Fundamentals of Measurement in Applied Research
This text introduces students to the common measurement tools used in Education and Social Science research so that they can design, produce, and use new research. This text shows how users of research and assessment tools can become proficient in the production of new instruments and understand the skills necessary for constructing new measures. The text reviews details of how psychometric, developmental, and interpretive approaches to measurement are used in a multitude of social sciences, and supporting activities show how researchers use key measurement concepts. The book can be covered one chapter at a time in a formal measurement course or used as a supplementary text for a course on research design.
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The Role of Measurement in Research
Integrity in the Research Enterprise
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ability analysis answers approach artifacts associated assume assumptions behavior calibration Chapter characteristics coding coefficients common comparisons computer adaptive testing concepts conclusions construct construct validity contexts coordinate correlations criterion validity criterion-referenced tests Cultural theorists determine developmental dimensions discourse analysis discourse community distribution draw inferences error estimate ethnographic evaluate evidence example explore factor factor analysis first-order forms Guttman scales human functioning ideas identify idiothetic indicants individual differences inter-rater reliability interactions interpretive theorists interview investigators typically involves label latent variables methods minimize multiple nomothetic normal distribution norms observers offer parameters participants particular patterns persons predictions psychometric psychometricians questions raters reflect relations relationships reliability rely represent representations respondents sample scale scores selected skills social entities social networks stability standard stimuli structures and functioning systematic error task techniques theoretical theory tions traits validity variables variance verify z-scores