Multiple Regression and Beyond

By T. Keith. 2005

916 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e396ca1948f3a8a98fcb43f1aea7bc7fa8bff00b

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Citations in the corpus

Understanding the Importance of Organizational Resources to Explain Organizational Problems: Evidence from Nonprofit Sport Clubs in Germany (2012, neutral): “In longitudinal regressions, the fact that the same variables are measured at several points in time increases the R(2) (Keith 2006).”
Violent Video Games and Aggression (2008, neutral): “The continuous variables included in interaction cross-products will first be centered to improve interpretability, as recommended by Keith (2006).”
Implications of customer and entrepreneurial orientations for SME growth (2013, neutral): “For these goodness-of-fit measures, CFI values above .90 and RMSEA values below .08 indicate a reasonably good-fitting model (Keith, 2006).”
Perceptual, Attitudinal, and Behavioral Outcomes of Organization–Public Engagement on Corporate Social Networking Sites (2014, neutral): “According to Keith (2006), a standardized coefficient (â) of less than 0.”
Feeling Validated Versus Being Correct:A Meta-Analysis of Selective Exposure to Information (2009, neutral): “Keith, T. Z. (2006). Multiple regression and beyond.”
The relative importance of factors influencing the adoption of sustainable agricultural practices: a factor approach for Malaysian vegetable farmers (2013, neutral): “…9 3 .7 S C st an d ar d iz ed co ef fi ci en t, U C u n st an d ar d iz ed co ef fi ci en t * 1 0 % si g n ifi ca n ce le v el * * 5 % si g n ifi ca n ce le v el * * * 1 % si g n ifi ca n ce le v el 1 Though standardized coefficients usually range between ±1, they are not always so (Keith 2006).”
The Structure of Cultural Identity in an Ethnically Diverse Sample of Emerging Adults (2007, neutral): “Because these models are not nested, they can be compared using the Akaike Information Criterion (AIC; see Keith, 2006).”
“When” Students Miss School: The Role of Timing of Absenteeism on Students’ Test Performance (2017, background): “07σ in math, which are considered meaningful in educational research (Keith, 2006).”
A resources perspective on when and how proactive work behaviour leads to employee withdrawal (2019, methodology): “We considered values of CFI above .90 to represent adequate fit, and values close to .95 to represent a good fit; RMSEA and SRMRvalues below .08were considered to be acceptable (Keith, 2014).”
An Empirical Investigation of Relationship among Transformational Leadership, Affective Organizational Commitment and Contextual Performance (2015, neutral): “As prescribed by Keith (2006), this study has reported the value of |2 but not considered its value to evaluate the model fit.”
Comparing the effects of instructional and transformational leadership on student achievement (2014, neutral): “Sequential regression is similar to stepwise regression in that variables or blocks of variables are entered consecutively in the regression analysis (Galambos et al., 2008; Keith, 2006; Rubin et al., 2005).”
The relationships of personal and ethnic identity exploration to indices of adaptive and maladaptive psychosocial functioning (2009, neutral): “Because structural equation modeling is an extension of multiple regression (Keith, 2006), regression coefficients for past (present perfect) exploration indicate the relationship of completed or aborted exploration to identity confusion and to psychosocial functioning, controlling for current…”
Firm competitiveness: A general model and a manufacturing application (2022, background): “The model fit is adequate by most fit indicators (χ2 = 113.656, df = 71, χ2/df = 1.601, p = 0.001, CFI = 0.912, TLI = 0.887, RMSEA = 0.083) (Keith, 2019) and all indicators load significantly to the latent constructs.”
The Role of Supportive Relationships in Facilitating African American Males' Success in College (2008, neutral): “Multicollinearity exists when two or more independent variables are highly correlated or when “one independent variable is a near linear combination of other independent variables” (Keith, 2006, p. 1999).”
Curricular and Co‐curricular Influences on Undergraduate Engineering Student Leadership (2017, methodology): “Regression coefficients for all models were standardized to provide an indication of effect size (Keith, 2006), allowing comparison of effects across independent variables.”