## Using National Data Bases in Educational ResearchThis book's purpose is to enable educational researchers to make better use of the huge longitudinal and cross-sectional data files that are now readily available. Of value to experienced researchers and undergraduates alike, the book focuses primarily on the planning and design of research rather than implementation of data base information. Its chapters address a variety of vital questions including: * What variables are present in each of the major national data bases? * What are the problems and dangers in making comparisons across data bases? * What factors invalidate comparisons of test scores across data bases? * In what ways can data from certain data bases be physically merged with data from other data bases? This text clearly demonstrates what can be done with large national data bases and, perhaps equally important, what cannot be done -- or done only if certain precautions are taken. |

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### Contents

Chapter 1 Introduction | 1 |

Chapter 2 General Problems in Using Results from Two or More Data Bases | 8 |

An Example Involving Project TALENT the Coleman Study and NLS | 18 |

A Study of the SAT Score Decline | 73 |

An Example Involving SAT Scores ASVAB Scores and HSB Data | 98 |

A Study of National Trends in SpatialVisual Ability | 113 |

Chapter 7 Estimating Ability in the CollegeBound Population from a SelfSelected Sample | 123 |

Do NAEP Means Predict Later SAT Means for the Same Cohort of Students? | 134 |

Chapter 11 Estimating Change in Enrollments from Two National Surveys Eight Years Apart | 214 |

Chapter 12 Merging Data from Two Data Bases Without Common MembersA Proposal | 237 |

Some Problems and Solutions | 246 |

Chapter 14 Drawing Educational Implications from Multiple Data Bases | 259 |

Chapter 15 Summary and Conclusions | 264 |

276 | |

Description and Directions for Obtaining Copies of Selected National Data Bases | 281 |

Author Index | 290 |

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1980 sophomore 4-year colleges academic AFQT analysis ASVAB bachelor's degrees Black students chapter column comparable correlation described differences Educational Testing Service EEOS enrolled equating estimated ethnic follow-up formula scores frequency distribution grade Graduate Record Examinations graduate school high school graduation high school seniors Hilton & Rhett Hispanic HS&B tests included increase individual Item Response Theory Longitudinal Study math factor mean scores measure Mosaic Comparisons NAEP reading National Longitudinal Study NLS sample number of students participation percentage Picture-Number population Project TALENT proportion question reading ability reading passages reading scores reading test regression reliable variance reported Response sample members SAT scores SAT takers SAT-V SAT-verbal score Scholastic Aptitude Test score decline selected self-selection senior cohort standard deviation standard scores statistics strata stratum subgroups survey Table taking the SAT test battery test scores took the SAT unified data base variables Vocabulary weights