University of Ottawa Department of Criminology CRM 3334 Quantitative Research Methods in Criminology

University of Ottawa Department of Criminology CRM 3334 Quantitative Research Methods in Criminology

Prof. Ins Tavares

Student: Student #:

ASSIGNMENT 2

DIRECTIONS

The log is essential to some of these questions. If you do not insert the log in your output, your question will be graded 0.

Do not forget that you are being evaluated by how well you operate SPSS and interpret it. Interpretation is generally 70-80% of the grade.

Please keep your output in order. Leave on it only the correct answers. Out-of-control outputs will be docked 1.0.

The due date is December 13th , 2023.

You need to submit two documents via email (iferrei3@uottawa.ca): the SPSS output and a Word document with your interpretation (do not send PDFs).

DO NOT SEND FILES VIA LINKS; FILES MUST BE SENT AS ATTACHMENTS. Your assignment will not be considered submitted until you send all files as attachments.

If you fail to submit your assignment on December 13th, do it within the next 3 business days (5% docked by day of delay). Assignments submitted later than that will not be accepted.

How to email an SPSS output:

Option 1: from your home computer: Save your Output in your shared folder (the folder in your computer that VmWare has access to - https://uottawa.brightspace.com/d2l/le/content/393728/viewContent/5501351/View ). Access your email from your home computer. Attach the file from the shared folder and send it by email.

Option 2: from a uOttawa computer: Save your Output in your H or Z Drive ( https://uottawa.brightspace.com/d2l/le/content/393728/viewContent/5501353/View ). Access your email from the university computer. Attach the file from the H or Z Drive and send it by email.

ASSIGNMENT 2

For this assignment, you must use the database <<Trust_In_The_Police_In_Belgium>> available on Brightspace: https://uottawa.brightspace.com/d2l/le/content/393728/viewContent/5679744/View

10 pts. Is there a statistically significant difference in the trust in the police (TRSTPLC) between men and women (FEMALE) with 16 years of education (EDUYRS) at a 0.05 significance level? Select the necessary data and run the appropriate test to answer the question.

RESET THE FILTER FROM THE 1st QUESTION. FROM NOW ON, THE QUESTIONS DO NOT USE ANY FILTERS.

5 pts. In relation to the opinion of how successfully the police are preventing crime (PLCPVCR), is there a statistically significant difference among groups with different feelings about their household income (HINCFEL) at a 0.05 significance level?

5pts. Analyze the possible correlations between the variables PLCPVCR, TRSTPLC and AGEA

A) 7pts. How does age (AGEA), gender (FEMALE), and years of education (EDUYRS) predict someones trust in the police (TRSTPLC), with a 0.05 significance level? Produce and analyse through SPSS a linear regression output that represents the relationship between these variables.

B) 1pt. Create the equation that represents the relationship between these variables.

C) 1pt. If a woman is 38 years old and has 19 years of education, what is her expected level of trust in the police?

D) 1pt. If a man is 64 years old and has 5 years of education, what is his expected level of trust in the police?

Trust in the Police in Belgium (European Social Survey, Round 5)

Description

This is a sample data set cobbled from the fifth round of European Social Survey data for Belgium. It offers a means to do a basic replication of some of Chapter 5 of The SAGE Handbook of Regression Analysis and Causal Inference.

Usage

ESSBE5

Format

A data frame with 1704 observations on the following 10 variables.

essround

a numeric for the ESS round

edition

a character for the edition number of the fifth round

idno

a numeric id number

cntry

a character vector for the country (i.e. Belgium, or BE)

trstplc

a numeric vector for trust in the police on an 11-point scale. Higher values indicate more trust. 0 = "no trust at all". 10 = "complete trust"

agea

a numeric vector for the respondent's age

female

a numeric vector for whether the respondent is a woman or not.

eduyrs

a numeric vector for years of education.

hincfel

a numeric vector for the respondent's feeling about their household income. 1 = "living comfortably", 2 = "coping on present income", 3 = "difficult on present income", 4 = "very difficult on present income"

plcpvcr

a numeric vector for how successful police are at preventing crimes in a country on an 11-point scale. 0 = "extremely unsuccessful". 10 = "extremely successful."

Details

See Chapter 5 of The SAGE Handbook of Regression Analysis and Causal Inference for more information.

Source

European Social Survey (Round 5)