2002
DOI: 10.1590/s1413-294x2002000300004
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Regressão múltipla stepwise e hierárquica em Psicologia Organizacional: aplicações, problemas e soluções

Abstract: Este artigo discute algumas aplicações das técnicas de análise de regressão múltipla stepwise e hierárquica, as quais são muito utilizadas em pesquisas da área de Psicologia Organizacional. São discutidas algumas estratégias de identificação e de solução de problemas relativos à ocorrência de erros do Tipo I e II e aos fenômenos de supressão, complementaridade e redundância nas equações de regressão múltipla. São apresentados alguns exemplos de pesquisas nas quais esses padrões de associação entre variáveis es… Show more

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Cited by 81 publications
(73 citation statements)
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References 14 publications
(16 reference statements)
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“…Several authors have pointed out that there are perceived negative features which limit the purchase of green products, including price, quality, performance, availability, and convenience (D'Souza et al, 2007;Wagner, 1997). These factors may also be significant as mediators or moderators of the relationships between the variables of a model (Abbad & Torres, 2002;Shrout & Bolger, 2002;Vieira, 2009). This could explain why environmental intentions might not lead to green product purchase behavior.…”
Section: Situational Factors: Availability Price and Perceived Qualitymentioning
confidence: 99%
“…Several authors have pointed out that there are perceived negative features which limit the purchase of green products, including price, quality, performance, availability, and convenience (D'Souza et al, 2007;Wagner, 1997). These factors may also be significant as mediators or moderators of the relationships between the variables of a model (Abbad & Torres, 2002;Shrout & Bolger, 2002;Vieira, 2009). This could explain why environmental intentions might not lead to green product purchase behavior.…”
Section: Situational Factors: Availability Price and Perceived Qualitymentioning
confidence: 99%
“…This means the proposition of a moderation ratio and multiple regressions can be used to identify moderating variables. To test the proposed moderation, Abbad and Torres (2002) stated that it must be observed, if A is a good predictor of C. If so, it checks if A and B predict C, and the interaction between A and B, calculated by the product A × B, also predicts C. If the interaction is a statistically significant predictor of C, B is a moderating variable. In this research, it can be assumed that the variables "well-being at work", "job satisfaction", and personal and professional variables assumed the role of A, the variable "individual job performance" assumed the role of C, and variable "components of organizational structure" assumed the role of B.…”
Section: Resultsmentioning
confidence: 99%
“…Somehow this effect could be latent in EI, IE and POE response, not allowing the achieving of conjectured results. Another effect that attention should be given in these circumstances is the redundancy effect [65]. As can be verified in Table 2, EI and IE exhibit a strong positive correlation (r = 0.278, p < 0.01), leading to as stated by Reference [65] the loss of parsimony in difference explanation between IE and POE.…”
Section: â M R Cabral F M P De Oliveira Carvalho 15mentioning
confidence: 87%
“…In the second step was added the potential moderator variable EI, and the multiplicative term in the third step, in order to capture the interaction between EI and IE (EI × IE) according to Reference [64], Reference [63]. The tests to analyze moderators' effects are usually performed through hierarchical regressions [65]. The difference between IE and POE reports was calculated by the indicator (IE-POE), used as dependent variable in the moderated regression analysis.…”
Section: â M R Cabral F M P De Oliveira Carvalho 15mentioning
confidence: 99%