Module 2 - SLP

MULTIPLE REGRESSION

Overview of Session Long Project

For the Session Long Project, you will be analyzing data collected on 87 respondents for the 2016 General Social Survey.

Smith, T. W., Davern, M., Freese, J., & Hout, M. (n.d.) General social surveys, 1972-2016 [machine-readable data file]. Principal Investigator, Smith, Tom W.; Co-Principal Investigators, Peter V. Marsden and Michael Hout; Sponsored by National Science Foundation. --NORC ed.-- Chicago: NORC, 2018: NORC at the University of Chicago [producer and distributor]. Data accessed from the GSS Data Explorer website atgssdataexplorer.norc.org.

The objective of this study is to examine predictors for email (number of weekly hours spent using email). This project will involve analyzing descriptive statistics, correlation and bivariate analysis, checking assumptions, and performing linear and multiple regression.

For the SLP, you will be using theGSS.savdataset, which includes six variables: ID, age (years), email (using email measured in weekly hours), children (number of children), sex (0=female, 1=male), and income (0= LT $1000 – 24999, 1= $25000 or more).

*Please refer toSPSS Commandsfor tips on analyzing data.

Review of Module 1

In Module 1, you performed descriptive and bivariate analysis on the dataset. In this module, you will be performing simple regression.

Module 2

Stage 3. Simple Regression

Perform two simple linear regressions: 1) age as a predictor of email, and 2) children as a predictor of email. Describe and interpret the results (including the coefficients). Include the linear regression equations. How do the R values in linear regression relate to the correlation coefficient in the case of age and children?

Please submit Module 2 SLP at the end of Module 2.

SLP Assignment Expectations

Length: SLP assignments should be at least 2 pages (500 words) in length excluding tables.

References: Any references used should be from academic sources and cited using APA format.

Organization: Subheadings should be used to organize your paper according to question.

Format: This assignment should be written in a scientific format (as in the "Results" section of a peer-reviewed study). APA format is required for all assignments at the PhD level. Refer to the following guidelines in presenting tables and results in APA format: 1.APA Table Guidelines, 2.Reporting Results. See Syllabus page for more information on APA format.

Grammar and Spelling: While no points are deducted for minor errors, assignments are expected to adhere to standard guidelines of grammar, spelling, punctuation, and sentence syntax. Points may be deducted if grammar and spelling impact clarity.

The following items will be assessed in particular:

• Relevance—All content is connected to the question.


• Precision—Specific questions are addressed. Calculations, statements, facts, and statistics are specific and accurate.


• Depth of discussion—Points are presented and integrated.


• Evidence—Statements are well supported with facts, statistics or references.


• Logic—Presented discussion makes sense; conclusions are logically supported by premises, statements, or factual information.


• Clarity—Writing is concise and understandable, and subjects are sufficiently described.


• Objectivity—The use of first person and subjective bias are avoided.