The Common Core of Data (CCD) is an annual collection of public elementary and secondary education data by the National Center for Education Statistics (NCES) in the Institute of Education Sciences of the U.S. Department of Education. The data presented in this report are selected from the three nonfiscal components of the Common Core of Data…

The purpose of this paper is to provide information about how students' scores change when they retake the PSAT/NMSQT as juniors or take the SAT in the spring after they take the PSAT/NMSQT as juniors. Two research questions guided this study and motivated the approach for analysis of the data: How do scores change for students who took the…

Describes a study that examined Top 40 singles chart data to determine whether the frequency distribution of artist productivity fit either of two laws of scatter (Lotka Law of Scientific Productivity or Bradford Law of Scatter). Possible reasons for the lack of statistical significance found between the theoretical and observed distributions are…

Describes a study that supported two hypotheses concerning the use of anaphors in information retrieval: first, that anaphors tend to refer to integral concepts rather than peripheral concepts; second, that various term weighting schemes are affected differently by anaphoric resolution. The implications for the use of anaphoric resolution for…

Investigates the relationships between the parameters of the Simon-Yule model and the shapes of three bibliometric distributions: Lotka's Law of Scientific Productivity; Bradford's Law of Bibliometric Scattering; and Zipf's Law of Word Frequency. The results indicate that the probability of a new entry determines the characteristics of all three…

Effectiveness ratings of principals by researchers have frequently been hampered by relying on teachers' one-dimensional, research-triggered "global" ratings. This paper reports a 1979-80 British Comumbia superintendents' study geared toward multidimensional subjective assessments of 266 administrators, and concentrates primarily on ways…

Describes the of attribute sampling to estimate characteristics of library collections and operations. The nature of statistical sampling and making a statistical inference are covered, and examples from library situations are given. Tables of determination of sample size and evaluation of results are included. (Contains six references.) (EAM)

Introduces two data distortion methods (Frequency-Imposed Distortion, Frequency-Imposed Probability Distortion) and uses a Monte Carlo study to compare their performance with that of other distortion methods (Point Distortion, Probability Distortion). Indications that data generated by these two methods produce accurate statistics and protect…