Modelling student migration to Karnataka for Higher Education using a partial least square structural equation model

With increasing student migration for Higher Education to Karnataka, it is important to understand the reasons which influence the migrants. Studies have indicated various push and pull factors for migration. This paper identifies career opportunities, value for education, brand equity, living conditions and others as pull factors of student migration using exploratory factor analysis. Further, the paper develops a structural equation model using a partial least square technique based on the factors explored. The research is based on primary data collected from students who migrated to Karnataka for Higher Education. The partial least square structural equations model shows that job opportunities and academic progression are the main factors influencing the decision to migrate to Karnataka.     

高职称群体健身状况调研及健身体系构建

目的:探讨广西高职称群体不同性别年龄层次的健身行为特征,为相关的干预研究提供科学依据。方法:采用问卷调查对广西高职称群体健身行为、影响因子、健身消费等指标进行统计分析。结果:数据显示广西高职称群体在健身行为方式、影响健身因子等指标上,体现性别年龄特征,存在差异。结论:广西高职称群体健身受健康理念、工作方式和锻炼习惯的制约,造成健身能力缺失,健康投资缺乏,应采取有效干预,加强健身行为和健康管理。     

Identifying characteristics of successful tertiary students using path analysis

Academic achievement is the outcome of a complex system of learning and teaching relationships existing within the context of the university. A causal path model was developed and tested using a partial least squares path analysis procedure in order to examine the relationships among factors hypothesised to influence tertiary students’ academic achievement. Of the eight predictor variables included in the model (Approach to Learning motives and strategies; Learning Style; Age; Sex; Locus of Control; Metacognitive Capability; and students’ Self-Rated performance), Metacognitive Capability most clearly identifies successful students. Relationships among the other variables also provide valuable information about student learning outcomes.     

Examining Chi-Square Test Statistics Under Conditions of Large Model Size and Ordinal Data

This study examined the effect of model size on the chi-square test statistics obtained from ordinal factor analysis models. The performance of six robust chi-square test statistics were compared across various conditions, including number of observed variables (p), number of factors, sample size, model (mis)specification, number of categories, and threshold distribution. Results showed that the unweighted least squares (ULS) robust chi-square statistics generally outperform the diagonally weighted least squares (DWLS) robust chi-square statistics. The ULSM estimator performed the best overall. However, when fitting ordinal factor analysis models with a large number of observed variables and small sample size, the ULSM-based chi-square tests may yield empirical variances that are noticeably larger than the theoretical values and inflated Type I error rates. On the other hand, when the number of observed variables is very large, the mean- and variance-corrected chi-square test statistics (e.g., based on ULSMV and WLSMV) could produce empirical variances conspicuously smaller than the theoretical values and Type I error rates lower than the nominal level, and demonstrate lower power rates to reject misspecified models. Recommendations for applied researchers and future empirical studies involving large models are provided.     

Effects of Within-Class Grouping on Student Achievement: An Exploratory Model

Abstract

In this meta-analysis, the authors attempted to develop a parsimonious model of factors that account for the significant variability in the findings on the effects of within-class grouping on student achievement. Two weighted least squares regression models were tested using 103 independent findings from 51 studies at elementary through postsecondary grades. Results indicate that the most important study features that accounted for 48% of the total variance include outcome measure source, teacher training equivalence, grouping basis, type of small-group instruction method, grade level, and relative ability of students. Goodness-of-fit statistics indicate that the model fits the data and that the remaining variance may be explained by sampling errors.     

高职学生自尊水平调查

目的:揭示高职学生自尊水平及其影响因素。方法:采用SES、ASLES及社会支持问卷对689名浙、川高职学生进行测量,对数据进行SPSS统计。结果:高职学生的自尊水平在不同性质学校、不同地区变量上不存在显著差异;在性别、年级变量上存在显著差异,且女生、二年级高职学生自尊水平较高;高职生自尊水平与生活负性事件呈显著负性相关,与社会支持呈显著正相关。结论:高职学生自尊培养中要注重性别、年级差异,可以从减少负性生活事件的影响,增加社会支持等方面提高学生自尊。     

关于构建高职院校国际贸易专业行动导向课程体系的探索——基于顺德职业技术学院毕业生问卷调查的实证分析

根据国贸专业毕业生调查问卷的统计数据,设定多元线性模型,运用最小二乘法进行回归估计,分析了毕业生就业后的收入与课程设置之间的关系。并以此为依据,提出了构建行动导向课程体系的建议。     

高等教育之于学生发展:能力提升还是能力筛选?

