An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex that were activated secondary to hand movement were identified using functional MRI methodology (FMRI). Time courses of low frequency (< 0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal correlation (P < 10(-3)) within these regions and also with time courses in several other regions that can be associated with motor function. It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

The adequate measurement of abstract constructs is perhaps the greatest challenge to understanding the behavior of people in organizations. Problems with the reliability and validity of measures us...

/pdf/a-brief-tutorial-on-the-development-of-measures-for-use-in-16nqnp1opp.pdf

A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires

The effects of using two methods (item mean and person mean) for replacing missing data in Likert scales were studied. The results showed that both methods were good representations of the original data when both the number of respondents with missing data and the number of items missing were 20% or less. As the numbers of missing items and of respondents with missing data increased for the person mean substitution method, a spurious increase in the inter-item correlations (and, therefore, reliability) for the scale was produced. The item mean substitution reduced the reliability estimates of the scale. These results suggest caution in the use of the person mean substitution method as the numbers of missing items and respondents increase.

Missing Data in Likert Ratings: A Comparison of Replacement Methods

Likert-type scales are one of the most commonly used instruments in social sciences and market research. Nonetheless, there is some debate regarding the format needed in these scales to obtain quality data. This study is a review of Likert-type scale formats and their association with data quality. To that effect, a systematic review was performed, along with a synthesis of content, to identify a series of topics that are relevant due to their methodological implications: response bias and styles, the optimal number of alternatives, reasons for choosing the intermediate response, and the effect of the “No Opinion” alternative. On the basis of an analysis and discussion of these topics, the study presents some recommendations for formatting in the conclusions.

/pdf/diseno-del-formato-de-escalas-tipo-likert-un-estado-de-la-43g6x2bidp.pdf

Diseño del formato de escalas tipo Likert: un estado de la cuestión

How can we tell whether resource-dependent people are socially resilient to institutional change? This question is becoming increasingly important as demand for natural resources escalates, requiring resource managers to implement policies that are increasingly restrictive on resource users. Yet policy changes are frequently made without a good understanding of the likely social and economic consequences. Knowledge of the resilience of resource users to changes in resource-use policies can assist in the design and implementation of policies that minimize the impacts on people while maximizing the sustainability of ecosystem goods and services. Despite the appeal of resilience as a framework for sustaining human-environment relations, there has been a distinct lack of explicit application of the concept by natural- resource managers. In response, we build on general resilience theory to develop a conceptual model of social resilience for resource-dependent users. We test and refine the operational virtues of the model using the commercial fishing industry in North Queensland. Detailed surveys of individual resource users provide data on historic response, expected well-being, and capacity as a basis for assessing resilience. We find that the response of fishers to generic yet anticipated change events is determined by four key characteristics: (1) perception of risk associated with change; (2) perception of the ability to plan, learn, and reorganize; (3) perception of the ability to cope; and (4) level of interest in change. These responses represent relative measures of the likely response of resource users to prospective changes in resource policy that affect the way in which the resource is used or accessed.

/pdf/conceptualizing-and-operationalizing-social-resilience-4am89v1x2o.pdf

Conceptualizing and operationalizing social resilience within commercial fisheries in northern Australia

A technique for the measurement of attitude scales

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A technique for the measurement of attitude scales