# All models are wrong. Some models are useful. —George E. P. Box (1919–2013)

All models are wrong. Some models are useful.

—George E. P. Box (1919–2013)

Statistician

Describing and explaining social phenomena is a complex task. Box’s quote speaks to the point that it is a near impossible undertaking to fully explain such systems—physical or social—using a set of models. Yet even though these models contain some error, the models nevertheless assist with illuminating how the world works and advancing social change.

The competent quantitative researcher understands the balance between making statements related to theoretical understanding of relationships and recognizing that our social systems are of such complexity that we will always have some error. The key, for the rigorous researcher, is recognizing and mitigating the error as much as possible.

As a graduate student and consumer of research, you must recognize the error that might be present within your research and the research of others.

To prepare for this Discussion:

• Use the Walden Library Course Guide and Assignment Help      found in this week’s Learning Resources to search for and select a      quantitative article that interests you and that has social change      implications.
• As you read the article, reflect on George Box’s quote      in the introduction for this Discussion.
• For additional support, review the Skill Builder:      Independent and Dependent Variables, which you can find by navigating      back to your Blackboard Course Home Page. From there, locate the Skill      Builder link in the left navigation pane.

By Day 3

Post a very brief description (1–3 sentences) of the article you found and address the following:

1. Describe how you think the research in the article is useful (e.g., what population is it helping? What problem is it solving?).

2. Using Y=f(X) +E notation, identify the independent and dependent variables.

3. How might the research models presented be wrong? What types of error might be present in the reported research?

Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.

· Chapter 1, “The What and the Why of Statistics” (pp. 1–21)

Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.

· Chapter 1, “Overview”

Dietz, T., & Kalof, L. (2009). Introduction to social statistics: The logic of statistical reasoning. West Sussex, United Kingdom: Wiley-Blackwell.

Introduction to Social Statistics: The Logic of Statistical Reasoning, 1st Edition by Dietz, T.; Kalof, L. Copyright 2009 by John Wiley & Sons – Books. Reprinted by permission of John Wiley & Sons – Books via the Copyright Clearance Center.

· Chapter 1, “An Introduction to Quantitative Analysis” (pp. 1–31)

Dietz, T., & Kalof, L. (2009). Introduction to social statistics: The logic of statistical reasoning. West Sussex, United Kingdom: Wiley-Blackwell.

Introduction to Social Statistics: The Logic of Statistical Reasoning, 1st Edition by Dietz, T.; Kalof, L. Copyright 2009 by John Wiley & Sons – Books. Reprinted by permission of John Wiley & Sons – Books via the Copyright Clearance Center.

· Chapter 2, “Some Basic Concepts” (pp. 33–63)

Introduction to Social Statistics: The Logic of Statistical Reasoning, 1st Edition by Dietz, T.; Kalof, L. Copyright 2009 by John Wiley & Sons – Books. Reprinted by permission of John Wiley & Sons – Books via the Copyright Clearance Center.