Authentic happiness is a construct comprising 3 factors: pleasure, engagement, and meaning (Seligman, Parks, & Steen, 2005). Three studies involving altogether 464 participants adapted and validated the authentic happiness measure Steen Happiness Index (SHI; Seligman, Steen, Park, & Peterson, 2005) into Polish. In Study 1 the Polish version of the scale was developed and its convergence with the original SHI was assessed using bilingual response method, r = .98, p < .001. In Study 2 cluster analysis confirmed the theoretical profiles of happiness, testing the proposed 3-factor structure of the scale, χ2 (116) = 180.62, GFI = .95, CFI=.97, SRMR = .04, RMSEA = .04, RMSEA 90% CI [.25 - .45]. Test-retest reliability (Study 3) yielded satisfactory results, rtt = .87, p < .01. This is the first study providing empirical support for the structural validity of the authentic happiness construct. It also shows the cross-cultural generality of the construct. We discuss some practical applications of the scale.
Authentic happiness is a construct comprising 3 factors: pleasure, engagement, and meaning (Seligman, Parks, & Steen, 2005). Three studies involving altogether 464 participants adapted and validated the authentic happiness measure Steen Happiness Index (SHI; Seligman, Steen, Park, & Peterson, 2005) into Polish. In Study 1 the Polish version of the scale was developed and its convergence with the original SHI was assessed using bilingual response method, r = .98, p < .001. In Study 2 cluster analysis confirmed the theoretical profiles of happiness, testing the proposed 3-factor structure of the scale, χ2 (116) = 180.62, GFI = .95, CFI=.97, SRMR = .04, RMSEA = .04, RMSEA 90% CI [.25 - .45]. Test-retest reliability (Study 3) yielded satisfactory results, rtt = .87, p < .01. This is the first study providing empirical support for the structural validity of the authentic happiness construct. It also shows the cross-cultural generality of the construct. We discuss some practical applications of the scale.
A comprehensive understanding of participants’ motives to complete web-based surveys has the potential to improve data quality. In this study we tested the construct validity of a scale developed to measure motivation to participate in webbased surveys. We expected that 7 different motivations observed in our previous study will form a 3-factor structure, as predicted by Self-Determination Theory. This web-based questionnaire study comprised 257 participants completing the Voluntary Participation in Online Studies Scale. Their responses to 21 items underwent a principal component analysis and confi rmatory factor analysis. As we expected, three factors were identifi ed: intrinsic motivation, extrinsic motivation and amotivation. In line with Self-Determination Theory there are three distinct groups of motives among web-surveys participants with amotivation as an understudied motivational state. We discuss the results suggesting which types of motivation might lead to higher quality of data with an emphasis on possible negative effects of amotivation.
A comprehensive understanding of participants’ motives to complete web-based surveys has the potential to improve data quality. In this study we tested the construct validity of a scale developed to measure motivation to participate in webbased surveys. We expected that 7 different motivations observed in our previous study will form a 3-factor structure, as predicted by Self-Determination Theory. This web-based questionnaire study comprised 257 participants completing the Voluntary Participation in Online Studies Scale. Their responses to 21 items underwent a principal component analysis and confi rmatory factor analysis. As we expected, three factors were identifi ed: intrinsic motivation, extrinsic motivation and amotivation. In line with Self-Determination Theory there are three distinct groups of motives among web-surveys participants with amotivation as an understudied motivational state. We discuss the results suggesting which types of motivation might lead to higher quality of data with an emphasis on possible negative effects of amotivation.
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