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Zastosowanie regresji logistycznej w badaniach eksperymentalnych

100%

Danieluk B.

Psychologia Społeczna

2010

vol. 5

issue 2-3(14)

199-216

In experimental practice we offten face the situation where the measured dependent variable takes one of two values only: 0 - lack of the measured characteristic or 1 - observation of the measured characteristic (behavior, consent to something, displaying an attitude or an opinion etc.). Both the general linear model as well as the linear regression analysis cannot be applied to dichotomous, nominal dependent variables. In such cases we are forced to use the non-linear analysis. Logistic regression is the model used for this type of dependent variables. This article presents application of the binomial logistic regression in experimental research. It explains specification and interpretation of typical logistic regression coefficients such as odds ratio, Wald coefficients, likelihood ratios. It presents the estimation procedure of the model parameters with maximum likelihood procedure and the Hosmer-Lemeshow goodness of fit test. Introduced were simple sample analyses (with nominal and quantitative predictors), a two-factor analysis as well as a two-factor analysis with interaction effect. The number of formulas and algebraic transformations were cut to the necessary minimum and the shown sample analysis and their interpretation were conducted step by step with the SPSS Statistics Pack version 17.0 PL.

Expertise is in the Eye of the Beholder – Financial Advisor Evaluations and Client Satisfaction as a Result of Advisor Recommendations

51%

Danieluk B., Muda R., Kicia M., Stasiuk K.

Polish Psychological Bulletin

2020

vol. 51

issue 1

14-22

Clients’ satisfaction with financial advice provided by professional advisors depends on how this advice has fulfilled their expectations and goals. However, once a recommendation is made, a client is unable to predict and evaluate the real financial outcome of the advisor’s proposal. In such a case, she/he can base her/his assessment on the characteristics ascribed to the financial advisor: her/his epistemic authority (competence) and level of caring. Additionally, clients expect to receive a “tailor-made” solution that takes into account her/his individual needs and characteristics. In the present study, we asked participants to evaluate financial experts who had recommended risky vs safe investments. The recommendations were congruent or incongruent with the clients’ risk tolerance (high vs low). The kind of recommendation influenced the participants’ evaluations of the advisors (and as a result, the clients’ perceived satisfaction) only for low-risk tolerance clients. For these clients, investment recommendations that were not adjusted to their levels of risk tolerance led to lower evaluations of the advisors and consequently to lower evaluation of satisfaction with their visits. These lower evaluations regarded both dimensions: the interpersonal aspect (caring) and competence in the field of finance (epistemic authority). Such incongruence between risk tolerance and the riskiness of the recommendation did not affect high-risk tolerance clients’ advisor evaluations.

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1 Polish Psychological Bulletin

1 Psychologia Społeczna

2 Danieluk B.

1 Kicia M.

1 Muda R.

1 Stasiuk K.

1 2020

1 2010

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Zastosowanie regresji logistycznej w badaniach eksperymentalnych

Expertise is in the Eye of the Beholder – Financial Advisor Evaluations and Client Satisfaction as a Result of Advisor Recommendations