STATS - multiple choice questions on qualitative methods Set II
Question # 00031038
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Updated on: 11/08/2014 03:28 AM Due on: 11/08/2014
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. Chronbachs Alpha
D. Spearmans 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?
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
A. Mentors
10) Structural Equation Modeling involves subcomponent analysis characteristics of both?
A. ANOVA and Kruskal-Wallis procedures
B. ANOVA and ANCOVA
C. Regression and Factor Analysis
D. T-Tests and Correlations
11) In Regression Analysis the Multiple R Squared R2 may be interpreted as?
A. The standard deviation of the dependent variable
B. The correlation between the predictor variables
C. The F ratio associated with the difference between means
D. The percentage of variance explained in the response variable by knowing the values of the
combined predictor variables
12) A study that uses a combination of qualitative and quantitative methods to study a particular
topic or area is known as?
A. Mixed Methods Research
B. Common Analytical Procedures
C. Factorial Design Research
D. Principal Components Research
13) A procedure in regression analysis where Predictor or Independent Variables are coded as 1 or
0 (representing categories) and can be used to produce ANOVA Tables under the General Linear
Model is known as?
A. Survival coding
B. Bi-variate coding
C. Mixed coding
D. Dummy coding
14) The standard deviation of the sample score divided by the square root of the sample size
is the formula for computing the? (i.e.,
)
A. Variance
B. Absolute Deviation
C. Standard Error
D. Coefficient of Determination
15) A conservative correction method for inflated Alpha values based on multiple comparisons
being carried out independently on a specific data set, is known as?
A. Tukeys honestly significant differences (HSD)
B. Post Hoc testing
C. Bonferroni correction
D. Ad Hoc testing
16) The circumstance where the Null Hypothesis is rejected when it is actually true is known as?
A. Experimental incongruence
B. Mundane realism
C. Type II Error
D. Type I Error
17) A procedure for interpreting where a true score in a distribution falls on a basis of probability
within a defined range is known as?
A. Reliability bands
B. Probabilistic projection
C. Maximum likelihood
D. Confidence intervals
18) In ANOVA, the error variance is typically reflected in?
A. Between group variance
B. Within group associations
C. Within group variance
A. Between group variance
D. Between group differences
19) 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 10
B. 1 in 20
C. 1 in 100
D. 1 in 30
20) In conducting multiple regression analyses (MRAs), a major technical concern involves any
high correlation of predictor (regressor) variables included in the model. The term for this is?
A. Close knit IVs
B. Multicollinearity
C. Correlative dysfunction
D. Redundant predictors
21) All Factorial ANOVAs share the characteristic of?
A. Having two or more independent variables
B. Relying on post hoc procedures to reject the Null Hypothesis
C. Applying corrections for multiple comparisons
D. Having one dependent variable
22) Under conditions where a large sample is used in experimental research, and power of a
statistical test is maximized, it is possible to have statistically significant results, yet a fairly
small?
A. Set of assumptions
B. Ethical concern
C. Standard Deviation
D. Effect size
23) Most basic forms of quantitative analysis look at __________ and __________ among groups
as measured on specified sets of variables.
A. Commonality, functionality
B. Specifics, generality
C. Associations, differences
D. Inferences, explanations
24) Nonparametric procedures for quantitative analyses tend to be?
A. Less powerful in detecting significant differences than parametric procedures
B. More powerful in detecting significant differences than parametric procedures
C. More dependent on the shape of distributions than parametric procedures
D. Equally powerful in detecting significant differences than parametric procedures
25) Time to event analyses involve the analysis of time differences from onset to termination event
for cases included in a study and exposed to different conditions or treatments. The common
name for this analysis is?
A. Survival analysis
B. Meta Analysis
C. Principal components analysis
D. Confirmatory factor analysis
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. Chronbachs Alpha
D. Spearmans 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?
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
A. Mentors
10) Structural Equation Modeling involves subcomponent analysis characteristics of both?
A. ANOVA and Kruskal-Wallis procedures
B. ANOVA and ANCOVA
C. Regression and Factor Analysis
D. T-Tests and Correlations
11) In Regression Analysis the Multiple R Squared R2 may be interpreted as?
A. The standard deviation of the dependent variable
B. The correlation between the predictor variables
C. The F ratio associated with the difference between means
D. The percentage of variance explained in the response variable by knowing the values of the
combined predictor variables
12) A study that uses a combination of qualitative and quantitative methods to study a particular
topic or area is known as?
A. Mixed Methods Research
B. Common Analytical Procedures
C. Factorial Design Research
D. Principal Components Research
13) A procedure in regression analysis where Predictor or Independent Variables are coded as 1 or
0 (representing categories) and can be used to produce ANOVA Tables under the General Linear
Model is known as?
A. Survival coding
B. Bi-variate coding
C. Mixed coding
D. Dummy coding
14) The standard deviation of the sample score divided by the square root of the sample size
is the formula for computing the? (i.e.,
)
A. Variance
B. Absolute Deviation
C. Standard Error
D. Coefficient of Determination
15) A conservative correction method for inflated Alpha values based on multiple comparisons
being carried out independently on a specific data set, is known as?
A. Tukeys honestly significant differences (HSD)
B. Post Hoc testing
C. Bonferroni correction
D. Ad Hoc testing
16) The circumstance where the Null Hypothesis is rejected when it is actually true is known as?
A. Experimental incongruence
B. Mundane realism
C. Type II Error
D. Type I Error
17) A procedure for interpreting where a true score in a distribution falls on a basis of probability
within a defined range is known as?
A. Reliability bands
B. Probabilistic projection
C. Maximum likelihood
D. Confidence intervals
18) In ANOVA, the error variance is typically reflected in?
A. Between group variance
B. Within group associations
C. Within group variance
A. Between group variance
D. Between group differences
19) 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 10
B. 1 in 20
C. 1 in 100
D. 1 in 30
20) In conducting multiple regression analyses (MRAs), a major technical concern involves any
high correlation of predictor (regressor) variables included in the model. The term for this is?
A. Close knit IVs
B. Multicollinearity
C. Correlative dysfunction
D. Redundant predictors
21) All Factorial ANOVAs share the characteristic of?
A. Having two or more independent variables
B. Relying on post hoc procedures to reject the Null Hypothesis
C. Applying corrections for multiple comparisons
D. Having one dependent variable
22) Under conditions where a large sample is used in experimental research, and power of a
statistical test is maximized, it is possible to have statistically significant results, yet a fairly
small?
A. Set of assumptions
B. Ethical concern
C. Standard Deviation
D. Effect size
23) Most basic forms of quantitative analysis look at __________ and __________ among groups
as measured on specified sets of variables.
A. Commonality, functionality
B. Specifics, generality
C. Associations, differences
D. Inferences, explanations
24) Nonparametric procedures for quantitative analyses tend to be?
A. Less powerful in detecting significant differences than parametric procedures
B. More powerful in detecting significant differences than parametric procedures
C. More dependent on the shape of distributions than parametric procedures
D. Equally powerful in detecting significant differences than parametric procedures
25) Time to event analyses involve the analysis of time differences from onset to termination event
for cases included in a study and exposed to different conditions or treatments. The common
name for this analysis is?
A. Survival analysis
B. Meta Analysis
C. Principal components analysis
D. Confirmatory factor analysis
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Solution: STATS - multiple choice questions on qualitative methods Set II