Applied Multivariate Statistics for the Social Sciences
By Richard D. Gonzalez. 2003
8,638 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e1f1307b20decf01d1373cdf9ceb51975dea0430
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Citations in the corpus
- Should I stay or should I go? Examining longitudinal relations among job resources and work engagement for stayers versus movers (2008, methodology): “The largest coefficients or correlations are used for interpretation (Stevens, 1996).”
- Estimating ω h for Structures Containing Two Group Factors: Perils and Prospects (2007, result): “…depart from normality and tests of equality of variance indicated that the hypothesis of homoscedasticity should be rejected, MANOVA is relatively robust to violations of normality and homoscedasticity especially with equal cell sizes as is the case in our design (e.g., Stevens, 1996, pp. 243-251).”
- Development and Validation of a Process for Screening Referrals to Special Education (2003, result): “Although power was sufficient for most of the analyses reported in this paper (Stevens, 1996), future studies should include an attempt to replicate these procedures with more participants.”
- Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020, methodology): “The correspondence analysis is an analogy of the principal components analysis and factor analysis of qualitative data in contingency tables (Clausen, 1998; Stevens, 2002).”
- The Market Evolution and Sales Takeoff of Product Innovations (2002, background): “1 See, for example, the reviews in Stoneman (1983), Thirtle and Ruttan (1987), and Karshenas and Stoneman (1995).”
- Effects of Attentional Focus on Skilled Performance in Golf (2009, neutral): “However, Stevens (1996) suggested that a violation of this assumption is not a serious threat to analytical errors in an orthogonal design.”
- Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties (2012, methodology): “tally each gap could be expensive and laborious [6].”
- Learning opportunities to support student self-regulation: comparing different instructional formats (2006, background): “Although curvilinearity in the data set might apply (Stevens, 1992 ), no curvilinearity was actually found in the data.”
- An empirical study of high performance HRM practices in Chinese SMEs (2006, neutral): “A three factor solution was indicated by the Scree plot, and about 82 per cent of the variance was explained with this solution which is desirable (Stevens, 1996 ).”
- Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach (2007, background): “First, Stevens (1996) suggested that the ratio between the sample size and the number of observed variables should not be less than 15.”
- Destination Image and Behavior Intention of Travelers to Thailand: the Moderating Effect of Perceived Risk (2013, result): “This acceptable ratio could indicate the statistical precision of the results (Kline, 2005; Stevens, 2002).”
- Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature (2009, methodology): “MANOVAs enable researchers to investigate “groups of subjects on several dependent variables simultaneously; focusing on cases where the variables are correlated and share a common conceptual meaning” (Stevens, 2002, p. 173).”
- Estimating R 2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods (2001, methodology): “It has long been recognized by quantitative researchers that when a multiple correlation coefficient is derived from a given sample, its value tends to be "deceptively" large, and it is a "positively biased" estimate of the population multiple correlation coefficient (Cohen & Cohen, 1983; Larson, 19”
- ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients (2015, background): “The partial and semi-partial (also known as part) correlations are used to express the specific portion of variance explained by eliminating the e ff ect of other variables when assessing the correlation between two variables (James, 2002; Johnson and Wichern, 2002; Whittaker, 1990).”
- Majority Acculturation Orientations Toward “Valued” and “Devalued” Immigrants (2001, methodology): “Five separate regression analyses were computed with the forward method (Stevens, 1996; Tabachnick & Fidell, 1996).”