Question 1

Why might your experimental 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. A

Question 2

Your manager had asked you to identify the number of men responding in your annual staff survey. How would you generate this output?

Accepted Answer

A)  Open the output viewer and click on Save As$\rightarrow$Pie Chart 
B)  Click on-Analyse$\rightarrow$Descriptive Statistics$\rightarrow$Frequencies 
C)  Click on-Graphs$\rightarrow$Frequencies$\rightarrow$Pearson 
D)  Open the variable viewer and recode the value labels. 
A)  Open the output viewer and click on Save As$\rightarrow$Pie Chart 
B)  Click on-Analyse$\rightarrow$Descriptive Statistics$\rightarrow$Frequencies 
C)  Click on-Graphs$\rightarrow$Frequencies$\rightarrow$Pearson 
D)  Open the variable viewer and recode the value labels. B

Question 3

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

Question 4

What operation does the 'Recode into Different Variables' initiate?

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 5

A colleague in your research agency has phoned and asked you in which sub-dialog box the chi-square test can be found. Which do you recommend?

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 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

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.

Question 8

An analyst at your firm and you are discussing missing data. What might you suggest as an appropriate strategy for dealing with larger quantities of 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.

Question 9

In your experiment (Q12) you also ask some qualitative questions to enrich the statistical data. What is the correct way to record non-numerical values in SPSS?

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 10

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

Question 11

You have been asked to assess various atmospheric environments for a brand new fashion retail store. If you are therefore constructing a data file for a repeated-measure design with 190 subjects and three conditions (light and airy, warm and cosy, dark and intense), 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 12

If you see in SPSS the number 8.51 E-02 reported, what is the actual value of this number?

Accepted Answer

A)  8.51 x 102  
B)  85.1 x 102 
C)  8.51 x 10-2 
D)  85.1 x 10-2 
A)  8.51 x 102  
B)  85.1 x 102 
C)  8.51 x 10-2 
D)  85.1 x 10-2

Question 13

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 14

When cross-tabulating two variables, it is conventional to?

Accepted Answer

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

Question 15

Why do business analysts use SPSS rather than performing calculations 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.

Question 16

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

Accepted Answer

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

Why might your experimental data file have 'missing data'?

Your manager had asked you to identify the number of men responding in your annual staff survey. How would you generate this output?

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

What operation does the 'Recode into Different Variables' initiate?

A colleague in your research agency has phoned and asked you in which sub-dialog box the chi-square test can be found. Which do you recommend?

Ordinal level data are characterized by?

How is a variable name different from a variable label?

An analyst at your firm and you are discussing missing data. What might you suggest as an appropriate strategy for dealing with larger quantities of missing data?

In your experiment (Q12) you also ask some qualitative questions to enrich the statistical data. What is the correct way to record non-numerical values in SPSS?

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

If you see in SPSS the number 8.51 E-02 reported, what is the actual value of this number?

In SPSS, what is the data view window?

When cross-tabulating two variables, it is conventional to?

Why do business analysts use SPSS rather than performing calculations by hand?

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

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

Exploring Data With Graphs

Non-Parametric Models

Correlation

Regression

Comparing

Moderation, Mediation and Multicategory Predictors

Comparing Several Means

Analysis of Covariance

Factorial Anova

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Logistic Regression

Multilevel Linear Models

Filters

Exam 4: The Ibm Spss Statistics Environment

Why might your experimental data file have 'missing data'?

Your manager had asked you to identify the number of men responding in your annual staff survey. How would you generate this output?

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

What operation does the 'Recode into Different Variables' initiate?

A colleague in your research agency has phoned and asked you in which sub-dialog box the chi-square test can be found. Which do you recommend?

Ordinal level data are characterized by?

How is a variable name different from a variable label?

An analyst at your firm and you are discussing missing data. What might you suggest as an appropriate strategy for dealing with larger quantities of missing data?

In your experiment (Q12) you also ask some qualitative questions to enrich the statistical data. What is the correct way to record non-numerical values in SPSS?

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

If you see in SPSS the number 8.51 E-02 reported, what is the actual value of this number?

In SPSS, what is the data view window?

When cross-tabulating two variables, it is conventional to?

Why do business analysts use SPSS rather than performing calculations by hand?

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

Why Is My Evil Lecturer Forcing Me to Learn Statistic

The Spine of Statistics

The Phoenix of Statistics

Exploring Data With Graphs

Non-Parametric Models

Correlation

Regression

Comparing

Moderation, Mediation and Multicategory Predictors

Comparing Several Means

Analysis of Covariance

Factorial Anova

Repeated-Measures Designs

Mixed Design Anova

Multiple Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Data

Logistic Regression

Multilevel Linear Models

Filters