The Adoption of Integrated Pest Management Practices Among Texas Cotton Growers1

Abstract Agricultural technologies are becoming increasingly complex requiring farmers to bundle selected technologies. Technology bundling results in a variety of different farming systems. Features of diffusion and farming systems theories are combined to define an analytical model, which assesses background, diffusion, and technology belief factors' influence on growers' adoption of integrated pest management (IPM) practices and cotton yields. We selected a proportionate random sample of growers (n = 722) from 14 cotton-producing counties in Texas. A telephone survey was conducted in 1985 resulting in a response rate of 76 percent. Findings demonstrated the importance of different sources of IPM information to particular status groups of growers. Information sources produced positive effects on growers' beliefs about IPM benefits and growers' adoption of three IPM practices. IPM adoption resulted in higher yields of upland and pima cotton per acre.     

Report on the Construct Validity of the Temporal Satisfaction With Life Scale

This study evaluated the factorial and convergent validity of theTemporal Satisfaction With Life Scale (TSWLS; Pavot, Diener andSuh, 1998), which was designed to measure past, present, andfuture life satisfaction. A sample of psychology undergraduates(N = 223) was administered a questionnaire containing the TSWLSand a global measure of past, present, and future subjectivewell-being (SWB), the Self-Anchoring Striving Scale (SASS;Kilpatrick and Cantril, 1960). Results of covariance structureanalyses supported a 3-factor model (past, present, and futurelife satisfaction as distinct, yet correlated, factors) for theTSWLS, demonstrated that item responding was only slightlycontaminated by an acquiescence bias, and showed that each of thepast, present, and future dimensions of the TSWLS was moststrongly related to its corresponding global SWB rating on theSASS. Theoretical and practical implications are discussed.     

Predicting presidential performance: A human capital approach

Our research analyzes the job performance of U.S. Presidents within the context of the human capital model, which relates an individual's current job success to objectively measurable activities undertaken in the past. It is seen that a small amount of information is sufficient to create a quite accurate prediction of the quality of performance to be expected from an individual as President. The issues of whether the public really has a “choice” in Presidential elections and which of the 1980 candidates is most likely to be a successful President are also examined.     

Social Media and Social Movements

What role does social media play in social movements and political unrest? Twitter, Facebook, Instagram, and Google have all been cited as important components in social revolutions, including those in Tunisia, Egypt, Iceland, Spain, and the global Occupy movement. This essay explores social science claims about the relationship between social networking and social movements. It examines research done on the relationship between social networking, the promotion of activism, and the offline participation in the streets. Can the technology of social networking help activists to achieve their goals? If so, is it just one of many tools they may use, or is the technology so powerful that the right use will actually tip the scales in favor of the social movement? This scholarship divides into optimistic, pessimistic, and ambivalent approaches, turning on an oft‐repeated question: will the revolution be tweeted?     

Normalization rules for item response models: Simulation results

ABSTRACT

This research examines the statistical methodology that is used to estimate the parameters in item response models. An integral part of an item response model is the normalization rule that is used to identify the distributional parameters. The main result shown here is that only Verhelst–Glas normalizations that arbitrarily set one difficulty and one dispersion parameter to unity are consistent with the basic assumptions underlying the two-parameter logistic model. Failure to employ this type of normalization will lead to scores that depend on the item composition of the test and differential item difficulty (DIF) will compromise the validity of the estimated ability scores when different groups are being compared. It is also shown that some of the tests for DIF fail when the data are generated by an IRT model with a random effect. Most of the results are based on simulations of a four item model. Because the data generation mechanism is known, it is possible to determine the effect on ability scores and parameter estimates when different normalizations or different distribution parameter values are used.     

Determinants of workplace health program participation among non,low, and incentive-achieving participants

The authors used a cross-sectional survey and zero-inflated ordered probit modeling to investigate individual psychosocial-, interpersonal-, organizational-, and community-level determinants distinguishing nonparticipants, low-level participants, and incentive-achieving participants in a single, university-based worksite health program (WHP) that uses insurance premium reductions to incentivize participation. Results from 319 employees suggested two nonparticipant groups. Persons without employer-sponsored insurance, those with negative participation perceptions, and men were more likely to be “never” participants; those who had never met the incentive were potential future participants. Increased confidence was related to incentive achievement; stress was associated with low participation. No interpersonal, organizational, or community factors were significant. When structuring incentives, WHPs should consider determinants of participation, vis-à-vis the incentive.