We present a novel first-year chemistry laboratory experiment that connects solubility, equilibrium, and chemical periodicity concepts. It employs a unique format that asks students to replicate experiments described in different sample lab reports, each lacking some essential information, rather than follow a scripted procedure. This structure is…

We have designed a new guided-inquiry laboratory for an advanced biochemistry course. This integrated laboratory focuses on the biomolecule tRNA[superscript Phe] and combines elements of bioorganic and bioinorganic chemistry with biochemistry. Throughout the semester students work together to study tRNA[superscript Phe] structure and ligand…

Variety may be the spice of life, but in terms of data sources, variety is more than a spice--it is one of the basic food groups. Alternative data sources, such as student interviews and walk-throughs, are essential for a well-balanced diet. Data from test scores alone, whether from norm-referenced or criterion-referenced tests, state, district,…

The National Curriculum for 14-16 year old students in England contains a mandatory element called "How science works". Included in this material is interpretation of data, collecting data from primary sources, using ICT tools, and developing an argument and drawing conclusions. What follows is an activity, based on magnetic braking,…

The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…

The attitudes of Year 5 primary-school children towards science, engineering and technology (SET) were examined prior to studying the effects of the Horsham Greenpower Goblin Challenge (HGGC), a hands-on SET project. The data collection centred on pupil, parent and teacher questionnaires using Likert scales and picture/word images of scientists…

This article discusses the incorporation of biological content into existing calculus courses without significantly changing the courses. This is exemplified by the common laboratory course taken by students in all first semester calculus courses at Benedictine University. Several biologically oriented projects are implemented in this laboratory…

Since the publication of "A Nation at Risk: The Imperative for Educational Reform" by the U.S. Department of Education in 1983, American higher education has faced the need to develop its own effective means of learning assessment to forestall the prospect of government-imposed standardized procedures. The latter potential may have moved closed…

There is general agreement that meta-analysis is an important tool for synthesizing study results in quantitative educational research. Yet, a shared feature of many meta-analyses is a failure to report sufficient information for readers to fully judge the reported findings, such as the populations to which generalizations are to be made,…

The most recent data on stars orbiting Sagittarius A*, the black hole at the center of the Milky Way galaxy, have been used in an experiment undertaken by second-year university students to determine the distance R[theta] to the center of the galaxy. Students applied each of Kepler's 17th-century laws, in turn, to 21st-century data. The…

Normal theory maximum likelihood (ML) is by far the most popular estimation and testing method used in structural equation modeling (SEM), and it is the default in most SEM programs. Even though this approach assumes multivariate normality of the data, its use can be justified on the grounds that it is fairly robust to the violations of the…

For the past 25 years, methodological advances have been made in missing data treatment. Most published work has focused on missing data in dependent variables under various conditions. The present study seeks to fill the void by comparing two approaches for handling missing data in categorical covariates in logistic regression: the…

Increasing working memory (WM) capacity is often cited as a major influence on children's development and yet WM capacity is difficult to examine independently of long-term knowledge. A computational model of children's nonword repetition (NWR) performance is presented that independently manipulates long-term knowledge and WM capacity to determine…

A study of 3,000 school counselors was undertaken to assess their beliefs about necessary components of a school counseling program. This study was part of the database that the American School Counselor Association used to develop "The ASCA National Model: A Framework for School Counseling Programs." The School Counseling Program Component Scale…

In the literature of mean and covariance structure analysis, noncentral chi-square distribution is commonly used to describe the behavior of the likelihood ratio (LR) statistic under alternative hypothesis. Due to the inaccessibility of the rather technical literature for the distribution of the LR statistic, it is widely believed that the…