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Purpose – This chapter focuses on the family and school influences on the achievement gaps in math and reading by gender, race, and nativity.

Methodology – With the longitudinal data from the National Education Longitudinal Studies, this chapter uses panel data technique to model for the changes of the achievement from the three time points of observation, 8th grade, 10th grade, and 12th grade. This study proposes the concept of “low-level constrained curriculum” to characterize the curriculum structure that leads to the universal low level of course taking among students within the same school.

Findings – The analysis shows that this kind of curriculum structure has the most damaging effect on individual students' math achievement outcomes. For the analysis on parental involvement, the results show that school involvement is more effective than home involvement for math achievement, but not for reading. Domain-specific parental involvement is more important than general parental involvement for both math and reading. These findings have important theoretical and policy implications.

This study aims to better understand how students’ academic strains and multilevel strengths relate to their math achievement, with a particular emphasis on underrepresented students of color and girls given the need to broaden science, technology, engineering and math (STEM) participation for these groups.

National Education Longitudinal Study of 1988 data was used for a historical examination of the various student academic strains and multilevel strengths that relate to math achievement in high school. T-tests and chi-square tests were conducted to examine differences in strains and strengths across policy-relevant student subgroups. Ordinary least squares (OLS) regression was used to examine how students’ strains and strengths related to their math achievement and the relative importance of each of these factors.

The findings suggest that both the academic strains and multilevel strengths that students’ experience in middle school are related to their high school math achievement and the prevalence of these factors varies across different policy-relevant student subgroups. Furthermore, the relative importance of these factors on achievement differs.

Studies which focus on either students’ academic challenges or their adaptive strengths fall short of a more nuanced discussion about how both factors relate to math outcomes. This study addresses this limitation and emphasizes that stakeholders who are interested in STEM diversity should consider holistic strategies for alleviating gender and racial/ethnic discrepancies in secondary math achievement.

The purpose of this paper is to examine the relationship between high school students' curricular positions, their perceptions of the quality of their teachers, and school academic process variables on students' growth rates and ending achievement in mathematics and science.

Multilevel latent curve modeling is used to examine students' growth trajectories using the National Longitudinal Educational Study data.

Within schools, both student curricular positions and perceptions of teacher quality affect growth and achievement. More positive student perceptions of their teachers ascending across course profiles are found. The effects of perceived teacher quality on growth rates and ending achievement, however, are more consequential for students in weaker academic profiles than in stronger profiles. Between schools, academic process variables also influence outcomes. For example, individuals in schools where students collectively pursue more math and science have significantly higher growth rates than individuals in schools where lower percentages of students take these courses.

The paper's measures of teacher quality and curricular differentiation only serve as proxy measures for more thorough information that can be collected about within‐school teacher and curricular processes.

The results imply that efforts to increase student achievement will have to attack individual (e.g. poverty; early educational experiences; and course taking) and organizational (i.e. school structural redesign, curricular, and instructional processes) fronts simultaneously.

This paper extends the discussion of how internal curricular differentiation and student perceptions about teacher quality may intersect to influence student growth trajectories within and between schools.

Why do girls and women progressively opt out of maths‐related study and careers? This study aims to examine motivations influencing female adolescents' choices for maths participation during high school, which has implications for their long‐term careers.

Two longitudinal samples were included from different contexts – one from Sydney, Australia (N=459), and the other from Southeastern Michigan, USA (N=266). Both samples involved adolescents from upper middle‐class backgrounds, from coeducational government schools, and data in both settings were collected in the mid 1990s. Australian data spanned a three‐year period through grades 9 to 11; while the US sample spanned a five‐year period, with data from grades 8, 10, 11, and 12. The Expectancy‐Value model of Eccles (Parsons) et al., framed structural equation modelling analyses for the influences of maths ability‐related beliefs and values on boys' and girls' subsequent choices for senior high maths participation.

