Measuring teacher effects on pupil achievement.

Veldman, Donald J.; Brophy, Jere

doi:10.1037/h0036500

Cited by 39 publications

(12 citation statements)

References 6 publications

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“…The standardized combined change index was calculated using residual change scores that were computed for each behavior by regressing the 12-month score on the baseline score and standardizing the values to have a mean of zero and standard deviation of 1 (Tucker, et al, 1966, Veldman and Brophy, 1974). A sum of the four standardized residualized change scores was taken to create the standardized residualized change index (SRCI; see Table 1 for details).…”

Section: Methodsmentioning

confidence: 99%

Physical activity and dietary behavior change in Internet-based weight loss interventions: Comparing two multiple-behavior change indices

Carlson

Sallis

Ramírez

et al. 2012

Preventive Medicine

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Objective To investigate the effects of two Internet-based weight loss interventions on physical activity (PA) and dietary behaviors using two approaches for computing combined behavior change. Method Participants were 352 overweight/obese women and men completing 12-month interventions in San Diego, California during 2002–2007. Moderate-to-vigorous PA (MVPA) and sedentary time were measured with accelerometers, and dietary fat and fruit and vegetable intake were assessed with food frequency questionnaires. Longitudinal analyses tested the effect of the intervention on combined health behavior change quantified using a standardized residualized change index (SRCI) and a risk factor change index (RFCI). Results At baseline, participants engaged in an average of 153 min/week of MVPA and 525 min/day of sedentary time, and consumed 37% of calories from fat and < 3 fruits and vegetables per day. The interventions had a significant effect on combined behavior change as measured with each approach (p < 0.001). The intervention effect was larger (p < .001) when evaluated using the SRCI (standardized regression coefficient [Beta] = 0.30) than the RFCI (β = −0.18). Conclusion Interventions that target both PA and dietary behaviors appear effective. The SRCI was more sensitive for evaluating the intervention, but the RFCI may be easier to use for communicating public health significance.

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Section: Methodsmentioning

confidence: 99%

Physical activity and dietary behavior change in Internet-based weight loss interventions: Comparing two multiple-behavior change indices

Carlson

Sallis

Ramírez

et al. 2012

Preventive Medicine

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“…When the selected covariate is timeinvariant, it is meaningful to enquire as to the relationship between the covariate and the individual growth. In addition, the "process-product" paradigm in research on teaching provides many examples of correlates of student learning using measures of teachers' classroom behavior as covariate (for instance, Berliner, 1976;Borich, 1979;Medley, 1979;Veldman & Brophy, 1974).7 Thus, for instance, an investigator may wish to examine the relationship between the socioeconomic status of the home and individual growth in academic achievement at school. Wohlwill (1980) provided an overview of such studies.…”

Section: Differences In Growthmentioning

confidence: 99%

Questions and Answers in the Measurement of Change

Willett¹

1988

Review of Research in Education

321

403

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“…Residualized change scores are referred to as "base-free" measures of change (Tucker et al, 1966) and are viewed as superior to simple pretest -posttest difference scores (Veldman and Brophy, 1974). Residualized change scores are a standard statistical technique and have been used in examining predictors of change in children's physical activity (Sallis et al, 1999).…”

Section: Methods 2 Combined Change Scoresmentioning

confidence: 99%

Methods of quantifying change in multiple risk factor interventions

Prochaska

Velicer

Nigg

et al. 2008

Preventive Medicine

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Objective-Risky behaviors such as smoking, alcohol abuse, physical inactivity, and poor diet are detrimental to health, costly, and often co-occur. Greater efforts are being targeted at changing multiple risk behaviors to more comprehensively address the health needs of individuals and populations. With increased interest in multiple risk factor interventions, the field will need ways to conceptualize the issue of overall behavior change.Method-Analyzing data from over 8,000 participants in four multibehavioral interventions, we present five different methods for quantifying and reporting changes in multiple risk behaviors.Results-The methods are: (a) the traditional approach of reporting changes in individual risk behaviors; (b) creating a combined statistical index of overall behavior change, standardizing scores across behaviors on different metrics; (c) using a behavioral index; (d) calculating an overall impact factor; and (e) using overarching outcome measures such as quality of life, related biometrics, or cost outcomes. We discuss the methods' interpretations, strengths, and limitations.Conclusion-Given the lack of consensus in the field on how to examine change in multiple risk behaviors, we recommend researchers employ and compare multiple methods in their publications. A dialogue is needed to work towards developing a consensus for optimal ways of conceptualizing and reporting changes in multibehavioral interventions.

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Measuring teacher effects on pupil achievement.

Cited by 39 publications

References 6 publications

Physical activity and dietary behavior change in Internet-based weight loss interventions: Comparing two multiple-behavior change indices

Physical activity and dietary behavior change in Internet-based weight loss interventions: Comparing two multiple-behavior change indices

Questions and Answers in the Measurement of Change

Methods of quantifying change in multiple risk factor interventions

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