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Power analysis and determination of sample size for covariance structure modeling.
, 1996A framework for hypothesis testing and power analysis in the assessment of fit of covariance structure models is presented. We emphasize the value of confidence intervals for fit indices, and we stress the relationship of confidence intervals to a ...
R. Maccallum +2 more
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A Sample is a Sample is a Sample
Teaching Statistics, 1981The exercise described has been used for students on the BEC Higher Diploma Course. They average 19 years of age and rarely arrive arrive with Mathematics beyond O‐level. Teachers on BEC National and A‐level Statistics courses should also find the exercise of interest.
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Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study
, 2004This study focuses on burnout and its positive antipode—engagement. A model is tested in which burnout and engagement have different predictors and different possible consequences. Structural equation modeling was used to simultaneously analyze data from
W. Schaufeli, A. Bakker
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Sampling the Difficult-to-Sample
The Journal of Nutrition, 1991Difficult-to-sample populations are defined as rare populations or populations that are difficult to locate, enumerate or interview. This definition includes subgroups of the United States population that are at increased risk of adverse health effects associated with malnutrition.
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[An analysis of coping in a middle-aged community sample].
Kango kenkyu. The Japanese journal of nursing research, 1980This study analyzes the ways 100 community-residing men and women aged 45 to 64 coped with the stressful events of daily living during one year. Lazarus's cognitive-phenomenological analysis of psychological stress provides the theoreticalframework ...
S. Folkman, R. Lazarus
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Principles of Nano-Optics: Probe–sample distance control
, 20061. Introduction 2. Theoretical foundations 3. Propagation and focusing of optical fields 4. Spatial resolution and position accuracy 5. Nanoscale optical microscopy 6. Near-field optical probes 7. Probe-sample distance control 8.
L. Novotný, B. Hecht
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Sampling and Sample Preparation
2014Sampling and sample preparation include the treatment of the theory, the methodology of sampling in all physical phases, and the theory of sample preparation for all major extraction techniques. The analytes in food sample are randomly distributed and variability.
Ozyurt V.H., Otles S.
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Small sample inference for fixed effects from restricted maximum likelihood.
Biometrics, 1997Restricted maximum likelihood (REML) is now well established as a method for estimating the parameters of the general Gaussian linear model with a structured covariance matrix, in particular for mixed linear models. Conventionally, estimates of precision
M. Kenward, J. Roger
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Spirometric reference values from a sample of the general U.S. population.
American Journal of Respiratory and Critical Care Medicine, 1999Spirometric reference values for Caucasians, African-Americans, and Mexican-Americans 8 to 80 yr of age were developed from 7,429 asymptomatic, lifelong nonsmoking participants in the third National Health and Nutrition Examination Survey (NHANES III ...
J. Hankinson, J. Odencrantz, K. Fedan
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Sampling, Sample Moments and Sampling Distributions [PDF]
, 2012 Prior to this point, our study of probability theory and its implications has essentially addressed questions of deduction, being of the type: “Given a probability space, what can we deduce about the characteristics of outcomes of an experiment?” Beginning with this chapter, we turn this question around, and focus our attention on statistical inference
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