Essential First Steps to Data Analysis

Carol S. Parke - Duquesne University, Pittsburgh, PA, USA

Courses:
Quantitative Research Methods in Education

December 2012 | 288 pages | SAGE Publications, Inc

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.

Available Formats

ISBN: 9781412997515	Paperback	Suggested Retail Price: $75.00	Bookstore Price: $60.00
ISBN: 9781483316024	Electronic Version	Suggested Retail Price: $54.00	Bookstore Price: $43.20

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Section 1. The Sample

Module 1. Checking the Representativeness of a Sample

Module 2. Splitting a File, Selecting Cases, Creating Standardized Values and Ranks

Section 2. Nature and Distribution of Variables

Module 3. Recoding, Counting, and Computing Variables

Module 4. Determining the Scale of a Variable

Module 5. Identifying and Addressing Outliers

Section 3. Model Assumptions

Module 6. Evaluating Model Assumptions for Testing Mean Differences

Module 7. Evaluating Model Assumptions for Multiple Regression Analysis

Section 4. Missing Data

Module 8. Determining the Quantity and Nature of Missing Data

Module 9. Quantifying Missing Data and Diagnosing its Patterns

Section 5. Working with Multiple Data Files

Module 10. Merging Files

Module 11. Aggregating Data and Restructuring Files

Module 12. Identifying a Cohort of Students

Supplements

Student Study Site

The student site features:

· Data Files: Each module is accompanied by data files that are used as examples in the analyses that are presented.

Having different research studies presented rather than using the same context throughout the text helps keep the material more interesting for the reader, as well as helping students generalize their learning across different research contexts.

Julie Alonzo

University of Oregon

The ‘real world’ scenarios captivate the reader but also provide pertinent context to see just how it relates to the content area at hand in each module.

Kyle M. Woosnam

Texas A&M University

The strength of the text is in how the author identifies the goals of the analysis under discussion and then steps the reader through the tasks necessary to realize those goals.

Claude Rubinson

University of Houston-Downtown

There are not many texts on data preparation in the field, so I believe this text would provide a unique contribution. …I agree wholeheartedly with the preface, that the other guides are simple “how-to” books that do not effectively connect students with real examples that can serve as a guideline in their own analysis experiences.

Carrie L. Cook

Georgia College & State University

A key strength of this text is that it focuses on the practical aspects of MANAGING research data rather than statistical programming or statistical analysis.

Amy B. Jessop

The University of the Sciences in Phiadelphia

I like that the book is written with cases/stories—I think that especially for counseling/psych students, these stories are going to help them contextualize the ideas more so than they would without these stories. I also like that the book give the students example write-ups. I think that is a priceless addition to any textbook about conducting statistical tests.

Karen H. Larwin

Youngstown State University

Key features

This is not simply a "how-to" book; instead, it is a practical book that focuses on critical thinking, allowing readers to understand why a researcher would want (or need) to take these initial steps to data analysis.
Written summaries at the end of each scenario provide readers with examples of how a researcher communicates and summarizes issues, decisions, and findings in words.
"Asides" from the researcher offer more information to the reader (for example, indicating why a particular choice was made or optional routes that could have been taken), allowing the reader to get further inside the researcher's thoughts, and adding additional nuances to the scenario.
Included SPSS tips help the reader understand the use of SPSS more fully. Certain procedures, and various options within them, are explained in further detail.
Learning objectives at the beginning of each scenario offer the reader an at-a-glance way to determine the major content covered within the scenario.
Extensions at the end of each scenario provide starting points for further discussion of the research or statistical concepts included in the scenario, or suggestions for additional practice of what was learned. These are useful both for the student and for the instructor.
A research-based approach to presenting the content places the data analysis and preparation in a real-world context. As an added benefit, this may create a springboard for specific discussions of students' and instructor's own data sets. This often leads to in-depth discussions and likely interactions about very practical issues.