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STATS - multiple choice questions on qualitative methods Set II




Question;1) To make meaningful causal inferences when conducting quantitative analyses, one mustemploy?A. T-Tests and Analysis of Variance methodsB. Random assignment of participants to treatment and control conditionsC. Parametric methods of analysis robust in relationship to violation of basic assumptionsD. Dummy coding when using regression models2) Parametric procedures of quantitative analysis make an underlying assumption that?A. The variables are measured at least at an ordinal levelB. The underlying distribution of data is approximately normalC. All responses are measured in a mutually exclusive mannerD. Dichotomous variables have been smoothed3) A well known non-parametric analysis procedure for working with nominal levels ofmeasurement where only frequencies (counts) and reflected in the formula?A. Pearson rB. Chi SquareC. Chronbachs AlphaD. Spearmans Rho4) Analysis of Variance (ANOVA) results in the calculation of the F Statistic and interpretation ofthis statistic will inform you as to?A. How the variables are associated with each otherB. How many means differ significantly from the Grand MeanC. Whether one or more of the means is significantly different from one or more of the others in thestudyD. Which mean significantly differs from others5) A quantitative analysis method which aggregates a number of (similar) individual studies into alarge data set from which to compute an over all effect size (based on similar study proceduresand treatments) is commonly known as?A. Survival analysisB. Confirmatory factor analysisC. Principal components analysisD. Meta-Analysis6) The number of scores that are free to vary when estimating a population parameter from asample is known as?A. Degrees of EvidenceB. Essential Components Analysis (ECA)C. Degrees of FreedomD. Dichotomous Variables7) A quantitative analytical procedure used to evaluate (test) for the difference between two ormore group means, is commonly known as?A. RegressionB. Chi SquareC. Partial CorrelationD. Analysis of Variance8) To make causal inferences from observed differences between groups based on varied levels oftreatment, it is necessary to?A. Use T-test or ANOVA procedures to conduct the analysisB. Have random assignment of participants to treatment levels and control conditions as a basis ofdesign, prior to conducting analysesC. Deploy at least a quasi-experimental designD. Find significant differences between groups at at-least the.05 level9) Decision rules in quantitative analysis are set by?A. MentorsB. DeansC. ResearchersD. Conventional WisdomA. Mentors10) Structural Equation Modeling involves subcomponent analysis characteristics of both?A. ANOVA and Kruskal-Wallis proceduresB. ANOVA and ANCOVAC. Regression and Factor AnalysisD. T-Tests and Correlations11) In Regression Analysis the Multiple R Squared R2 may be interpreted as?A. The standard deviation of the dependent variableB. The correlation between the predictor variablesC. The F ratio associated with the difference between meansD. The percentage of variance explained in the response variable by knowing the values of thecombined predictor variables12) A study that uses a combination of qualitative and quantitative methods to study a particulartopic or area is known as?A. Mixed Methods ResearchB. Common Analytical ProceduresC. Factorial Design ResearchD. Principal Components Research13) A procedure in regression analysis where Predictor or Independent Variables are coded as 1 or0 (representing categories) and can be used to produce ANOVA Tables under the General LinearModel is known as?A. Survival codingB. Bi-variate codingC. Mixed codingD. Dummy coding14) The standard deviation of the sample score divided by the square root of the sample sizeis the formula for computing the? (i.e.,)A. VarianceB. Absolute DeviationC. Standard ErrorD. Coefficient of Determination15) A conservative correction method for inflated Alpha values based on multiple comparisonsbeing carried out independently on a specific data set, is known as?A. Tukeys honestly significant differences (HSD)B. Post Hoc testingC. Bonferroni correctionD. Ad Hoc testing16) The circumstance where the Null Hypothesis is rejected when it is actually true is known as?A. Experimental incongruenceB. Mundane realismC. Type II ErrorD. Type I Error17) A procedure for interpreting where a true score in a distribution falls on a basis of probabilitywithin a defined range is known as?A. Reliability bandsB. Probabilistic projectionC. Maximum likelihoodD. Confidence intervals18) In ANOVA, the error variance is typically reflected in?A. Between group varianceB. Within group associationsC. Within group varianceA. Between group varianceD. Between group differences19) When conducting an inferential statistical analysis, and applying a conventional critical pvalue of.05, the odds of making a Type I Error and rejecting a true Null Hypothesis is?A. 1 in 10B. 1 in 20C. 1 in 100D. 1 in 3020) In conducting multiple regression analyses (MRAs), a major technical concern involves anyhigh correlation of predictor (regressor) variables included in the model. The term for this is?A. Close knit IVsB. MulticollinearityC. Correlative dysfunctionD. Redundant predictors21) All Factorial ANOVAs share the characteristic of?A. Having two or more independent variablesB. Relying on post hoc procedures to reject the Null HypothesisC. Applying corrections for multiple comparisonsD. Having one dependent variable22) Under conditions where a large sample is used in experimental research, and power of astatistical test is maximized, it is possible to have statistically significant results, yet a fairlysmall?A. Set of assumptionsB. Ethical concernC. Standard DeviationD. Effect size23) Most basic forms of quantitative analysis look at __________ and __________ among groupsas measured on specified sets of variables.A. Commonality, functionalityB. Specifics, generalityC. Associations, differencesD. Inferences, explanations24) Nonparametric procedures for quantitative analyses tend to be?A. Less powerful in detecting significant differences than parametric proceduresB. More powerful in detecting significant differences than parametric proceduresC. More dependent on the shape of distributions than parametric proceduresD. Equally powerful in detecting significant differences than parametric procedures25) Time to event analyses involve the analysis of time differences from onset to termination eventfor cases included in a study and exposed to different conditions or treatments. The commonname for this analysis is?A. Survival analysisB. Meta AnalysisC. Principal components analysisD. Confirmatory factor analysis


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