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This article reports on a psychometric study examining the validity and reliability of the My Class Inventory-Short Form for Teachers, an accountability measure for elementary school counselors to use as they evaluate aspects of their school counseling programs. As a companion inventory to the student version of the My Class Inventory–Short Form (Sink & Spencer, 2005), this instrument assesses teachers' perceptions of the classroom climate as they relate to five scales: overall student satisfaction with the learning experience, peer relations, difficulty level of classroom materials, student competitiveness, and school counselor impact on the learning environment. Implications for practice are included.

A psychometric study with more than 2,800 upper-elementary-age students examined the reliability and factorial validity of the My Class Inventory-Short Form (MCI-SF). Factor analytic and structural equation modeling results suggested that the original measure is a less than satisfactory approach to appraise various dimensions of classroom climate. Researchers subsequently tested a revised version of the MCI-SF, showingthatthe 18-item measure with four scales (Cohesion, Competitiveness, Friction, and Satisfaction) was psychometrically sound. Implications for ele-mentary school counseling programs and practices are discussed.

In most image processing and computer vision applications, real-world scale can only be determined when calibration information is available. Dynamic scenes further complicate most situations. However, some types of dynamic scenes provide useful information that can be used to recover real-world scale. In this paper, we focus on ocean scenes and propose a method for finding sizes in real-world units and the sea state from an uncalibrated camera. Fourier transforms in the space and time dimensions yield spatial and temporal frequency spectra. For water waves, the dispersion relation defines a square relationship between the wavelength and period of a wave. Our method applies this dispersion relation to recover the real-world scale of an ocean sequence. The sea state--including the peak wavelength and period, the wind speed that generated the waves, and the wave heights--is also determined from the frequency spectrum of the sequence combined with stochastic oceanography models. The process is demonstrated on synthetic and real sequences, validating the results with known scene geometry. This has wide applications in port monitoring and coastal surveillance.

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