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Stéphanie Girard, Jérôme St-Amand and Roch Chouinard

expectation–maximization algorithm available in Mplus (version 7.4; Muthen & Muthen, Los Angeles, CA) was applied ( Little & Rubin, 2002 ). Multicollinearity testing gave acceptable values: tolerance was above .2, and variance inflation factor was below 1 ( Field, 2009 ). All variables presented acceptable

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José-Antonio Cecchini, Antonio Méndez-Giménez and Beatriz Sánchez-Martínez

variables, taking the variance for the Level 1 (repeated measures), Level 2 (students), Level 3 (classrooms), Level 4 (teachers), and Level 5 (schools). We selected multilevel modeling because it is recommended for the analysis of repeated measurements and reduces the risk of inflation of Type I errors. It

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Chad Seifried, Brian Soebbing and Kwame J.A. Agyemang

recession that began in the mid to late 1970s. High unemployment and inflation and rising debt from shrinking tax bases extended into the 1980s. 75 Resultantly, many cities increased their fees for “city services such as police, garbage collection, and fire and ambulance standbys”, which were necessary for

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James Stephenson, Colum Cronin and Amy E. Whitehead

-paced decisions ( Raab & Johnson, 2008 ). When these decisions are made quickly, there is very little conscious attention to the available options prior to the decision being made. Therefore, if this autonomous process is not examined at different time points, self-biases and potential ego inflations may go

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Brendan Dwyer, Joris Drayer and Stephen L. Shapiro

also provided sufficient power. The dependent variable was binary (DFS/no DFS), and the continuous indicators in the model were linear with the logit form of the dependent variable. Potential multicollinearity issues within the model were also examined by investigating variance inflation factors and

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Nicholas M. Watanabe, Grace Yan, Brian P. Soebbing and Wantong Fu

level were reported for the “built-up area” in each city, which included the city as well as the suburban region surrounding it. Meanwhile, income was reported in Chinese yuan and adjusted for inflation to 2017 levels. 2 Additionally, the Rivalry dummy variable was created to measure the presence of

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Lena Hübner, Solveig Vieluf, Ben Godde and Claudia Voelcker-Rehage

indicating no significant correlation (Table  5 ), was included in the regression analyses because of the high relevance in aging studies and the high age range of 16 years (67–83 years of age) in our sample. The regression models were controlled for multicollinearity by calculating the variance inflation

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Kyungyeol (Anthony) Kim, Kevin K. Byon and Paul M. Pedersen

constructs ( Podsakoff, MacKenzie, & Podsakoff, 2012 ). Our survey experiment and time-lag data helped lessen such inflation, strengthening the robustness of the research findings ( Podsakoff et al., 2012 ). Another interesting contribution of this article pertains to the findings of the moderating effects

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Bram Constandt, Els De Waegeneer and Annick Willem

no questionable results, as variation inflation factors were around 1 and tolerance values were considerably higher than 0.02 ( Field, 2009 ). The trustworthiness of the presumed indirect (mediation) effect of ethical climate was evaluated by bootstrapping, a significance test for mediation

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Cornelia Frank, Gian-Luca Linstromberg, Linda Hennig, Thomas Heinen and Thomas Schack

-subjects factor and time of measurement as within-subjects factor. Independent- as well as dependent-samples t tests served as tests of significance for subsequent analyses. In order to account for the inflation of Type I errors, we employed a Holm–Bonferroni correction ( Holm, 1979 ). As an estimate of effect