The 24-hour food frequency assessment screening tool (FAST24): Development and evaluation of a novel dietary screener to identify foods associated with weight change.

Background & Aims: Brief screening questionnaires can identify 'at risk' behaviors in clinical settings. However, there is currently no screener for dietary intake specifically developed using foods associated with body weight change and increased risk for multiple chronic conditions and diseases.

Methods: We developed a novel brief dietary screener, the 24-Hour Food Frequency Assessment Screening Tool Questionnaire (FAST24), to identify intake of foods associated with weight change.

Conflict of interest explains the size of student evaluation of teaching and learning correlations in multisection studies: a meta-analysis.

We examined the associations between the size of student evaluation of teaching and learning (SET/learning) correlations and presence of several conflicts of interest (COIs) including corporate, administrative, evaluation unit, SET author, and funder interests. Our meta-analyses of SET/learning correlations reported by multisection studies show that researchers with a vested interest in finding large positive SET/learning correlations found, on average, large positive SET/learning correlations. In contrast, researchers with no identifiable COIs found that SET/learning correlations were zero or nearly zero.

Meta-analyses of positive psychology interventions: The effects are much smaller than previously reported.

For at least four decades, researchers have studied the effectiveness of interventions designed to increase well-being. These interventions have become known as positive psychology interventions (PPIs). Two highly cited meta-analyses examined the effectiveness of PPIs on well-being and depression: Sin and Lyubomirsky (2009) and Bolier et al.

Prospective memory, retrospective memory, and individual differences in cognitive abilities, personality, and psychopathology.

Although individual differences in processing speed, working memory, intelligence, and other cognitive functions were found to explain individual differences in retrospective memory (RetM), much less is known about their relationship with prospective memory (ProM). Moreover, the studies that investigated the relationship between ProM and cognitive functions arrived to contradictory conclusions. The relationship between ProM, personality, and psychopathology is similarly unsettled.

The numbers tell it all: students don't like numbers!

Undergraduate Students' interest in taking quantitative vs. non quantitative courses has received limited attention even though it has important consequences for higher education. Previous studies have collected course interest ratings at the end of the courses as part of student evaluation of teaching (SET) ratings, which may confound prior interest in taking these courses with students' actual experience in taking them.

Prospective memory, personality, and individual differences.

A number of studies investigating the relationship between personality and prospective memory (ProM) have appeared during the last decade. However, a review of these studies reveals little consistency in their findings and conclusions. To clarify the relationship between ProM and personality, we conducted two studies: a meta-analysis of prior research investigating the relationships between ProM and personality, and a study with 378 participants examining the relationships between ProM, personality, verbal intelligence, and retrospective memory.