Quantitative Research Methods for Professionals in Education and Other Fields

ISBN-10: 0205359132

ISBN-13: 9780205359134

Edition: 2007

Authors: W. Paul Vogt

List price: $142.20
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Book details

List price: $142.20
Copyright year: 2007
Publisher: Allyn & Bacon, Incorporated
Publication date: 1/31/2006
Binding: Paperback
Pages: 352
Size: 7.25" wide x 9.00" long x 0.50" tall
Weight: 1.496
Language: English

W. Paul Vogt is Professor of Research Methods and Evaluation at Illinois State University where he has won both teaching and research awards. He specializes in the evaluation of educational programs and is particularly interested in integrating multiple methods in program evaluation.nbsp; His other books include: Tolerance & Education:nbsp; Learning to Live with Diversity and Difference (Sage Publications), Quantitative Research Methods for Professionals (Allyn & Bacon), and Education Programs for Improving Intergroup Relations (co-edited with Walter Stephan, Teachers College Press).

Introduction to Part I
Design, Measurement, and Analysis
What is the role of research questions in the process of planning research?
How are design, measurement, and analysis defined and related?
What are the main types of research design?
What is measurement and what are its main types?
What different kinds of statistical analysis are there?
What is statistical significance?
How have recent controversies changed statistical practice?
What are Type I and Type II errors, and why should I care?
Standard Deviation and Correlation
What is a standard deviation and what does it tell us?
How do we calculate the standard deviation and the variance?
What are standard scores and how can we use them?
What is the normal distribution and how is it related to standard scores?
What is a correlation coefficient and how do we interpret it?
How is a correlation coefficient calculated?
How do we interpret correlations and their statistical significance?
How can correlations be used to find relations in and interpret real data?
What is a large correlation?
What is linearity, and why is it important for interpreting correlations?
What is the relationship of correlation and cause?
Variables and the Relations Among Them
How are different types of variables related?
How can we depict relations among variables and use the depictions to understand our research questions?
How does the inclusion of effect modifiers make our understanding of our research questions more realistic?
What is causal modeling and how do we move from graphics to equations--and back again?
How can we use causal modeling to think about a research topic? The example of parental involvement
How can we use causal modeling to think about a research topic? The example of student advisory programs
What is the nature of causation when studying research problems?
What are the criteria for assessing causation?
The Uses of Descriptive Statistics
How do researchers use the term "descriptive" statistics?
How are descriptive statistics used to depict populations and samples?
What are measures of central tendency and how does one choose among them?
How do we explore the shape of data distributions?
How does the theoretical normal distribution relate to descriptions of actual data distributions?
What do you do if your data are not continuous and not (approximately) normally distributed?
What are non-parametric statistical techniques and how are they used?
How can we use descriptive statistics to check assumptions that have to be true for the proper use of other techniques?
What are some substantive uses of descriptive (non-inferential) statistics?
Surveys and Random Sampling
What criteria define a good sample?
What are the main varieties of probability samples and what are the chief features of each?
What can be learned from non-probability samples?
How important is sample size?
How can surveys be designed to elicit the most valuable responses?
How can questions be written so they will lead to effective measurement?
How can responses to survey questions be analyzed?
When are surveys likely to b
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