本研究从教育经济学理论出发,结合心理学的理论模型,构建了大学生能力发展和职业发展的动力模型,并使用对工作单位中大学毕业生的抽样调查数据,实证分析了大学生能力发展和职业发展的影响因素,结果发现,人力资本理论和工作特征理论能较好地解释我国大学毕业生形成的劳动力市场。高等教育对大学生能力提升具有显著的促进作用,家庭文化资本对大学生能力提升的影响不显著。工作经验、高等教育层次和个人能力对收入水平有显著影响。个人能力、工作稳定性、对工作的适应性和灵活性、团队合作的程度以及参与决策的机会对大学毕业生的职业发展具有积极的促进作用。     

Gender differences when choosing school subjects: Parental push and career pull. Some tentative hypotheses

The literature has made us all aware of large gender differences in students' atttudes to science, in enrolment statistics in upper high school and tertiary level science courses, and in different spheres of employment. What have not been looked at in detail are the factors which are influential when students begin to make choices in early high school, choices which may well set them on a particular pathway from which it is difficult to turn. This preliminary study identifies factors which students in a Year 9 class believed were influential on the limited subject choices they had been able to make in Years 8 and 9, and the factors they believed would be most influential on choices to be made later in the school. In addition the students' views of science, of the separate sciences, and of their anticipated career patterns were sought. Several interesting findings were made which, if validated in further work, could lead to strategies which would support other approaches designed to reduce gender imbalances related to science. Specializations: non-scientific conceptions and conceptual change, problem solving, science teacher education. Specializations: Gender issues.     

大学校园违纪现象屡禁不止的调查与分析

大学校园违纪现象从来就是思想政治工作的一个难题。为了了解违纪现象屡禁不止的原因，我们通过问卷调查和谈心调查两种方法，进行了数理统计的因子分析和思想工作的定性分析，得出了一些有用的规律，并为解决这个难题提出一些意见。     

Testing the efficacy of team teaching

This study examines differences between team-taught and solo-taught sections of a graduate introductory course on research and statistics in terms of student perceptions and achievement. Factor analysis of survey data confirmed three factors: comfort with research and statistics; the relationship of research and statistics to work; and interest in research and statistics. Pre- and post-survey and achievement data were gathered, as were demographic data. T-test and MANCOVA results indicated: no significant achievement differences based on teaching format; a significant pre-post difference for all students on one factor (comfort with research and statistics); and only one significant difference (relationship between work and research and statistics) based on learning environment.     

Teaching statistics in biology: using inquiry-based learning to strengthen understanding of statistical analysis in biology laboratory courses

There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study.     

高职院校教学秘书激励因素研究

以高职院校教学秘书作为研究对象,分析教学秘书工作的性质、特点和需求表现,归纳能够促进工作积极性和提高工作效率的激励因素,为构建高职院校教学秘书激励机制的研究奠定基础。     

旅游者人数变动的统计预测分析

旅游业是一个波动性较强的产业，由于受旅游市场多种因素的影响，往往导致旅游目的地和旅游景点旅游人数经常发生变动，因此对旅游人数进行统计、分析和预测有助于调节旅游市场的供求平衡，合理安排和开发旅游景点，做好旅游接待工作。本通过使用一些统计预测模型及相应的预测方法，对旅游的人数变动、流向变动和季节变动进行了一定的统计、分析和预测，对旅游业实践具有一定的指导意义。     

Assessing Directions for Educational Development Assistance

As the 21st century begins, three factors are intersecting in ways that are changing the face of international development assistance and, in turn, the agenda of international development agencies working in the area of education. These changes include: (1) shifts in the age distribution of the population, (2) devolution of more authority and responsibility to lower levels of the education system, and (3) intensified competition for resources. This paper examines how the convergence of these trends is reshaping the way development assistance organizations will operate in the next decade, identifies development priorities of the next decade, and proposes a model of the factors that international agencies need to consider in assessing their own work priorities over that time.     

Assessing Directions for Educational Development Assistance

As the 21st century begins, three factors are intersecting in ways that are changing the face of international development assistance and, in turn, the agenda of international development agencies working in the area of education. These changes include: (1) shifts in the age distribution of the population, (2) devolution of more authority and responsibility to lower levels of the education system, and (3) intensified competition for resources. This paper examines how the convergence of these trends is reshaping the way development assistance organizations will operate in the next decade, identifies development priorities of the next decade, and proposes a model of the factors that international agencies need to consider in assessing their own work priorities over that time.     

高校统计工作略谈

改革开放以来,高校统计工作日益受到重视,统计的职能作用愈加明显。统计是一项社会综合计算、计量活动,涉及到方方面面各种因素,需要组织与协调。同时,统计又是一项科学活动,讲究工作质量和专业技术。抓紧抓好统计工作的每个环节是进一步发展统计工作的根本所在,是推进高校教育改革的重要一环。     

Simulation in the Simple Linear Regression Model

This article presents an activity which simulates the linear regression model in order to verify the probabilistic behaviour of the resulting least‐squares statistics in practice.     

Detecting Answer Copying Using Alternate Test Forms and Seat Locations in Small-Scale Examinations

Two types of answer-copying statistics for detecting copiers in small-scale examinations are proposed. One statistic identifies the "copier-source" pair, and the other in addition suggests who is copier and who is source. Both types of statistics can be used when the examination has alternate test forms. A simulation study shows that the statistics do not depend on the total-test score. Another simulation study compares the statistics with two known statistics, and shows that they have substantial power. The new statistics are applied to data from a small-scale examination  ( N = 230)  with two alternate test forms. Auxiliary information on the seat location of the examinees and the test scores of the examinees was used to determine whether or not examinees could be suspected.     

从概率统计看中国股市波动规律

回顾了中国股市十年发展变化的特点，运用概率统计等方法建立数学模型，分析股指波动规律及主要影响因素，并试预测今后10年的股市的变化趋势。