Scale Development: Theory and ApplicationsSAGE Publications, 2016年3月30日 - 280 頁 In the Fourth Edition of Scale Development, Robert F. DeVellis demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The text supports readers in comprehending newer approaches to measurement, comparing them to classical approaches, and grasping more clearly the relative merits of each. This edition addresses new topics pertinent to modern measurement approaches and includes additional exercises and topics for class discussion. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more. |
內容
Chapter 4 Validity | |
Chapter 5 Guidelines in Scale Development | |
Chapter 6 Factor Analysis | |
Chapter 1 Overview | 3 |
Chapter 2 Understanding the Latent Variable | 4 |
Chapter 3 Reliability | 5 |
Chapter 6 Factor Analysis | 8 |
Chapter 7 An Overview of Item Response Theory | 9 |
Chapter 8 Measurement in the Broader Research Context | 10 |
References | 11 |
Chapter 7 An Overview of Item Response Theory | 24 |
Chapter 8 Measurement in the Broader Research Context | 60 |
Exercise | 69 |
80 | |
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常見字詞
ability alternative analytic anxiety assess assume assumptions attribute average inter-item correlation bifactor model causal change score Chapter characteristics classical measurement classical test theory coefficient alpha common factors conceptual consider construct validity content validity continuum correlation matrix covariance matrix criterion criterion-related validity curves depression described determine DeVellis differentiate discussed eigenvalue equal essential tau equivalence estimate evaluate example factor analysis Figure Guttman scale hypothetical important indicators individual items instrument investigator involved issue item response theory item set item’s latent variable Likert Likert scale loadings locus of control means measurement theory mental methods negative number of items parallel tests path path diagram phenomenon potential procedures Psychological psychometric questionnaire relationship relevant reliability represent response options result rotation sample scale development scale items score variance set of items share similar social specific statistical theoretical Thurstone scale total variance true score typically underlying unidimensional values variation yield