The Very Lazy ABT-263's Method To Be Successful

mturk.com/mturk/welcome). MTurk allows data collectors to recruit participants (called workers) online for completing different tasks in change for wages. This method for data collection online is an empirical tested valid tool for conducting research in the social sciences (see Buhrmester, Kwang & Gosling, 2011). Participants were recruited by the following criteria: US-resident and English fluency and literacy. Participants were paid a wage of 50 cents (American dollars) for completing the task and informed that the ABT-263 mw study was confidential and voluntary. The participants were presented with a battery of self-reports comprising the affect and happiness measures, as well as questions pertaining age and gender. Instruments Happiness-increasing strategies scales (H-ISS; Tkach & Lyubomirsky, 2006) The instrument consists of 35 strategies/items which participants are asked to rate how often they use in order to increase their happiness (1 = never, 7 = all the selleck screening library time). The responses are originally organized in eight clusters or scales: Social Affiliation (e.g., ��Support and encourage friends��), Partying and Clubbing (e.g., ��Drink alcohol��), Mental Control (e.g., ��Try not to think about being unhappy��), Instrumental Goal Pursuit (e.g., ��Study��), Passive Leisure (e.g., ��Surf the internet��), Active Leisure (e.g. ��Exercise��), Religion (e.g., ��Seek support from faith��), and Direct Attempts (e.g., ��Act happy/smile, etc��.). The positive affect and negative affect schedule (Watson, Clark & Tellegen, 1988) Participants are instructed to rate to what extent they generally have experienced 20 (10 positive ROR1 and 10 negative) different feelings or emotions during the last weeks, using a 5-point Likert scale (1 = very slightly, 5 = extremely). The 10-item positive affect scale includes adjectives such as strong, proud, and interested (Cronbach��s �� = .90 in the present study). The 10-item negative affect scale includes adjectives such as afraid, ashamed and nervous (Cronbach��s �� = .88 in the present study). Results Factor structure of the happiness-increasing strategies scales (H-ISS) We conducted a confirmatory analysis using structural equation modeling (SEM) on the 35 items to estimate the eight factors of the H-ISS as suggested in the original article by Tkach & Lyubomirsky (2006). Tkach & Lyubomirsky��s original work (2006) showed that there are significant correlations between these eight scales, which potentially introduce the problem of multicollinearity. Thus, the data was analysed using SEM in order to control multicollinearity among the eight latent factors. The possible covariance between the eight different factors was taken into account in a hypothesized structural equation model (see Fig. 1). The analysis showed that chi-square value was significant (Chi2 = 2366.10, df = 531, p