Question 1

Chi-square is a test of

Accepted Answer

A)  Difference 
B)  Relationship 
C)  Association 
D)  Factors 
A)  Difference 
B)  Relationship 
C)  Association 
D)  Factors

Question 2

In which sub-dialog box can the chi-square test be found?

Accepted Answer

A)  Frequencies: Percentages 
B)  Crosstabs: Statistics 
C)  Bivariate: Pearson 
D)  sex: Female 
A)  Frequencies: Percentages 
B)  Crosstabs: Statistics 
C)  Bivariate: Pearson 
D)  sex: Female

Question 3

When testing several categorical variables, which is the appropriate test of relationship?

Accepted Answer

A)  Chi-square 
B)  Elaborated chi-square 
C)  Part correlation 
D)  Loglinear analysis 
A)  Chi-square 
B)  Elaborated chi-square 
C)  Part correlation 
D)  Loglinear analysis

Question 4

A study undertaken by Reed (2004) looked at an evaluation of the effect of an intervention across medical care providers in an institution and at physician group practice level. The patient group were diabetics. Within the physician care group, there were a non-intervention group of patients and an intervention group. The following result was derived using the Pearson chi-square: χ2 = 99.58, p = .0001 (source: http:/ / www.annfammed.org/ cgi/ reprint/ 2/ 3/ 201.pdf). What does this suggest about the result?

Accepted Answer

A)  No difference between the groups 
B)  A significant difference between the groups and intervention effective 
C)  A significant difference between the groups and intervention not effective 
D)  None of the above 
A)  No difference between the groups 
B)  A significant difference between the groups and intervention effective 
C)  A significant difference between the groups and intervention not effective 
D)  None of the above

Question 5

A study undertaken by Reed (2004) looked at an evaluation of the effect of an intervention across medical care providers in an institution and at physician group practice level. The patient group were diabetics. Within the physician care group, there were a non-intervention group of patients and an intervention group. The following result was derived using the Pearson chi-square: χ2 = 99.58, p = .0001 (source: http:/ / www.annfammed.org/ cgi/ reprint/ 2/ 3/ 201.pdf). What does this suggest about the result?

Accepted Answer

A)  No difference between the groups 
B)  A significant difference between the groups and intervention effective 
C)  A significant difference between the groups and intervention not effective 
D)  None of the above 
A)  No difference between the groups 
B)  A significant difference between the groups and intervention effective 
C)  A significant difference between the groups and intervention not effective 
D)  None of the above

Question 6

A researcher asked 933 people which type of programme they prefer to watch on television. Results are below. What is the expected frequency for men who liked to watch sport?

Accepted Answer

A)  132 
B)  94.19 
C)  64.09 
D)  27.45 
A)  132 
B)  94.19 
C)  64.09 
D)  27.45

Question 7

A study entitled 'Structural equation and log-linear modelling: a comparison of methods in the analysis on caregivers' health' by Zhu et al. (2006) showed a large effect size in the interaction between psychological health and physical health (source: http:/ / www.biomedcentral.com/ 1471-2288/ 6/ 49). What can be deduced by this finding?

Accepted Answer

A)  Both factors are significantly related in the study. 
B)  Both factors are significantly unrelated in the study. 
C)  Both factors have an effect on the study results. 
D)  None of the above. 
A)  Both factors are significantly related in the study. 
B)  Both factors are significantly unrelated in the study. 
C)  Both factors have an effect on the study results. 
D)  None of the above.

Question 8

Under what circumstances would Yates's correction be used?

Accepted Answer

A)  Large quantities of data 
B)  In 2 × 2 tables of data 
C)  In 3 × 3 tables of data 
D)  In 4 × 4 tables of data 
A)  Large quantities of data 
B)  In 2 × 2 tables of data 
C)  In 3 × 3 tables of data 
D)  In 4 × 4 tables of data

Question 9

Which of the following is not an assumption of loglinear analysis?

