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This study examined student access to school counselors and the link between school counselor-to-student (SC-S) ratios and student outcomes in six states in the United States. Access to school counselors was often greater for White students, but less for Asian students, English learners, or those in larger schools. In the two states with the lowest SC-S ratios among the states studied, schools with more counselors per student (a) had higher English SAT scores and more students with postsecondary enrollment (i.e., New Hampshire), and (b) had more students enrolled in postsecondary studies (i.e., Maine). In the two states with the highest SC-S ratios of the six studied, schools with more counselors per student (a) had lower overall learning outcomes and graduation rates (i.e., Arizona), and (b) had worse academic outcomes in English, math, or science (i.e., Idaho). Schools with higher SC-S ratios showed more suspensions (i.e., New Hampshire) and more chronic absenteeism (i.e., Arizona, Missouri, and Rhode Island). We discuss implications for legislative advocacy, intentional school counselor caseload assignments, and future research.

Background While many studies show that greater economic inequality widens the achievement gap between rich and poor students, recent studies indicate that countries with greater economic inequality have lower overall student achievement. Purpose This study explores whether family inequalities (family income) or school inequalities (educational materials or teachers with university degrees) reduce overall student achievement through micro-economic mechanisms, such as fewer educational resources (via rent-seeking) or inefficient resource allocation (via diminishing marginal returns). Population/Participants/Subjects The Organisation for Economic Cooperation and Development's Programme for International Student Assessment (OECD-PISA) selected 475,760 representative fifteen-year-olds and their principals from 18,094 schools in 65 countries. Research Design In this secondary analysis, we tested whether family or school inequalities were related to students’ mathematics test scores, and whether fewer educational resources or inefficient resources allocation mediated these relationships. Data Collection and Analysis Each student received a mathematics test. The students and their principals also received a questionnaire. World Bank economic data on each countries were merged with the OECD-PISA data. To analyze this data, we used item response models, Warm indices and multilevel analyses. Findings/Results In countries with greater family inequality (GDP Gini) or school inequalities (of educational materials or teacher quality), students had lower mathematics achievement. The results were similar in all student subsamples (high vs. low SES; high vs. low achievement). As the mediation results for each inequality differed, they suggest that these inequalities operate through different mechanisms. Family inequality and school inequality of teacher quality are linked to fewer teachers with post-secondary education and lower mathematics achievement. Meanwhile, school inequality of educational resources is linked to diminishing marginal returns and lower mathematics achievement. Conclusions/Recommendations Family inequality and school inequalities (educational materials, teacher quality) are distinct inequalities that are all linked to lower mathematics achievement, but not substantially correlated with one another. Thus, each inequality can be addressed separately. As none of the subgroups of students (not even the richest ones) benefit from any of the inequalities, disseminating the results widely can help more laypeople (especially the richest ones) recognize their mutual benefit in reducing these inequalities –or reduce their inclination to support policies that exacerbate these inequalities. As reducing family inequality can be extremely costly and politically controversial, a strategic intervention at the inequality mechanism level (e.g., increasing teacher quality in schools with few high quality teachers) might be improve mathematics achievement more effectively.

Past studies of the relation between teacher-student relationship (TSR) and students’ academic achievement (SAA) yielded mixed results, so this study determined the overall link between TSR and SAA, along with their moderators. This three-level meta-analysis of 90 independent effect sizes in 74 empirical studies of 233,961 students showed an overall positive link between TSR and SAA in China ( r  =  .259, 95% CI  =  [.227; .290]). This relationship was higher in: (a) China's central region (.305) than its eastern (.238) or western regions (.166); (b) senior high school (.345), followed by junior high school (.251), then primary school (.221); (c) English (.302), followed by math (.272), Chinese (.269), and science (.202); and (d) females (B  =  .507) than males. These results suggest the value of improving teacher-student relationships in policies and practices.

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Online forums (synchronous and asynchronous) offer exciting data opportunities to analyze how people influence one another through their interactions. However, researchers must address several analytic difficulties involving the data (missing values, nested structure [messages within topics], non-sequential messages), outcome variables (discrete outcomes, rare instances, multiple outcome variables, similarities among nearby messages), and explanatory variables (sequences of explanatory variables, indirect mediation effects, false positives, and robustness of results). We explicate a method that addresses these difficulties (Statistical Discourse Analysis or SDA) and illustrate it on 1,330 asynchronous messages written and selfcoded by 17 students during a 13-week online educational technology course. Both individual characteristics and message attributes were linked to participants' online messages. Men wrote more messages about their theories than women did. Moreover, some sequences of messages were more likely to precede other messages. For example, opinions were often followed by elaborations, which were often followed by theorizing.

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