Broad-based empirical outcomes assessment is an increasingly evident part of governmental services and this trend is particularly apparent in education. The clearest manifestation of this trend in education has been the advent of high-stakes broad-based testing and accountability programs in K-12 education. Although this assessment regime has not…

The modular exponentiation, y[equivalent to]x[superscript k](mod n) with x,y,k,n integers and n [greater than] 1; is the most fundamental operation in RSA and ElGamal public-key cryptographic systems. Thus the efficiency of RSA and ElGamal depends entirely on the efficiency of the modular exponentiation. The same situation arises also in elliptic…

Providing high school students access to advanced coursework has long been considered an important means of preparing students for success after high school. This study merges data from College Board's Advanced Placement (AP) program for the 2003-2004 school year with data from the U.S. Department of Education for all U.S. public high schools to…

Few methods have been tried and used to graphically represent more than two variables. This poster session showed a new method for representing three continuous variables on a single scatterplot using the THREEDE computer program. Two variables are represented as a normal bivariate distribution. The third variable is represented by a symbol, e.g.…

Advances in cognitive research increase the need for assessment that can address the processes and the strategies by which persons solve problems. Several psychometric models have been introduced to handle claims cast in information-processing terms, explicitly modeling performance in terms of theory-based predictions of performance. Cognitively…

This book looks at quantitative research methods in education. The book is structured to start with chapters on conceptual issues and designing quantitative research studies before going on to data analysis. While each chapter can be studied separately, a better understanding will be reached by reading the book sequentially. This book is intended…

Makes the case that hierarchical linear models or longitudinal multilevel models are a better alternative than standard regression models for empirical tests of predictive developmental hypotheses. Describes a multivariate longitudinal model linking developmental data to a criterion and presents an example from a study of the prediction of infant…

Children of parents with mental illness are an at-risk population according to research on psychiatric outcomes using White, middle-class samples of depressed parents and infants and preschool children. The current study expands this evidence by exploring within-group heterogeneity across psychosocial outcomes, in a racially diverse, low-income…

The conventional way to measure program impacts is to compute the average treatment effect; that is, the difference between a treatment group that received some intervention and a control group that did not. Recently, scholars have recognized that looking only at the average treatment effect may obscure impacts that accrue to subgroups. In an…

In separate studies, observers viewed upright biological motion, inverted biological motion, or arbitrary motion created from systematically randomizing the positions of point-light dots. Results showed that observers (a) could learn to detect the presence of arbitrary motion, (b) could not learn to discriminate the coherence of arbitrary motion,…

Focuses on the importance of teaching graduate students more about research. Discusses the content of a counseling psychology research seminar in which the students read articles from the "Journal of Counseling Psychology." Included readings on research design and methodology and multivariate statistical procedures. (CMK)

The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and…

Oversampling and cluster sampling must be addressed when analyzing complex sample data. This study: (a) compares parameter estimates when applying weights versus not applying weights; (b) examines subset selection issues; (c) compares results when using standard statistical software (SPSS) versus specialized software (AM); and (d) offers…

Randomized response (RR) is a well-known method for measuring sensitive behavior. Yet this method is not often applied because: (i) of its lower efficiency and the resulting need for larger sample sizes which make applications of RR costly; (ii) despite its privacy-protection mechanism the RR design may not be followed by every respondent; and…

A study analyzed data from a series of five household socioeconomic surveys carried out in Kinshasa, Congo, over the period from 1955 to 1990. Results indicated that schooling and educational attainment of both females and males increased substantially over this period, and particularly so for young women. Research analysis provides a detailed…