Boys selected higher levels of maths than girls in the Australian setting, although not in the US sample. There was no support for gendered maths achievement as a basis for gendered maths participation. Interest in and liking for maths were the strongest influence on the Australian adolescents' choices for maths participation, with ability beliefs also influencing choices over and above prior mathematical achievement. Ability‐related beliefs and different kinds of values also predicted adolescents' choices in the US sample, more strongly for girls than boys.

Interpretations and implications focus on ways to increase girls' and women's retention in the leaky maths pipeline.

Longitudinal data allow one to determine the extent to which different kinds of motivations predict boys' and girls' mathematical course‐taking through senior high school across Australian and US samples. This has implications for their long‐term careers.

This investigation was intended to examine the relationship among perceived competence, anxiety, and mathematical and verbal achievement in a population of male and female Italian middle school students. One hundred and eighty students were administered measures of trait anxiety, and measures of state anxiety were administered immediately prior to administering achievement tests in math and literature. In addition, students were administered six subscales of a perceived competence scale. Analyses of these data yielded a moderate negative correlation between mathematics achievement and state anxiety for the math test, and a descriptively smaller negative correlation between the literature scores and state anxiety for the literature test. Significant correlations were also observed between achievement and perceived competence for academic ability. The two state anxiety measures were found to be highly correlated; however, trait anxiety was not statistically related to academic achievement in either math or literature. A moderate negative correlation was observed between perceived competence for academic ability and state anxiety for math and a somewhat lower correlation between perceived competence for academic ability and literature achievement. Males scored higher than females on the test of trait anxiety; however, females and males did not differ on any other anxiety or academic measures, including perceived competence for academic ability, math achievement, or literature achievement. Implications for future research are discussed.

Self-regulation is defined as strategic, metacognitive behavior, motivation and cognition aimed at a goal (Zimmmerman and Schunk, 2011). Co-regulation, arguably more aligned with norms in communal cultures, is the process of learners sharing “a common problem-solving plane” through which self-regulatory strategies are learned (Hadwin and Oshaige, 2011, p.247). This paper aims to investigate the impact of co-regulation on self-regulation and math achievement for culturally diverse students.

This empirical study used structural equation modeling framework to estimate the effects of co-regulation on self-regulation and math achievement, as measured by the statewide-standardized test. Surveys measuring students’ use of co-regulatory and self-regulatory strategies and standardized math test scores were collected from 625 seventh- and eighth-grade students in a suburban district outside a southeastern urban center in the 2011-2012 academic year.

Results indicated that co-regulation is positively and significantly related to self-regulation strategy use among students in the sample. Self-regulation and co-regulation were positively related to math achievement. Data suggest the modeled relationship of co-regulation, self-regulation and achievement may vary by ethnic group.

A large body of literature documents the impact of self-regulation on student achievement, although there is less focus on students of color. This work expands that body of literature by examining co-regulation as a predictor of self-regulation and its mediated effects on student achievement for students of color.

Social psychological perspectives on educational stratification offer explanations that bridge the macro and micro social worlds. However, while ethnoracial disparities in academic achievement are evident during the earliest grade levels, most social psychological research in this area has examined high school or college student samples and has used a black–white binary to operationalize race.

We use longitudinal structural equation models to examine links between academic self-efficacy beliefs and school performance among a national sample of diverse third- through eighth-grade students in the United States.

Contrary to hypotheses derived from the student identity literature, we find no evidence that elementary and middle school students from different ethnoracial backgrounds vary in the degree to which they selectively discount evaluative feedback in their academic self-efficacy construction, nor in the extent to which they demonstrate disrupted links between academic self-efficacy and subsequent academic performance.

The study examines the extent to which race-linked social psychological processes may be driving academic achievement inequalities during the primary schooling years.

