Publications by authors named "Andrew T Jebb"

Developing self-report Likert scales is an essential part of modern psychology. However, it is hard for psychologists to remain apprised of best practices as methodological developments accumulate. To address this, this current paper offers a selective review of advances in Likert scale development that have occurred over the past 25 years.

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Using representative cross-sections from 166 nations (more than 1.7 million respondents), we examined differences in three measures of subjective well-being over the life span. Globally, and in the individual regions of the world, we found only very small differences in life satisfaction and negative affect.

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Background: The present study explored the potential for internet search data to serve as indicators of subjective well-being (SWB) and predictors of health at the state and metro area levels. We propose that searches for positive and negative affect-related terms represent information-seeking behavior of individuals who are experiencing emotions and seeking information about them.

Method: Data on the frequency of Google searches for 15 affect terms were collected from Google's Trends website (trends.

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Income is known to be associated with happiness , but debates persist about the exact nature of this relationship . Does happiness rise indefinitely with income, or is there a point at which higher incomes no longer lead to greater well-being? We examine this question using data from the Gallup World Poll, a representative sample of over 1.7 million individuals worldwide.

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When playing musical passages, performers integrate the pitch content of auditory feedback with current action plans. However, this process depends on the degree to which the musical structure of the feedback melody is perceived as similar to the structure of what is planned. Four experiments reported here explored the relationship between the tonal class of planned melodies (tonal or atonal) and the sequence of events formed by auditory feedback.

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Psychological research has increasingly recognized the importance of integrating temporal dynamics into its theories, and innovations in longitudinal designs and analyses have allowed such theories to be formalized and tested. However, psychological researchers may be relatively unequipped to analyze such data, given its many characteristics and the general complexities involved in longitudinal modeling. The current paper introduces time series analysis to psychological research, an analytic domain that has been essential for understanding and predicting the behavior of variables across many diverse fields.

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