Question 1

What might be an appropriate way to deal with missing data?

Accepted Answer

A)  Ignore them. 
B)  Go back to the participant and demand an answer. 
C)  Define missing values using the recode function. 
D)  Start the study again, taking more care with data recording. 
A)  Ignore them. 
B)  Go back to the participant and demand an answer. 
C)  Define missing values using the recode function. 
D)  Start the study again, taking more care with data recording. C

Question 2

How is a variable name different from a variable label?

Accepted Answer

A)  It is shorter and less detailed. 
B)  It is longer and more detailed. 
C)  It is abstract and unspecific. 
D)  It refers to codes rather than variables. 
A)  It is shorter and less detailed. 
B)  It is longer and more detailed. 
C)  It is abstract and unspecific. 
D)  It refers to codes rather than variables. D

Question 3

What is the advantage of using SPSS over calculating statistics by hand?

Accepted Answer

A)  Quantitative data analysis is so complex today it is essential to use a stats package. 
B)  It reduces the chance of making errors in your calculations. 
C)  It equips you with a useful transferable skill. 
D)  All of the above. 
A)  Quantitative data analysis is so complex today it is essential to use a stats package. 
B)  It reduces the chance of making errors in your calculations. 
C)  It equips you with a useful transferable skill. 
D)  All of the above. D

Question 4

Six patients are referred to a specialist physiotherapist for treatment and each has their own defined level of pain identified on a scale of 1-10 measured against amount of exercise defined numerically on a scale of 1-5 hours per day as shown in the following table   When this information is entered in SPSS, what will be seen in the column titled 'Type' in the Variable
View?

Accepted Answer

A)  'Level of Pain' 
B)  'Numeric' 
C)  'None' 
D)  'Amount of Exercise' 
A)  'Level of Pain' 
B)  'Numeric' 
C)  'None' 
D)  'Amount of Exercise'

Question 5

If you are constructing a data file for a repeated-measures design with ten subjects and three conditions, how many columns and rows will the file have?

Accepted Answer

A)  Ten columns and four rows 
B)  Four columns and four rows 
C)  Ten columns and ten rows 
D)  Four columns and ten rows 
A)  Ten columns and four rows 
B)  Four columns and four rows 
C)  Ten columns and ten rows 
D)  Four columns and ten rows

Question 6

Ordinal level data are characterized by

Accepted Answer

A)  Data that can be meaningfully arranged by order of magnitude* 
B)  Equal intervals between each adjacent score 
C)  A fixed zero 
D)  None of the above 
A)  Data that can be meaningfully arranged by order of magnitude* 
B)  Equal intervals between each adjacent score 
C)  A fixed zero 
D)  None of the above

Question 7

If this following data were inputted as a 'within-participants' design, what labels would there be in the 'data view' area? Antibiotic - 15, 12, 18, 20, 17, 16, 20, 20, 19, 20
Antifungal - 17, 20, 20, 18, 20, 16, 15, 18, 17, 19

Accepted Answer

A)  Group, Recall 
B)  Antibiotic, Antifungal 
C)  Group, Numeric 
D)  Name, Type 
A)  Group, Recall 
B)  Antibiotic, Antifungal 
C)  Group, Numeric 
D)  Name, Type

Question 8

If a researcher was inputting data relating to blood pressure recordings over differing times during the day, what type of variable would be selected at the level of measurement (of the variable)?

Accepted Answer

A)  Nominal 
B)  Ordinal 
C)  Scale - interval 
D)  Scale - ratio 
A)  Nominal 
B)  Ordinal 
C)  Scale - interval 
D)  Scale - ratio

Question 9

How would you use the drop-down menus in SPSS to generate a frequency table?

Accepted Answer

A)  Open the output viewer and click on Save As → Pie Chart 
B)  Click on Analyze → Descriptive Statistics → Frequencies 
C)  Click on Graphs → Frequencies → Pearson 
D)  Open the variable viewer and recode the value labels 
A)  Open the output viewer and click on Save As → Pie Chart 
B)  Click on Analyze → Descriptive Statistics → Frequencies 
C)  Click on Graphs → Frequencies → Pearson 
D)  Open the variable viewer and recode the value labels

Question 10

What does the operation 'Recode into Different Variables' do to the data?

