2021
DOI: 10.1016/j.anr.2020.12.002
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Development and Validation of the Happiness Scale for Middle-Aged Women Based on Existence, Relation, and Growth Theory

Abstract: This study aimed at developing a happiness assessment scale for middle-aged women (HAS-MW) in Korea. Methods: Preliminary items for the scale were drafted from the results of literature review and personal interviews and open-ended questions with women in the community. The interviews were based on the theory of existence, relatedness, and growth. After validating a preliminary scale, we analyzed the validity and reliability of the new scale items, and model fit. We surveyed 600 women aged 40 years to 64 years… Show more

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Cited by 6 publications
(6 citation statements)
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“…For the items with high discriminability, the proportion of high-score groups is higher than lowscore groups (Wu Minglong, 2010;Wood E, Ohlsen S, 2018;Shin HJ, Kim JI, 2019;). [10][11][12][13][14][15][16][17] In the discriminability analysis, first convert the reverse-scored items, sum up the total scores of the test and arrange them in order, then take the first 27% as the high-score group and the last 27% as the low-score group according to the score ranking. Using the re-coding program, the subjects of high-score group are coded as 2 and those of the low-score group as 1, then carry out the independent sample t-test of each item on the subjects of the high-score group and the low-score group, analyze the discriminability of each item, eliminate the items with no significant difference between the high-score group and the low-score group, because they are weak in distinguishing the high-score group and the low-score group.…”
Section: Item Analysismentioning
confidence: 99%
“…For the items with high discriminability, the proportion of high-score groups is higher than lowscore groups (Wu Minglong, 2010;Wood E, Ohlsen S, 2018;Shin HJ, Kim JI, 2019;). [10][11][12][13][14][15][16][17] In the discriminability analysis, first convert the reverse-scored items, sum up the total scores of the test and arrange them in order, then take the first 27% as the high-score group and the last 27% as the low-score group according to the score ranking. Using the re-coding program, the subjects of high-score group are coded as 2 and those of the low-score group as 1, then carry out the independent sample t-test of each item on the subjects of the high-score group and the low-score group, analyze the discriminability of each item, eliminate the items with no significant difference between the high-score group and the low-score group, because they are weak in distinguishing the high-score group and the low-score group.…”
Section: Item Analysismentioning
confidence: 99%
“…The well-established data collection technique is deemed the most suitable method for this research on the financial independence of women. Mostly, social science research uses the Likert scale method to capture respondents’ perception, opinions, beliefs and attitudes easily and to ensure greater generalizability in the interpretation of data gathered (Agha et al , 2017; Alzoubi et al , 2019; Shin and Kim, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…As definições individuais de felicidade podem variar, tornando difícil mensurar a felicidade individual com uma simples pergunta e, baseado nessa premissa, a Escala Subjetiva de Felicidade mede a percepção de felicidade de cada indivíduo através de um conjunto de quatro perguntas que devem ser respondidas em escala de 1 a 7. 23 Essa escala possui quatro itens (Likert de 7 pontos), sendo que maiores pontuações indicam melhor percepção de felicidade subjetiva. Essa escala apresentou confiabilidade razoável na validação brasileira (α=0,67) 24 e no presente estudo (α=0,63).…”
Section: Variável Independenteunclassified