Accepted Answer

A)  An entity should fall into only one cell of the contingency table. 
B)  Expected frequencies should be large enough for a reliable analysis. 
C)  If there are two variables 20% of cells must have frequencies less than 1. 
D)  Collapsed data need to have a non-significant highest-order interaction. 
A)  An entity should fall into only one cell of the contingency table. 
B)  Expected frequencies should be large enough for a reliable analysis. 
C)  If there are two variables 20% of cells must have frequencies less than 1. 
D)  Collapsed data need to have a non-significant highest-order interaction.

Question 10

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х2 = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Accepted Answer

A)  The result is significant. 
B)  The result is not significant. 
C)  The result needs to be modified using Fisher's exact test. 
D)  None of the above. 
A)  The result is significant. 
B)  The result is not significant. 
C)  The result needs to be modified using Fisher's exact test. 
D)  None of the above.

Question 11

Loglinear analysis is

Accepted Answer

A)  A multivariate alternative to chi-square. 
B)  A multivariate equivalent to linear regression. 
C)  An analytical form of logistic regression. 
D)  A way of working with logarithms when there are a lot of numbers. 
A)  A multivariate alternative to chi-square. 
B)  A multivariate equivalent to linear regression. 
C)  An analytical form of logistic regression. 
D)  A way of working with logarithms when there are a lot of numbers.

Question 12

Which of the following is an advantage of loglinear analysis?

Accepted Answer

A)  It allows analysis of different types of data. 
B)  It provides a systematic approach to the analysis of complex multidimensional tables. 
C)  Empty cells do not lower the power of the test. 
D)  It means you do not have to compare models. 
A)  It allows analysis of different types of data. 
B)  It provides a systematic approach to the analysis of complex multidimensional tables. 
C)  Empty cells do not lower the power of the test. 
D)  It means you do not have to compare models.

Question 13

In a study by Sheiham et al. (2002) of 'the relationship between oral health status and body mass index among older people' in Great Britain, Fisher's exact test was used (source: http:/ / www.nature.com/ bdj/ journal/ v192/ n12/ full/ 4801461a.html). Why would this test have been used in this instance?

Accepted Answer

A)  An adjusted odds ratio would not provide a valid effect size. 
B)  An adjusted odds ratio could not be used as the sample was too large. 
C)  An adjusted odds ratio could not be used as the sample was too small. 
D)  none of the above. 
A)  An adjusted odds ratio would not provide a valid effect size. 
B)  An adjusted odds ratio could not be used as the sample was too large. 
C)  An adjusted odds ratio could not be used as the sample was too small. 
D)  none of the above.

Question 14

Under what circumstances would Yates's correction be used?

Accepted Answer

A)  Large quantities of data 
B)  In 2 × 2 tables of data 
C)  In 3 × 3 tables of data 
D)  In 4 × 4 tables of data 
A)  Large quantities of data 
B)  In 2 × 2 tables of data 
C)  In 3 × 3 tables of data 
D)  In 4 × 4 tables of data

Question 15

For the same data, a chi-square test produced the SPSS output below. What can we conclude from this output?

Accepted Answer

A)  Women watched significantly more programmes than men. 
B)  Significantly more soap operas were watched. 
C)  The profile of programmes watched was significantly different between men and women. 
D)  Men and women watch similar types of programmes. 
A)  Women watched significantly more programmes than men. 
B)  Significantly more soap operas were watched. 
C)  The profile of programmes watched was significantly different between men and women. 
D)  Men and women watch similar types of programmes.

Question 16

In the following table, what number is missing? (marked with ?) SEX * GROUPS Crosstabulation

Accepted Answer

A)  6 
B)  2.6 
C)  1.4 
D)  9.4 
A)  6 
B)  2.6 
C)  1.4 
D)  9.4

Question 17

Which is an assumption of chi-square?