Accepted Answer

A)  Replaces missing data with some random scores. 
B)  Reverses the position of the independent and dependent variable on a graph. 
C)  Redistributes a range of values into a new set of categories and creates a new variable. 
D)  Represents the data in the form of a pie chart. 
A)  Replaces missing data with some random scores. 
B)  Reverses the position of the independent and dependent variable on a graph. 
C)  Redistributes a range of values into a new set of categories and creates a new variable. 
D)  Represents the data in the form of a pie chart.

Question 11

In SPSS what would be the window that you need to access in order to enter your data for analysis?

Accepted Answer

A)  Data viewer 
B)  Data editor 
C)  Syntax viewer 
D)  SPSS viewer 
A)  Data viewer 
B)  Data editor 
C)  Syntax viewer 
D)  SPSS viewer

Question 12

If the following data were to be entered onto SPSS, how many columns would you expect to see in the data view area? The following information is collected
Antibiotic - 15, 12, 18, 20, 17, 16, 20, 20, 19, 20
Antifungal - 17, 20, 20, 18, 20, 16, 15, 18, 17, 19

Accepted Answer

A)  4 
B)  3 
C)  2 
D)  1 
A)  4 
B)  3 
C)  2 
D)  1

Question 13

What is the correct way to record non-numerical values?

Accepted Answer

A)  You can't, SPSS only uses numbers. 
B)  Define the variable as 'string'. 
C)  Recode all the values as numbers. 
D)  Define the variable as 'date'. 
A)  You can't, SPSS only uses numbers. 
B)  Define the variable as 'string'. 
C)  Recode all the values as numbers. 
D)  Define the variable as 'date'.

Question 14

When crosstabulating two variables, it is conventional to

Accepted Answer

A)  Represent the independent variable in rows and the dependent variable in columns. 
B)  Assign both the dependent and independent variables to columns. 
C)  Represent the dependent variable in rows and the independent variable in columns. 
D)  Assign both the dependent and independent variables to rows. 
A)  Represent the independent variable in rows and the dependent variable in columns. 
B)  Assign both the dependent and independent variables to columns. 
C)  Represent the dependent variable in rows and the independent variable in columns. 
D)  Assign both the dependent and independent variables to rows.

Question 15

If a doctor wishes to study the effect of a certain type of antibiotic treatment on hospitalized patients, what type of variable will be required to allow for measurements between the group of patients given the treatment and those who are given alternative treatment?

Accepted Answer

A)  Independent variable 
B)  Coding variable 
C)  Dependent variable 
D)  String variable 
A)  Independent variable 
B)  Coding variable 
C)  Dependent variable 
D)  String variable

Question 16

To generate a correlation coefficient between two variables with ordinal data, which set of instructions should you give SPSS?

Accepted Answer

A)  Analyze → Crosstabs → Descriptive Statistics → Spearman → OK 
B)  Graphs → Frequencies → [select variables]→ Spearman → OK 
C)  Analyze → Compare Means → ANOVA table → First layer → Spearman → OK 
D)  Analyze → Correlate → Bivariate →[select variables] → Spearman → OK 
A)  Analyze → Crosstabs → Descriptive Statistics → Spearman → OK 
B)  Graphs → Frequencies → [select variables]→ Spearman → OK 
C)  Analyze → Compare Means → ANOVA table → First layer → Spearman → OK 
D)  Analyze → Correlate → Bivariate →[select variables] → Spearman → OK

Question 17

In SPSS, what is the data view window?

Accepted Answer

A)  A table summarizing the frequencies of data for one variable 
B)  A spreadsheet into which data can be entered 
C)  A dialog box that allows you to choose a statistical test 
D)  A screen in which variables can be defined and labelled 
A)  A table summarizing the frequencies of data for one variable 
B)  A spreadsheet into which data can be entered 
C)  A dialog box that allows you to choose a statistical test 
D)  A screen in which variables can be defined and labelled

Question 18

Which of the following could not be represented by columns in the SPSS data editor

Accepted Answer

A)  Levels of repeated measures variables 
B)  Items on a questionnaire 
C)  Levels of between-group variables 
D)  Total values from different questionnaires 
A)  Levels of repeated measures variables 
B)  Items on a questionnaire 
C)  Levels of between-group variables 
D)  Total values from different questionnaires

Question 19

Why might a data file have missing data?