The purpose of this study was to examine whether the levels of cultural intelligence (CQ) of principals and teachers influence Latino students’ achievement. The study first tested the applicability of Ang and Van Dyne’s (2008) Cultural Intelligence Questionnaire (CQS) for the measurement of principals and teachers’ CQ levels by construct validating this instrument. Later, it investigated whether the CQ levels of principals and teachers explain the achievement levels of Latino students in mathematics and language arts.

A naturalistic relational research design was used to study the relationships between the study variables. Participants included a cluster random sample of 86 principals and 311 teachers in a southern state. The convergent validation was used to establish the construct validity of the CQS by correlating CQS subscale scores with several measures of principal and teacher multicultural exposure. A series of hierarchical multiple regression analyses were conducted to investigate the association between the principal and teacher CQS subscale scores and the Latino student achievement scores on state standardized tests.

The four-factor structure of the CQS scale was found to be valid in the educational settings. Principals’ level of CQ significantly predicted Latino students’ achievement scores of eight grade math and eight grade language arts. On the contrary to the expectations, there was no evidence to suggest that teacher-level CQ as measured by the CQS is predictive of Latino student achievement. Further analyses showed that multicultural exposures of teachers, such as being multilingual and visiting other countries, significantly predicted Latino students’ language arts performance.

This study has policy and research implications toward understanding and eliminating achievement gaps of Latino student populations. It sheds empirical light on whether this gap can be explained with the multicultural intelligence levels of principals and teachers, the two most influential actors in schools. By construct validating CQS, the study methodologically contributed to the pertinent educational research, which lacks instruments for the measurement of CQ levels of educational workforce.

The purpose of this paper is to examine the relative academic effectiveness of vocational education in three countries with early tracking systems: Austria, Croatia, and Hungary.

The authors use an instrumental variables approach to estimate vocational education’s relative academic effectiveness in terms of achievement on an international test, the Organization for Economic Cooperation and Development’s Program of International Student Assessment (PISA), and two possible indicators of non-cognitive outcomes – self-efficacy in mathematics and intrinsic motivation in mathematics, both also available from the PISA student survey.

The results show few, if any, differences in student gains from attending the vocational track in secondary school as opposed to the academic track. Specifically, the results show that attending the vocational or academic track results in similar achievement gains in the tenth grade and generally similar gains in self-efficacy and motivation in mathematics.

The study is unique because in the three countries, the authors can use a fuzzy regression discontinuity approach based on school systems’ age entrance date rules to estimate the gain in test scores over an academic year and to compare the gain for students in the vocational and academic tracks. The results contradict almost all other studies by showing that in these countries student academic gains in vocational education are about the same as in the academic track.

The purpose of this study was to design and iteratively improve the quality of survey-based measures of three non-cognitive constructs for Grade 5-6 students, keeping in mind information needs of users in education reform contexts. The constructs are: Mathematics-related Self-Efficacy, Self-Concept, and Anxiety (M-SE, M-SC, and M-ANX).

The authors applied a multi-stage, iterative and user-centered approach to design and validate the measures, using several psychometric techniques and three data samples. They evaluated the utility of student-level scores and aggregated, classroom-level means.

At both student and classroom levels, replicated evidence supported theoretically-grounded validity arguments on information produced by four of five scales tapping M-SC, M-ANX and M-SE. The evidence confirmed a second order, two-factor structure for M-SC, representing positive math affect and perceived competence, and a one factor structure for M-ANX representing negative math affect. Consistent with the literature, these served as precursors to a perceived confidence factor of M-SE which, in turn, positively influenced mathematics achievement scores, off-setting negative effects of M-ANX. Research is continuing on a self-regulatory efficacy factor of M-SE, which yielded mixed results.

The survey scales are in line with current reform policies in the United States calling for schools to monitor changes in cognitive and non-cognitive domains of student development. Validated scales could be useful in serving information needs of teachers, decision-makers and researchers in similar school-based contexts.

This study demonstrates a comprehensive, user-centered methodology for designing and validating construct measures, departing from purely psychometric traditions of scale development.