Little Jiffy, Mark Iv

Kaiser, Henry F.; Rice, John R.

doi:10.1177/001316447403400115

Cited by 2,332 publications

(1,416 citation statements)

References 9 publications

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“…These items reflected activities aside from everyday transportation that required time beyond the work day. Although the Kaiser-Meyer-Olkin (K-M-O) statistic for the factors was low (.51), it exceeded the threshold for factor analysis (Kaiser, 1974). Additionally, the two factors parallel those identified by Baecke, Burema, and Fritjers (1982).…”

Section: Resultsmentioning

confidence: 94%

Virtual Self-Modeling: The Effects of Vicarious Reinforcement and Identification on Exercise Behaviors

2009

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Social cognitive theory is often implemented when researchers develop treatments and campaigns for health behavior change. Immersive virtual environment technology (IVET) enables novel explorations of health behavior modeling. In Study 1, participants were randomly assigned to one of three treatments: vicarious reinforcement, in which a virtual representation of the physical self (VRS) gained or lost weight in accordance with participants' physical exercise; an unchanging VRS; or no virtual representation. The reinforcement group performed significantly more exercise in a voluntary phase than those in other conditions. Study 2 separated reward (weight loss) from punishment (weight gain) and also explored model identification by contrasting the effects of a VRS with a VRO (virtual representation of an other); participants exercised significantly more when they viewed the VRS, regardless of whether reward or punishment was shown. In Study 3, participants were exposed to either a VRS running on a treadmill, a VRO running, or a VRS loitering, and we examined effects 24 hours after the experiment. Follow-up surveys revealed that participants in the VRS-running condition demonstrated significantly higher levels of exercise than those in other conditions. We discuss implications for media use and health communication.Social cognitive theory (Bandura, 1977(Bandura, , 2001) describes the power of a model demonstrating a behavior to encourage modeling by an observer. Several factors, including the similarity of the model, the observer's perceived ability to perform the behavior, and the rewards and punishments associated with

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Section: Resultsmentioning

confidence: 94%

Virtual Self-Modeling: The Effects of Vicarious Reinforcement and Identification on Exercise Behaviors

2009

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“…There was a ratio of at least 2:1 participants to variables [43], and examination of the correlation matrix revealed a high proportion of correlations over 0.3, indicating the data was factorable [45]. Kaiser and Rice's [46] Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was 0.844, and Bartlett's test of sphericity was significant ([chi square] = 3326.12, p < .001), indicating high sampling adequacy [47].…”

Section: Insert Table One Here 32 Selection Of Items For Factor Analmentioning

confidence: 99%

The Hot Flush Beliefs Scale: A tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats

2008

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“…The first four components were considered in the factors analysis, with eigenvalues higher than one, which in this case, showed an acceptable interval (Kaiser and Rice, 1974). These principal components explain approximately 75% of the total variance (Table 2).…”

Section: Resultsmentioning

confidence: 99%

Spatial variability of an Alfisol cultivated with sugarcane

et al. 2011

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Soil variability occurs due to natural and anthropogenic factors acting at various spatial and temporal scales. The purpose of this study was to evaluate the spatial variability as well as the relation of some chemical attributes using different statistical techniques. The study was conducted in the municipality of Maracanaú (CE, Brazil) in the commercial area of sugar cane in a typic Hapludalf. Soils were sampled in a 100 x 100 m grid every 10 m and at a depth between 0 and 20 cm for determination of exchangeable acidity, pH (KCl), Ca, Na, K, Mg, P, N, sum of bases, cationic exchange capacity, base saturation and organic matter. Data were subjected to analysis of descriptive statistics, multivariate analysis and geostatistics. Attributes showed low and medium variability, except for pH that did not show spatial dependence. Different statistical tools helped to identify the soil spatial variability and to get a better understanding of relationships among different attributes. Techniques also allowed to better plan and control agricultural production, especially in carrying out site specific management of agricultural inputs.

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Little Jiffy, Mark Iv

Cited by 2,332 publications

References 9 publications

Virtual Self-Modeling: The Effects of Vicarious Reinforcement and Identification on Exercise Behaviors

Virtual Self-Modeling: The Effects of Vicarious Reinforcement and Identification on Exercise Behaviors

The Hot Flush Beliefs Scale: A tool for assessing thoughts and beliefs associated with the experience of menopausal hot flushes and night sweats

Spatial variability of an Alfisol cultivated with sugarcane

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