Replication study to be completed at Avila University for a course project. The course is psychology statistics and methods II. We plan on collecting data from 200 participants by using Amazon's Mechanical Turk. We'll offer participants $.20 for completing the survey which should take less than 5 minutes. In the original study, the authors used Gallup World Poll data to evaluate different predictors of subjective well-being. Subjective well-being was measured by: (1) scores on Cantril's Self-Anchoring Striving Scale; (2) Positive feelings experienced the previous day, and (3) negative feelings experienced the previous day. The predictors were: (a) Whether the person's basic needs (food and shelter) have been met, (b) Whether the person has luxury conveniences met, (c) Social psychological predictors, and (d) Economic predictors. These are measured in the following ways: *- SUBJECTIVE WELL-BEING (OUTCOME) VARIABLES:* - Cantril's Self-Anchoring Striving Scale: Measured with two questions: (1) evaluating their current life on a scale of 0 to 10; (2) evaluating their future life on a scale of 0 to 10; the average of these two numbers represents the score for this scale. - Positive feelings: whether they experienced a lot of (1) **enjoyment** and (2) **smiling or laughing** during the previous day. "Yes" responses are given a 1 and "No" responses are given a 0. Scores on these two questions are averaged. - Negative feelings: whether they experienced a lot of (1) **worry**, (2) **sadness**, (3) **depression**, and (4) **anger** during the previous day. "Yes" responses are given a 1 and "No" responses are given a 0. Scores on these four questions are averaged. *- PREDICTORS:* - **Economic predictors:** - Annual household income (which will be log transformed) - Basic needs: Participants are asked if there have been times in the past 12 months when they: (1) did not have enough money to buy food and (2) did not have enough money to provide adequate shelter for themselves and their family. "Yes" responses score a 1 and "No" responses score a 0, and their scores on these two questions are averaged. - Luxury/conveniences: Participants are asked if their home has a (1) television, (2) computer, and (3) access to the internet. "Yes" responses score a 1 and "No" responses score a 0, and their scores on these three questions are averaged. - Happiness with standard of living measured on a Yes/No (1 or 0) scale - **Social Psychological Predictors**: - Participants are asked if they: (1) were treated with respect on the previous day, (2) have family or friends they can count on in an emergency, (3) learned something interesting the previous day, (4) did what they did best the previous day, and (5) chose how they spent their time the previous day. "Yes" responses score a 1 and "No" responses score a 0; responses on these five scores are averaged. As in the original paper, we will perform three hierarchical regression analyses where we predict each of the three outcome variables by adding the predictors in four blocks: (1) Basic needs, (2) Social Psychological needs, (3) Conveniences & satisfaction with standard of living, and (4) log income. ***[DIRECT+PLUS replication][1]*** -- this project is participating in a [Direct+Plus CREP replication][2] of this study to test a new social status measure. We have added two questions at the end of the questionnaire that we refer to as "social safety net questions." One asks the participants to rate how confident they are they could get 300 dollars if needed, and the other one asks the same thing but for 5000 dollars. Our purpose in measuring responses to these is to attempt to start to validate these questions for use as measures of financial security. We will use regression analyses to determine if these questions are valid predictors of reported income. **Abstract from Original Study** The Gallup World Poll, the first representative sample of planet Earth, was used to explore the reasons why happiness is associated with higher income, including the meeting of basic needs, fulfillment of psychological needs, increasing satisfaction with one's standard of living, and public goods. Across the globe, the association of log income with subjective well-being was linear but convex with raw income, indicating the declining marginal effects of income on subjective well-being. Income was a moderately strong predictor of life evaluation but a much weaker predictor of positive and negative feelings. Possessing luxury conveniences and satisfaction with standard of living were also strong predictors of life evaluation. Although the meeting of basic and psychological needs mediated the effects of income on life evaluation to some degree, the strongest mediation was provided by standard of living and ownership of conveniences. In contrast, feelings were most associated with the fulfillment of psychological needs: learning, autonomy, using one's skills, respect, and the ability to count on others in an emergency. Thus, two separate types of prosperity—economic and social psychological—best predict different types of well-being. **Notes from CREP Team** [1]: https://osf.io/ar5fc/ [2]: https://osf.io/ar5fc/