical Difference of 5th Grade Learning Achievement
In Model 1 of semester grades, as shown
in (Table 4), the students’ gender was included as a control variable.
According to the analytical result, among the minority children, the grades of
the children from families of cross-national marriage were not significantly
lower than those of the non-minority children. However, the aboriginal
students’ grades were significantly inferior to those of the non-minority
students (B = -5.84, SE =0.85, p <.05). In Model 2, family financial
conditions were included. The results demonstrated that family wealth
positively influenced the students’ semester grades in the fifth grade (B=2.10,
SE=0.47, p <.05), and the inferiority of the aboriginal students was reduced
(the B value was reduced to -4.17). In Model 3, family education resources were
included as a mediating variable, and the researcher examined the effects of
this variable on learning achievement. It was found that when parents purchased
more books, or when the children studied in a preschool for more years and
participated in more talent courses, their grades would be better. However, the
parents’ instruction, keeping the children company while studying, and taking
children to participate in art activities did not have a significant effect. In
addition, the positive effect of family wealth on students’ grades in the model
was reduced. The B value was reduced from 2.10 to 1.39. The inferiority of the
aboriginal students’ grades was also reduced, with the B lowered by 21.58% to
-3.27. The result suggested that the aboriginal students’ learning performance
was inferior to that of the non-minority students, and the reason could be that
their families were less wealthy and they lacked part of preschool family
education resources. This study further validated the mediating mechanism as
shown below.
In Model 4 of semester grades, as shown
in (Table 4) this study tried to find if preschool cognitive skills played a
mediating role in the group differences for learning achievement. First, it was
found that cognitive skills positively influenced grades (B = 0.67, SE =0.12, p
<.05). The effects of coming from an aboriginal family, family wealth, and
preschool family education resources were lowered after including cognitive
skills. For instance, the gap between the grades of aboriginal students and those
of non-minority students was reduced from 3.27 to 2.38. The result showed that
preschool cognitive skills was a moderator in the effect mechanism of the group
difference for the semester grades.
This study further explored the
students’ grades in Chinese, mathematics, society and science. The findings
were similar to the analytical results of the models for the total semester
grades of different models. Only the Mediators
Subsequently, this study tried to
clarify the role of family financial conditions and preschool family education
resources on preschool cognitive skills and the effect mechanism of group
differences in elementary learning achievement. In the analysis, the mediating
variables were all treated as dependent variables, and the analysis was based
on multiple regression.
As shown in (Table 5), it was found that
aboriginal families were significantly less wealthy (B = -0.54, SE =0.07, p
<.05). Table 5 also demonstrates that in Model 1 of instruction, company of
study, purchase of books, art activities, years in preschool and talent
courses, the aboriginal families were significantly inferior to the
non-minority families. In Model 2 of the previous preschool family education
resources, this study included family financial conditions and demonstrated
that when the children’s families were wealthier, they would provide richer
family education resources. After including family financial conditions in the
analysis, the aboriginal students’ preschool family resource inferiority was
reduced. The result showed that the aboriginal students’ preschool educational
resources were fewer because their families were less wealthy. In the analysis
of Table 3, it was found that when the families were wealthier, their preschool
family education resources would be richer and the children’s preschool
cognitive skills would be more significant. Better preschool cognitive skills
was the key factor for better learning achievement in the 5th grade. Based on
the analytical results of Tables 3, 4, and 5, this study concluded that in
comparison to non-minority students, the aboriginal students tended to come
from poor families, and they significantly lacked family educational resources.
Hence, their preschool cognitive skills were inferior. When they were in the
5th grade, their learning achievement was significantly inferior to that of the
non-minority students.
5.
Conclusion and Discussion
Issues related to learning achievement
difference have been highly concerned by many researchers, and study on the
ethnic gap of student achievement is an important research topic in
multicultural societies [6,10,12]. In Taiwan, some studies have demonstrated
that the educational achievement of aboriginal children is significantly
inferior to that of non-minority children. However, the factors for this
difference require further exploration. In addition, in the last 20 years,
males with inferior social and economic status in Taiwan have tended to marry
females from the countries of Southeast Asia and from rural China. The
percentage of cross-national marriage has increased in Taiwan, and more of
their children have entered schools. Although these children are still the
minority, the percentage is growing. Taiwan lacks research findings on the
comparison of the learning gap between children fromfamilies of cross-ethnic
group/national marriage, and more exploration is required. Moreover, since the
type of cross-national marriage in Taiwan is unique, findings of foreign
studies may not apply. Does the effect of cross-ethnic group/national marriage
on learning exist in childhood? Will it influence the later learning
achievement? These questions represent an important research gap which should
be supplemented, and the results could serve as a reference for multicultural
educational policies, instructional practice, or equal educational
opportunities.
This study found that aboriginal
students had a significant gap with non-minority students regarding preschool
cognitive skills and learning achievement in the 5th grade. The main reason was
that when aboriginal students were in preschool, they lacked family educational
resources which caused their preschool cognitive skills to become inferior, and
which negatively influenced their learning achievement in the 5th grade. Based
on the previous findings, the amount of preschool educational resources
significantly and continuously influenced the learning performance [5,8,19].
The aboriginal students were considerably inferior, which showed that it is
necessary for the government of Taiwan to be concerned about aboriginal
students at different educational stages and provide more effective educational
resources [5].
Noticeably, compared to non-minority
children, the children from families of cross-national marriage had
insufficient preschool educational resources, such as parents’ company and
talent courses. Their preschool cognitive skills were considerably lower than
that of non-minority children. This finding obviously showed that high quality
early educational experience and care have important effects to narrow the
learning ethnical gap, thereby partly supporting the research results from some
Western countries [7,19,20] and the research hypothesis of this study.
However, at 5th grade, the learning
achievements of children from families of cross-national marriage were not
significantly different from that of the non-minority students. This suggests
that the learning inferiority of the children from families of cross-national
marriage at the early stage would be reduced with the increase of age. Only
learning performance during childhood was significantly inferior. Therefore,
the phenomenon of mothers from countries with inferior economies negatively
influencing their children’s learning should not be exaggerated. In families of
cross-national marriage, the mothers spend years to obtain I.D. cards and jobs,
and they share the family’s financial burden. Many mothers from Southeast Asia
have difficulty in assisting with their children’s learning since they are not
fluent in Mandarin. Even Chinese spouses who are exposed to the same culture
and customs encounter the problem of cultural adaption. When fathers undertake
the financial burden of the family, mothers should be responsible for their
children’s education. However, immigrate mothers always have difficulty in
cultural and language adaption and they have fewer resources [23,24]. Their
children’s early learning inferiority is understandable. Nevertheless, with the
progress of time, foreign spouses begin to fit into society and have fewer
language difficulties. Since they are mostly well educated, after obtaining
I.D. cards, they can considerably improve the family’s finances by working.
They can also provide their children with more learning resources. Some spouses
from Southeast Asia (i.e. Philippines) have the advantage of English
proficiency than local parents, which might enhance their children’s English
achievement. In addition, with the active assistance of minority support
polices and measures in Taiwan, the learning inferiority of children from
families of cross-national marriagecan be reduced.
According to findings of this study, the
learning inferiority of the children from families of cross-national marriage
exists at the preschool stage. If children can be assisted at this time, this
inferiority will be reduced faster. For instance, it could be possible to
reduce the time needed for foreign mothers to acquire I.D. cards and rights of
employment. This would not only improve the family financial situation but also
allow them to fit into Taiwan society by enhancing their relationships with
colleagues and friends at work. It could also help them obtain information
related to their children’s education and parenting. Institutions for foreign
spouses could design growth and support network courses that would allow them
to fit into society sooner and reduce their children’s learning inferiority. It
seems that aboriginal students’ learning performance is continuously inferior,
and that welfare and educational policies related to aboriginal students and
families are ineffective. They should be modified and improved.
6.
Limited and Further Research
|
Variable |
Description |
Metric |
|
Ethnicity |
This measure is divided into three categories: Non-minorities, aboriginals (Minorities), and cross-national marriages (Minorities). |
Non-minorities = 0 (as reference category) |
|
Child's gender |
What is the child’s gender? |
1=boy 0=girl (as reference category) |
|
Family finance condition |
What is the financial condition of the family when the child studied in the 5th grade? |
Items range from 1 to 4. |
|
4=Wealthy families, 1=poor families |
||
|
Family finance condition |
What is the financial condition of the family when the child studied in the 5th grade? |
Items range from 1 to 4. |
|
4=Wealthy families, 1=poor families |
||
|
Instruction of learning |
How often did you or your spouse teach the child to learn new knowledge at home before entering primary school? |
Items ranged from 1 to 4. |
|
4=everyday, 1=hardly ever |
||
|
Company during study |
How often did you or your spouse sit with the child to study before entering primary school? |
Items ranged from 1 to 4. |
|
4=everyday, 1=hardly ever. |
||
|
|
||
|
Purchases of books |
How often did you or your spouse purchase books for your child to read before entering primary school? |
Items ranged from 1 to. |
|
|
4=very often, 1=hardly ever. |
|
|
|
||
|
Art activities |
How often did you or your spouse allow your child take part in art activities before entering primary school? |
Items ranged from 1 to 4. |
|
4= very often, 1= hardly ever. |
||
|
Years in preschool |
How many years did your child study in preschool before entering primary school? |
0=lowest years; 5=highest years |
|
Talent courses |
How many talent courses did your child participate in before entering primary school? |
There are 11 items applied to the measurement of talent courses, as based on multiple choice. Such as “foreign language”, “dancing”, “music”, “writing”, etc. The respondents check the items and add them up to understand the participating situation in talent courses. A large value indicates that the young child has more opportunity to learn various talent courses. |
|
Preschool cognitive skills |
Before elementary school, how did your child perform in the following? |
There are 11 items applied to the measurement of cognitive skills, as based on multiple choice. They included “Could the child do easy arithmetic, recognize Chinese phonetic symbols or simple Chinese characters, recognize English letters, distinguish colors, shapes, and sizes, memorize poems of the Three Character Classics”, etc. The respondents checked the items and add them up to understand the preschool performance in the cognitive skills of toddlers. A large value indicates that the toddler has strong cognitive skills. |
|
Academic achievement |
The achievement estimation values from the semester grades (including Chinese, math, social studies, and science) in 5th grade students’ survey in May 2013. |
The learning achievements of each subject differ according to different scoring criteria in each class. Therefore, taking a class as a group, this study standardized students’ learning achievements; then made linear transformation in scores where the mean value is 85 and the standard deviation is 4. |
Table 1: Variable Measurement.
|
Ethnicity |
Non-minorities |
Minorities (aboriginal) |
Minorities (Cross-national marriages) |
|||||||||
|
Variable |
N |
% |
Mean |
SD |
N |
% |
Mean |
SD |
N |
% |
Mean |
SD |
|
Student's gender |
||||||||||||
|
Boy |
244 |
48.9 |
42 |
42 |
13 |
46.4 |
||||||
|
Girl |
255 |
51.1 |
58 |
58 |
15 |
53.6 |
||||||
|
Family financial status |
499 |
3.11 |
0.62 |
100 |
2.57 |
0.78 |
28 |
2.89 |
0.5 |
|||
|
Instruction of learning |
499 |
3.03 |
1.02 |
100 |
2.75 |
1.11 |
28 |
2.71 |
1.12 |
|||
|
Company of study |
499 |
3.04 |
0.78 |
100 |
2.7 |
0.89 |
28 |
2.75 |
0.84 |
|||
|
Purchase of books |
499 |
2.59 |
0.93 |
100 |
1.78 |
0.9 |
28 |
2.29 |
1.15 |
|||
|
Art activities |
499 |
2.28 |
0.88 |
100 |
1.84 |
0.89 |
28 |
2.07 |
1.05 |
|||
|
Years in preschool |
499 |
2.56 |
0.91 |
100 |
2.15 |
1.04 |
28 |
2.36 |
1.09 |
|||
|
Talent courses |
499 |
2.04 |
1.43 |
100 |
1.15 |
0.59 |
28 |
1.32 |
0.98 |
|||
|
Preschool cognitive capacity |
499 |
7.48 |
2.58 |
100 |
5.04 |
2.83 |
28 |
5.36 |
3.19 |
|||
|
Chinese grades |
499 |
84.96 |
9.69 |
100 |
81.88 |
9.72 |
28 |
85.09 |
8.86 |
|||
|
Math grades |
499 |
85.63 |
9.09 |
100 |
81.14 |
11.85 |
28 |
83.21 |
11.07 |
|||
|
Social grades |
499 |
85.49 |
9.59 |
100 |
81.15 |
311 |
28 |
83.79 |
11.05 |
|||
|
Science grades |
499 |
85.9 |
9.15 |
100 |
78.19 |
11.17 |
28 |
84.79 |
9.69 |
|||
|
English grades |
499 |
86.59 |
8.1 |
100 |
77.57 |
11.17 |
28 |
86.05 |
5.74 |
|||
|
Semester grades |
499 |
85.79 |
7.49 |
100 |
79.99 |
8.72 |
28 |
84.58 |
7.78 |
|||
Table 2: Descriptive Statistics for Gender, Family Background, Preschool Family Education Resources, and Children's Academic Achievements by Ethnicity.
|
Preschool cognitive skills |
Preschool cognitive skills |
Preschool cognitive skills |
|
|
Model 1 |
Model 2 |
Model 3 |
|
|
|
B (SE) |
B (SE) |
B (SE) |
|
Non-minority (reference) |
|
|
|
|
Cross-national marriage |
-2.14(0.51) ** |
-1.97(0.51) ** |
-1.48(0.47) ** |
|
Aboriginal |
-2.47(0.29) ** |
-2.05(0.30) ** |
-1.34(0.29) ** |
|
Boy |
-0.37(0.21) |
-0.39(0.21) |
-0.30(0.19) |
|
Girl(reference) |
|
|
|
|
Family financial status |
|
0.78(0.16) ** |
0.41(0.15) ** |
|
Instruction of learning |
|
|
0.13(0.11) |
|
Company of study |
|
|
0.44(0.15) ** |
|
Purchase of books |
|
|
0.23(0.13) |
|
Art activities |
|
|
0.46(0.14) ** |
|
Years in preschool |
|
|
0.28(0.11) ** |
|
Talent courses |
|
|
0.24(0.08) ** |
|
R2 |
0.121 |
0.153 |
0.293 |
|
N |
627 |
627 |
627 |
|
* p < .05 ** p < .01 |
|||
Table 3: The Effect of Ethnicity, Family Background, and Preschool Family Education Resources on Preschool Cognitive Capacity.
|
Semester grades (1) |
Semester grades (2) |
Semester grades (3) |
Semester grades (4) |
Chinese grades(1) |
Chinese grades(2) |
Chinese grades(3) |
Chinese grades(4) |
|
|
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
|
|
Non-minority (reference) |
||||||||
|
Cross-national marriage |
-1.21(1.49) |
-0.76(1.48) |
0.05(1.45) |
1.03(1.43) |
0.07(1.86) |
0.49(1.85) |
1.27(1.83) |
2.22(1.82) |
|
Aboriginal |
-5.84(0.85) ** |
-4.71(0.87) ** |
-3.27(0.89) ** |
-2.38(0.89) ** |
-3.25(1.05) ** |
-2.20(1.09) * |
-0.61(1.12) |
0.25(1.13) |
|
Boy |
-0.54(0.62) |
-0.57(0.61) |
-0.42(0.59) |
-0.22(0.58) |
-2.51(0.77) ** |
-2.54(0.79) ** |
-2.37(0.75) ** |
-2.17(0.74) ** |
|
Girl(reference) |
|
|
|
|
|
|
|
|
|
Family financial status |
|
2.10(0.47) ** |
1.39(0.47) ** |
1.12(0.47) * |
|
1.94(0.59) ** |
1.17(0.60) * |
0.91(0.60) |
|
Instruction of learning |
|
|
-0.18(0.33) |
-0.27(0.32) |
|
|
-0.26(0.41) |
-0.35(0.41) |
|
Company of study |
|
|
0.28(0.45) |
0.02(0.45) |
|
|
-0.20(0.57) |
-0.48(0.57) |
|
Purchase of books |
|
|
0.97(0.39) * |
0.81(0.39) * |
|
|
1.30(0.50) ** |
1.15(0.49) * |
|
Art activities |
|
|
0.36(0.42) |
0.05(0.41) |
|
|
0.59(0.53) |
0.30(0.53) |
|
Years in preschool |
|
|
0.77(0.33) * |
0.58(0.32) |
|
|
0.83(0.41) * |
0.64(0.41) |
|
Talent courses |
|
|
0.56(0.25) * |
0.40(0.25) |
|
|
0.55(0.32) |
0.39(0.32) |
|
Preschool cognitive capacity |
0.67(0.12) ** |
0.64(0.16) ** |
||||||
|
R2 |
0.071 |
0.1 |
0.15 |
0.189 |
0.03 |
0.047 |
0.089 |
0.113 |
|
N |
627 |
627 |
627 |
627 |
627 |
627 |
627 |
627 |
|
* p < .05 ** p < .01 |
||||||||
|
|
Math grades (1) |
Math grades (2) |
Math grades (3) |
Math grades (4) |
Social grades (1) |
Social grades (2) |
Social grades (3) |
Social grades (4) |
|
|
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
|
Non-minority (reference) |
|
|
|
|
|
|
|
|
|
Cross-national marriage |
-2.39 (1.88) |
-2.06 (1.87) |
-1.33(1.87) |
-0.29(1.86) |
-.169 (1.90) |
-1.18(1.88) |
-0.35 (1.87) |
0.64(1.86) |
|
Aboriginal |
-4.42(1.06) ** |
-3.59(1.10) ** |
-2.42(1.14) * |
-1.47(1.15) |
-4.32(1.07) ** |
-3.05(1.11) ** |
-1.81(1.15) |
-0.92 (1.15) |
|
Boy |
1.11(0.77) |
1.09 (0.77) |
1.24(0.77) |
1.45(0.76) |
0.31(0.78) |
0.27(0.77) |
0.42(0.77) |
0.62(0.76) |
|
Girl(reference) |
|
|
|
|
|
|
|
|
|
Family financial status |
|
1.53(0.60) ** |
0.86(0.61) |
0.57(0.61) |
|
2.36(0.60) ** |
1.71(0.61) * |
1.43(0.61)* |
|
Instruction of learning |
|
|
-0.36(0.42) |
-0.45(0.42) |
|
|
-0.15(0.42) |
-0.24(0.42) |
|
Company of study |
|
|
0.43(0.59) |
0.12(0.58) |
|
|
0.66(0.59) |
0.37(0.58) |
|
Purchase of books |
|
|
0.54(0.51) |
0.37(0.50) |
|
|
0.61(0.51) |
0.45(0.50) |
|
Art activities |
|
|
0.51(0.54) |
0.18(0.54) |
|
|
0.45(0.54) |
0.26(0.54) |
|
Years in preschool |
|
|
0.58(0.42) |
0.38(0.42) |
|
|
0.65(0.42) |
0.46(0.42) |
|
Talent courses |
|
|
0.64(0.33) * |
0.47(0.32) |
|
|
0.69(0.33)* |
0.54(0.32) |
|
Preschool cognitive capacity |
|
|
|
0.71(0.16) ** |
|
|
|
0.67(0.16) ** |
|
R2 |
0.032 |
0.042 |
0.069 |
0.098 |
0.026 |
0.050 |
0.077 |
0.103 |
|
N |
627 |
627 |
627 |
627 |
627 |
627 |
627 |
627 |
|
* p < .05 **p < .01 |
||||||||
|
|
Science grades (1) |
Science grades (2) |
Science grades(3) |
Science grades (4) |
English grades (1) |
English grades (2) |
English grades (3) |
English grades (4) |
|
|
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
|
Non-minority (reference) |
|
|
|
|
|
|
|
|
|
Cross- national marriage |
-1.10 (1.87) |
-0.55(1.85) |
0.22 (1.83) |
1.23(1.82) |
-0.95(1.67) |
-0.49(1.66) |
0.43(1.63) |
1.39(1.62) |
|
Aboriginal |
-7.68(1.06) ** |
-6.30(1.09) ** |
-4.87(1.12) ** |
-3.95 (1.12) ** |
-9.52(0.95) ** |
-8.38(0.98) ** |
-6.67(0.99) ** |
-5.81(0.99) ** |
|
Boy |
0.52(0.77) |
0.48(0.76) |
0.59(0.75) |
0.80(0.74) |
-2.14(0.69) ** |
-2.17(0.68) ** |
-1.99(0.67) ** |
-1.80(0.66) ** |
|
Girl(reference) |
|
|
|
|
|
|
|
|
|
Family financial status |
|
2.55(0.59) ** |
1.88(0.60) ** |
1.61(0.59) ** |
|
2.12(0.53) ** |
1.32(0.53) * |
1.07(0.53) * |
|
Instruction of learning |
|
|
0.81(0.41) |
-0.01(0.41) |
|
|
-0.20(0.37) |
-0.28(0.36) |
|
Company of study |
|
|
0.44(0.57) |
0.14(0.57) |
|
|
0.06(0.51) |
-0.22(0.51) |
|
Purchase of books |
|
|
0.97(0.50) * |
0.81(0.49) |
|
|
1.42(0.44) ** |
1.27(0.44) ** |
|
Art activities |
|
|
0.72(0.53) |
0.41(0.52) |
|
|
-0.07(0.47) |
-0.36(0.46) |
|
Years in preschool |
|
|
0.87(0.41) * |
0.67(0.41) |
|
|
0.92(0.37) * |
0.74(0.36) * |
|
Talent courses |
|
|
0.17(0.32) |
0.01(0.32) |
|
|
0.76(0.28) ** |
0.61(0.28) * |
|
Preschool cognitive skills |
|
|
|
0.68(0.16) ** |
|
|
|
0.64(0.14) ** |
|
R2 |
0.08 |
0.107 |
0.144 |
0.17 |
0.148 |
0.169 |
0.217 |
0.243 |
|
N |
627 |
627 |
627 |
627 |
627 |
627 |
627 |
627 |
|
* p < .05 **p < .01 |
||||||||
Table 4: The Effect of Ethnicity, Family Background, Preschool Family Education Resources, and Preschool Cognitive Skills on 5th Grade Learning Achievement..
|
|
Family financial status |
Instruction of learning (1) |
Instruction of learning (2) |
Company of study (1) |
Company of study (2) |
Purchase of books (1) |
Purchase of books (2) |
|
|
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
|
Non-minority (reference) |
|
|
|
|
|
|
|
|
Cross-national marriage |
-0.22(0.13) |
-0.31(0.20) |
-0.31(0.20) |
-0.29(0.16) |
-0.26(0.16)** |
-0.31(0.18) |
-0.26(0.18) |
|
Aboriginal |
-0.54(0.07)** |
-0.28(0.11)* |
-0.26(0.12) * |
-0.35(0.09)** |
-0.26(0.09)** |
-0.82(0.10)* |
-0.68(0.11)* |
|
Boy |
0.02(0.05) |
-0.03(0.08) |
-0.03(0.08) |
-0.02(0.06) |
-0.02(0.06) |
-0.06(0.08) |
-0.06(0.07) |
|
Girl(reference) |
|
|
|
|
|
|
|
|
Family financial status |
|
|
0.03(0.06) |
|
0.16(0.05)** |
|
0.25(0.06)** |
|
R2 |
0.087 |
0.012 |
0.012 |
0.028 |
0.004 |
0.094 |
0.012 |
|
N
|
627 |
627 |
627 |
627 |
627 |
627 |
627 |
|
|
Art activities (1) |
Art activities (2) |
Years in preschool (1) |
Years in preschool (2) |
Talent courses (1) |
Talent courses (2) |
|
|
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
B(SE) |
||
|
Non-minority (reference)
|
|
|
|
|
|
|
|
|
Cross-national marriage
|
-0.22(0.17) |
-0.17(0.17) |
-0.20(0.18) |
-0.17(0.18) |
-0.72(0.26)** |
-0.62(0.25)* |
|
|
Aboriginal
|
-0.45(0.10)** |
-0.33(0.10)** |
-0.41(0.10)* |
-0.33(0.11)* |
-0.90(0.14)** |
-0.66(0.15)** |
|
|
Boy
|
-0.05(0.07) |
-0.05(0.07) |
0.03(0.08) |
0.03(0.08) |
-0.16(0.11) |
-0.17(0.10) |
|
|
Girl(reference)
|
|
||||||
|
Family financial status
|
0.22(0.05)** |
0.14(0.06)* |
0.44(0.08)** |
|
|||
|
R2 |
0.034 |
0.006 |
0.034 |
0.033 |
0.068 |
0.113 |
|
|
N
|
627 |
627 |
627 |
627 |
627 |
627 |
|
|
* p < .05 ** p < .01 |
|||||||
Table 5: The Effect of Ethnicity, Student's Gender, and Family Financial Status on Preschool Family Educational Resources.
- Lin CY, Chen CH (2015) Early childhood family learning environment’s influence on adolescent learning achievement in Taiwan. Australasian Journal of Early Childhood 40: 20-29.
- Henry CS, Merten MJ, Plunkete SW, Sands T (2008) Neighborhood, parenting, and adolescent factors and academic achievement in Latino adolescents from immigrant families. Family Relations 57: 579-590.
- Annunziata D, Hogue A, Faw L, Liddle H (2006) Family functioning and school success in at-risk, inner-city adolescents. Journal of Youth and Adolescence 35: 105-113.
- Jansen EPWA, Bruinsma ME (2015) Explaining achievement in higher education. Educational Research and Evaluation11: 235-252.
- Lin CY, Hsieh YH, Chen CH (2015) Use of latent growth curve modeling for assessing the effects of summer and after-school learning on adolescent students' achievement gap. Asia Pacific Education Review 16: 49-61.
- Brown-Jeffy S (2009) School effects: Examining the race gap in mathematics achievement. Journal of Africa- American Study 13: 388-405.
- Burchinal M, McCartney K, Steinberg L, Crosnoe R, Friedman SL, et al. (2011) Examining the black-white achievement gap among low-income children using the NICHD study of early child care youth development. Child Development 82: 1404-1420.
- Burchinal MR, Vandell DL, Belsky J (2014) Is the prediction of adolescent outcomes from early child care moderated by later maternal sensitivity? Results from the NICHD study of early child care and youth development. Development Psychology 50: 542-553.
- Pilkauskas NV (2014) Living with a grandparent and parent in early childhood: Associations with school readiness and differences by demographic characteristics. Developmental Psychology 50: 2587-2599.
- Rowley R, Wright DW (2011) No White child left behind: The academic achievement gap between black and white students. The Journal of Negro Education 80: 93-107.
- Fryer RG, Levitt SD (2004) Understanding the Black-White test score gap in the first two years of school. The Review of Economics and Statistics 86: 447-464.
- Alexander K, Entwisle D, Olson L (2007) Lasting consequences of the summer learning gap. American Sociological Review 72: 167-180.
- Kuan PY (2011) Effects of cram schooling on mathematics performance: evidence from junior high students in Taiwan. Comparative Education Reviews 55: 342-368.
- Tynkkynen L,Vuori J, Salmela-Aro K (2012) The role of psychological control, socioeconomic status and academic achievement in parents' educational aspirations for their adolescent children. European Journal of Developmental Psychology 9: 695-710.
- Sandefur GD, Meier AM, Campbell ME (2006) Family resources, social capital, and college attendance. Social Science Research 35: 525-553.
- Raver CC, Gershoff EF, Aber JL (2007) Testing equivalence of mediating models of income, parenting, and school readiness for White, Black, and Hispanic children in a national sample. Child Development 78: 96 -115.
- Tsai MH, Liu FY (2013) Multi-group structural equation approach: Examine the relationship among family socioeconomic status, parent-child interaction, and academic achievement using TASA samples. International Journal of Intelligent Technologies and Applied Statistics 6: 353-373.
- Zadeh YZ, Farnia F, Ungerleider C (2010) How home enrichment mediates the relationship between maternal education and children’s achievement in reading and math. Early Education and Development 21: 568-594.
- Dearing E, McCartney K, Taylor BA (2009) Does higher quality early child care promote low-income children’s math and reading achievement in middle childhood? Child Development 80: 1329-1349.
- Bali VA, Alvarez RM (2004) The race gap in student achievement scores: longitudinal evidence from a racially diverse school district. The Policy Studies Journal 32: 393-415.
- Lee V, Burkham D (2002) Inequality at the starting gate: social background differences in academic achievement as children begin school. Economic Policy Institute, Washington DC.
- Costigan CL, Koryzma CM, Hua JM, Chance LJ (2010) Ethnic identity, achievement, and psychological adjustment: Examining risk and resilience among youth from immigrant Chinese families in Canada. Cultural Diversity and Ethnic Minority Psychology 16: 264-273.
- Suarez-Orozco C, Suarez-Orozco MM (2001) Children of immigration. Harvard University Press, Cambridge, MA.
- Wang S, Lo L (2004) Chinese immigrants in Canada: Their changing composition and economic performance. Policy Matters, No. 10, produced by the Joint Centre of Excellence for Research on Immigration and Settlement–Toronto (CERIS).
- Herman MR (2009) The Black-White-Other Achievement gap: Testing theories of academic performance among multiracial and mono-racial Adolescents. Sociology of Education 82:20-46.
- Pong SL, Landale NS (2012) Academic achievement of legal immigrants’ children: The roles of parents’ pre- and post-migration characteristics in origin-group differences. Child Development 83: 1543-1559.
- Goldsmith PA (2004) School's racial mix, students' optimism, and the Black-White and Latino-White achievement gaps. Sociology of Education 77: 121-147.
© by the Authors & Gavin Publishers. This is an Open Access Journal Article Published Under Attribution-Share Alike CC BY-SA: Creative Commons Attribution-Share Alike 4.0 International License. Read More About Open Access Policy.