Accepted Answer

A)  Some of a participant's responses might be missing. 
B)  There has been a mistake in saving the SPSS data file. 
C)  A participant did not take part in the whole study. 
D)  None of the above. 
A)  Some of a participant's responses might be missing. 
B)  There has been a mistake in saving the SPSS data file. 
C)  A participant did not take part in the whole study. 
D)  None of the above.

Question 20

Which of the following is not a file extension for files saved in SPSS?

Accepted Answer

A)  .sav 
B)  .spo 
C)  .sps 
D)  . doc 
A)  .sav 
B)  .spo 
C)  .sps 
D)  . doc

What might be an appropriate way to deal with missing data?

How is a variable name different from a variable label?

What is the advantage of using SPSS over calculating statistics by hand?

If you are constructing a data file for a repeated-measures design with ten subjects and three conditions, how many columns and rows will the file have?

Ordinal level data are characterized by

If this following data were inputted as a 'within-participants' design, what labels would there be in the 'data view' area? Antibiotic - 15, 12, 18, 20, 17, 16, 20, 20, 19, 20 Antifungal - 17, 20, 20, 18, 20, 16, 15, 18, 17, 19

If a researcher was inputting data relating to blood pressure recordings over differing times during the day, what type of variable would be selected at the level of measurement (of the variable)?

How would you use the drop-down menus in SPSS to generate a frequency table?

What does the operation 'Recode into Different Variables' do to the data?

In SPSS what would be the window that you need to access in order to enter your data for analysis?

If the following data were to be entered onto SPSS, how many columns would you expect to see in the data view area? The following information is collected Antibiotic - 15, 12, 18, 20, 17, 16, 20, 20, 19, 20 Antifungal - 17, 20, 20, 18, 20, 16, 15, 18, 17, 19

What is the correct way to record non-numerical values?

When crosstabulating two variables, it is conventional to

If a doctor wishes to study the effect of a certain type of antibiotic treatment on hospitalized patients, what type of variable will be required to allow for measurements between the group of patients given the treatment and those who are given alternative treatment?

To generate a correlation coefficient between two variables with ordinal data, which set of instructions should you give SPSS?

In SPSS, what is the data view window?

Which of the following could not be represented by columns in the SPSS data editor

Why might a data file have missing data?

Which of the following is not a file extension for files saved in SPSS?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

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: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 4: The Ibm Spss Statistics Environment

What might be an appropriate way to deal with missing data?

How is a variable name different from a variable label?

What is the advantage of using SPSS over calculating statistics by hand?

If you are constructing a data file for a repeated-measures design with ten subjects and three conditions, how many columns and rows will the file have?

Ordinal level data are characterized by

If this following data were inputted as a 'within-participants' design, what labels would there be in the 'data view' area? Antibiotic - 15, 12, 18, 20, 17, 16, 20, 20, 19, 20 Antifungal - 17, 20, 20, 18, 20, 16, 15, 18, 17, 19

If a researcher was inputting data relating to blood pressure recordings over differing times during the day, what type of variable would be selected at the level of measurement (of the variable)?

How would you use the drop-down menus in SPSS to generate a frequency table?

What does the operation 'Recode into Different Variables' do to the data?

In SPSS what would be the window that you need to access in order to enter your data for analysis?

If the following data were to be entered onto SPSS, how many columns would you expect to see in the data view area? The following information is collected Antibiotic - 15, 12, 18, 20, 17, 16, 20, 20, 19, 20 Antifungal - 17, 20, 20, 18, 20, 16, 15, 18, 17, 19

What is the correct way to record non-numerical values?

When crosstabulating two variables, it is conventional to

If a doctor wishes to study the effect of a certain type of antibiotic treatment on hospitalized patients, what type of variable will be required to allow for measurements between the group of patients given the treatment and those who are given alternative treatment?

To generate a correlation coefficient between two variables with ordinal data, which set of instructions should you give SPSS?

In SPSS, what is the data view window?

Which of the following could not be represented by columns in the SPSS data editor

Why might a data file have missing data?

Which of the following is not a file extension for files saved in SPSS?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

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: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters