By Design Planning Research on Higher Education

ISBN-10: 0674089316
ISBN-13: 9780674089310
Edition: 1990
List price: $32.00 Buy it from $1.12
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Description: Do students who work longer and harder learn more in college? Does joining a fraternity with a more academic flavor enhance a student's academic performance? When are the results from an innovation that is tried on one campus applicable to other  More...

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Book details

List price: $32.00
Copyright year: 1990
Publisher: Harvard University Press
Publication date: 3/1/1990
Binding: Paperback
Pages: 296
Size: 6.25" wide x 9.25" long x 0.75" tall
Weight: 0.990
Language: English

Do students who work longer and harder learn more in college? Does joining a fraternity with a more academic flavor enhance a student's academic performance? When are the results from an innovation that is tried on one campus applicable to other campuses? How many students and faculty members must participate in a research project before findings are valid? Do students learn best when they study alone or in small groups? These are just some more than fifty examples that Richard Light Judith Singer and John Willett explore in By Design, a lively nontechnical sourcebook for learning about colleges and universities. These authors believe that careful design of research on college effectiveness is the single most important step toward producing useful and valid findings. In that spirit, By Design is a pathbreaking textbook of modern research methods that both practitioners and students will find useful.

Richard J. Light is Professor in the Graduate School of Education and the John F. Kennedy School of Government at Harvard University.

Judith D. Singeris an Associate Professor at the Graduate School of Education, Harvard University.

John B. Willett is an Associate Professor at the Graduate School of Education, Harvard University.

Why Do Research On Higher Education?
Many Questions, Many Options
Our Philosophy of Research
Design How This Book is Organized
What Are Your Questions?
Why Are Research Questions So Important?
Getting Specific
Building on the Work of Others Correlation versus Causation
The Wheel of Science
What Groups Do You Want to Study?
Specifying the Target Population
Where Should you Conduct the Study Selecting
Your Sample More Than One Type of Respondent Nonresponse Bias
What Predictors Do You Want to Study?
Types of Predictors
The Important Role of Variation
Other Reasons for Selecting Predictors
The Integrity of Your Treatment
Choosing Which Predictors to Study
Compared to What?
Why Do You Need a Comparison Group?
Randomized Control Groups: The Best Comparisons
Requiring Informed Consent
Volunteer Bias Comparison Groups without Random
Assignment Retrospective Case-control Studies
Design Effects Can Swamp Treatment Effects
What Are Your Outcomes?
Different Kinds of Outcomes
Will You Measure Status or Development
Short-term versus Long-term Effects Are Your Measures Valid?
How Can You Improve Your Measures?
What is Measurement Error?
Reliability and Measurement
Error Six Strategies for Improving Measurement Quality
Looking at Measurement Quality
How Many People Should You Study?
Why Is Sample Size So Important?
What Size Effect Do You Want to Detect?
What Type of Analysis Will You Use?
Instruments Precision and Sample Size
What If Students Drop Out?
Should You Try It out on a Small Scale?
The Advantages of Pilot Studies
Piloting Instruments Relational Studies
Informal Small-scale Experiments
Generalizing From a Small Study
Where Should You Go From Here?
Getting Started Lessons
From Our Seminar Decisions
You Must Make Planning a Longer-term Research Program
Reference
Index

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