Accepted Answer

A)  That the data are normally distributed. 
B)  That each subject contributes data to only one cell. 
C)  That the data are continuous. 
D)  That there is little variability among the data. 
A)  That the data are normally distributed. 
B)  That each subject contributes data to only one cell. 
C)  That the data are continuous. 
D)  That there is little variability among the data.

Question 18

Which of the following is not an assumption of loglinear analysis?

Accepted Answer

A)  An entity should fall into only one cell of the contingency table. 
B)  Expected frequencies should be large enough for a reliable analysis. 
C)  If there are two variables 20% of cells must have frequencies less than 1. 
D)  Collapsed data need to have a non-significant highest-order interaction. 
A)  An entity should fall into only one cell of the contingency table. 
B)  Expected frequencies should be large enough for a reliable analysis. 
C)  If there are two variables 20% of cells must have frequencies less than 1. 
D)  Collapsed data need to have a non-significant highest-order interaction.

Question 19

In a study by Sheiham et al. (2002) of 'the relationship between oral health status and body mass index among older people' in Great Britain, Fisher's exact test was used (source: http:/ / www.nature.com/ bdj/ journal/ v192/ n12/ full/ 4801461a.html). Why would this test have been used in this instance?

Accepted Answer

A)  An adjusted odds ratio would not provide a valid effect size. 
B)  An adjusted odds ratio could not be used as the sample was too large. 
C)  An adjusted odds ratio could not be used as the sample was too small. 
D)  none of the above. 
A)  An adjusted odds ratio would not provide a valid effect size. 
B)  An adjusted odds ratio could not be used as the sample was too large. 
C)  An adjusted odds ratio could not be used as the sample was too small. 
D)  none of the above.

Question 20

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х2 = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Accepted Answer

A)  The result is significant. 
B)  The result is not significant. 
C)  The result needs to be modified using Fisher's exact test. 
D)  None of the above. 
A)  The result is significant. 
B)  The result is not significant. 
C)  The result needs to be modified using Fisher's exact test. 
D)  None of the above.

Chi-square is a test of

In which sub-dialog box can the chi-square test be found?

When testing several categorical variables, which is the appropriate test of relationship?

A researcher asked 933 people which type of programme they prefer to watch on television. Results are below. What is the expected frequency for men who liked to watch sport?

Under what circumstances would Yates's correction be used?

Which of the following is not an assumption of loglinear analysis?

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х² = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Loglinear analysis is

Which of the following is an advantage of loglinear analysis?

Under what circumstances would Yates's correction be used?

For the same data, a chi-square test produced the SPSS output below. What can we conclude from this output?

In the following table, what number is missing? (marked with ?) SEX * GROUPS Crosstabulation

Which is an assumption of chi-square?

Which of the following is not an assumption of loglinear analysis?

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х² = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 19: Categorical Outcomes: Chi-Square and Loglinear Analysis

Chi-square is a test of

In which sub-dialog box can the chi-square test be found?

When testing several categorical variables, which is the appropriate test of relationship?

A researcher asked 933 people which type of programme they prefer to watch on television. Results are below. What is the expected frequency for men who liked to watch sport?

Under what circumstances would Yates's correction be used?

Which of the following is not an assumption of loglinear analysis?

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х2 = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Loglinear analysis is

Which of the following is an advantage of loglinear analysis?

Under what circumstances would Yates's correction be used?

For the same data, a chi-square test produced the SPSS output below. What can we conclude from this output?

In the following table, what number is missing? (marked with ?) SEX * GROUPS Crosstabulation

Which is an assumption of chi-square?

Which of the following is not an assumption of loglinear analysis?

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х2 = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х² = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?

Kuhn et al. (1997) identify the following Pearson chi-square test result when looking at the shape of acromion and rotator cuff tears: Х² = 17.636, P = .0005 (source: http:/ / www.sjsu.edu/ faculty/ gerstman/ EpiInfo/ cat-sev.htm). What would you deduce from this result?