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1) To make meaningful causal inferences when conducting quantitative analyses, one must employ...? A. T-Tests and Analysis of Variance methods B.

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1) To make meaningful causal inferences when conducting quantitative analyses, one must employ…? A. T-Tests and Analysis of Variance methods B. Random assignment of participants to treatment and control conditions C. Parametric methods of analysis robust in relationship to violation of basic assumptions D. Dummy coding when using regression models 2) Parametric procedures of quantitative analysis make an underlying assumption that…? A. The variables are measured at least at an ordinal level B. The underlying distribution of data is approximately normal C. All responses are measured in a mutually exclusive manner D. Dichotomous variables have been “smoothed” 3) A well known non-parametric analysis procedure for working with nominal levels of measurement where only frequencies (counts) and reflected in the formula …? A. Pearson r B. Chi Square C. Chronbach’s Alpha D. Spearman’s Rho 4) Analysis of Variance (ANOVA) results in the calculation of the F Statistic and interpretation of this statistic will inform you as to…? A. How the variables are associated with each other B. How many means differ significantly from the “Grand Mean” C. Whether one or more of the means is significantly different from one or more of the others in the study D. Which mean significantly differs from others 5) A quantitative analysis method which aggregates a number of (similar) individual studies into a large data set from which to compute an over all “effect size” (based on similar study procedures and treatments) is commonly known as…?
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A. Survival analysis B. Confirmatory factor analysis C. Principal components analysis D. Meta-Analysis 6) The number of scores that are free to vary when estimating a population parameter from a sample is known as…? A. Degrees of Evidence B. Essential Components Analysis (ECA) C. Degrees of Freedom D. Dichotomous Variables 7) A quantitative analytical procedure used to evaluate (test) for the difference between two or more group means, is commonly known as…? A. Regression B. Chi Square C. Partial Correlation D. Analysis of Variance 8) To make causal inferences from observed differences between groups based on varied levels of treatment, it is necessary to…? A. Use T-test or ANOVA procedures to conduct the analysis B. Have random assignment of participants to treatment levels and control conditions as a basis of design, prior to conducting analyses C. Deploy at least a quasi-experimental design D. Find significant differences between groups at at-least the .05 level 9) Decision rules in quantitative analysis are set by…? A. Mentors B. Deans C. Researchers D. Conventional Wisdom
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1) To make meaningful causal inferences when conducting quantitative analyses, one must
employ…?
A. T-Tests and Analysis of Variance methods
B. Random assignment of participants to treatment and...

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