The Development and Validation: The Scale of Subjective Well-Being for Mother (SSWB-M)

Abstract The objectives of this study were to develop the Scale of Subjective Well-Being for Mother (SSWB-M), and to examine the psychometric properties of SSWB-M that have been developed. The results of this study show that The developed Scale of Subjective Well-Being for Mother (SSWB-M) consists of The Scale of Life Satisfaction in Family Domain (SLS-FD) and the Positive and Negative Affect Scale in Family Domain (PANAS-FD).The Scale of Life Satisfaction in Family Domain (SLS-FD) showing a match with chi-square = 147.190 (p = 0.118), GFI = 0.881, AGFI = 0.805, CFI = 0.984, TLI = 0.977, and RMSEA = 0.039 describes a good goodness of fit. Overall reliability has a high value of Alpha Cronbach coefficient, which is 0.892, and composite reliability of 0.984. Positive - Negative Affect Scale in Family Domain (PANAS-FD) shows the results of evaluation of fit model  with chi square = 46,450 (p = 0,332), GFI = 0,925, AGFI = 0,886, CFI = 0,995, TLI = 0,994, and RMSEA = 0,028 describes that the goodness of fit is good. Overall, on PANAS-FD have the composite reliability is 0.950, and the Alpha Cronbach is 0.763. The Scale of Subjective Well-Being for Mother (SSWB-M), the two sub-scales have high validity and reliability, therefore it can be used to measure subjective well-being in young mothers. Keywords: Development, validation, SSWB-

Theory\u27s Pleasures: Literature, Science, Dinosaurs

Reading for Pleasure (Essay Review

The BG News August 29, 2014

The BGSU campus student newspaper, August 29, 2014 Volume 94 - Issue 4https://scholarworks.bgsu.edu/bg-news/9760/thumbnail.jp

A Review of Automotive Spare-Part Reconstruction Based on Additive Manufacturing

In the Industry 4.0 scenario, additive manufacturing (AM) technologies play a fundamental role in the automotive field, even in more traditional sectors such as the restoration of vintage cars. Car manufacturers and restorers benefit from a digital production workflow to reproduce spare parts that are no longer available on the market, starting with original components, even if they are damaged. This review focuses on this market niche that, due to its growing importance in terms of applications and related industries, can be a significant demonstrator of future trends in the automotive supply chain. Through selected case studies and industrial applications, this study analyses the implications of AM from multiple perspectives. Firstly, various types of AM processes are used, although some are predominant due to their cost-effectiveness and, therefore, their better accessibility and wide diffusion. In some applications, AM is used as an intermediate process to develop production equipment (so-called rapid tooling), with further implications in the digitalisation of conventional primary technologies and the entire production process. Secondly, the additive process allows for on-demand, one-off, or small-batch production. Finally, the ever-growing variety of spare parts introduces new problems and challenges, generating constant opportunities to improve the finish and performance of parts, as well as the types of processes and materials, sometimes directly involving AM solution providers