The Relationship of Selected Non-School Variables to the Decline

The purposes of this study were to investigate the impact of the following factors on the decline of average SAT scores between 1952 and 1981: (1) changes in composition of population of the SAT takers after 1963, (2) aggregate technological and social changes related to the scores in the years following 1970, and (3) selected economic factors in the period 1952 through 1981. Two models were used to test the hypotheses of this study. The dependent variables of each model were the SAT Verbal and Math scores. The independent variables of the study were two intervention variables that represented changes following 1963 and after 1970. Also, three economic variables were subjected to principal component analysis. These were changes in unemployment, Consumer Price Index (CPI), and real Gross National Product (GNP). The results were two factors: (1) Economic Instability (combination of unemployment and CPI), and (2) Economic Growth. These two factors were used as independent variables in addition to the interventions of 1963 and 1970. The interaction of these variables were calculated. The Box-Jenkins technique was used to generate residuals which were white noise (free from the confounding of autoregression, moving average, and trend or stochastic drift). Finally, hierarchical multilinear regression technique was used to analyze the white noise data of the study.

Generation Z and the Transformation of American Adolescence: How Gen Z's Formative Experiences Shape Its Politics, Priorities, and Future - The Survey Center on American Life

The Academic Achievement of College Freshmen with Regard to Demographic Variables and College Admissions Test Scores - UNT Digital Library

Nonlinear Relationships and Graphs without Numbers – Principles of Macroeconomics

The Relationship of Selected Non-School Variables to the Decline of Scholastic Aptitude Test Scores - UNT Digital Library

Cause and Effect, Definition, Relationship & Examples - Video & Lesson Transcript

Global education monitoring report, 2021/2: non-state actors in education: who chooses? who loses?

Influenza and COVID-19 Vaccination Coverage Among Health Care Personnel — United States, 2021–22

Ancient and historical DNA in conservation policy: Trends in Ecology & Evolution

Variable Cost: What It Is and How to Calculate It

PDF] Recasting Non-Cognitive Factors in College Readiness as What They Truly Are: Non-Academic Factors.

Specific causes of excess late mortality and association with modifiable risk factors among survivors of childhood cancer: a report from the Childhood Cancer Survivor Study cohort - The Lancet