Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the "story" of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis.

Module 11: Aggregating Data and Restructuring Files

Data Files for This Module

  • module10_merged_no41.sav
  • module11_mathcourse.sav
  • module11_demotests_mathcourse.sav
  • module11_demotests_mathcourse_recodes_aggr.sav
  • module11_demotests_mathcourse_recodes_aggr_restructure.sav

Key Learning Objectives

The student will learn to

  • aggregate data to obtain an average math grade and to determine the number of semesters math courses were taken
  • restructure a file so that all data for a student are contained in one row/case rather than multiple rows/cases

A. Description of Researcher's Study

This module describes Dr. Salerno's preparation for answering the second ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles