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-1-1Critical Thinking Exercises
https://www.merlot.org/merlot/viewMaterial.htm?id=477462
<p>Critical thinking in my class refers to the ability to answer why and how questions such as why do people commit crimes and why do people vote the way they do. Critical thinking also refers to the ability to develop organized and logical arguments and to test hypotheses using the scientific approach. In my class there are two papers that revolve around the analysis of quantitative data. On this site I have posted the assignments I have used in five semesters along with the data sets that are used in these assignments. These assignments could be used in a critical thinking class or any class that included a component that involved the analysis of quantitative data.</p>Sun, 11 Jul 2010 20:27:53 GMTEd Nelson California State University, FresnoExercises Using the 2014 General Social Survey and SPSS: attitudes toward abortion
https://www.merlot.org/merlot/viewMaterial.htm?id=1066857
<p>There are two exercises that use data from the 2014 General Social Survey to explore topics in attitudes toward abortion. These exercises could be used to help students learn the principles of quantitative analysis with a focus on attitudes toward abortion. Topics include attitudes toward abortion, quantitative analysis, statistics, mesurement, reliability, two- and three-variable tables, percents, Chi Square, measures of association, and Cronbach's Alpha. These exercises refer students to the relevant parts of an online introduction to SPSS – the software package used in the exercises. This online introduction is freely available at <a href="http://ssric.org/node/459" rel="nofollow">http://ssric.org/node/459</a>. Each exercise consists of five files – the data set in SPSS format, extended notes to the instructor, the SPSS syntax necessary to carry out the exercise, and the SPSS output for the exercise. The exercise itself is available in both in HTML and Microsoft Word (docx) format.</p>Thu, 24 Sep 2015 21:10:24 GMTEd Nelson CSU, FresnoPublic Opinion on Social Issues, 1975-2010 (Updated August 2011)
https://www.merlot.org/merlot/viewMaterial.htm?id=478449
<p>This module was designed to introduce students to the basics of data analysis. The focus is on two and three variable crosstabulations. Chi square and measures of association (Gamma, Cramer's V) are introduced and may or may not be used as the instructor wishes. The codebook includes some variables in both recoded and unrecoded form (age, education) so the instructor may teach recoding or not teach it. Variables have been created and added to the data set for religiosity and tolerance. There are two data sets--one that includes only the 2010 file and the other that includes data from six years (1975, 1982, 1989, 1996, and 2002/2004 combined to represent 2003, and 2010). Instructors can choose to focus on a detailed analysis of a single year or on change over time. The focus of the module is on developing and testing hypotheses. These materials will be useful in classes that focus on social problems and in research methods and social statistics classes. Instructors are free to adapt the materials to their classes in any way they would like to. </p>Sat, 17 Jul 2010 17:09:06 GMTElizabeth Nelson; Ed Nelson California State University, Fresno; CSU FresnoSPSS - Interactive Introduction to SPSS Statistical Software
https://www.merlot.org/merlot/viewMaterial.htm?id=479390
<p>The SPSS: Interactive Introduction to SPSS Statistical Software Module is designed to provide an introductory level, interactive lesson that operates within SPSS in order that students can do the exercises, using the regular version of SPSS, during the lesson. While it is designed for social science students who have successfully completed a lower division introductory statistics course, the Module could be used in a variety of settings, including lower division research methods, upper division applied research, or master's thesis supervision groups. The Module is divided into 8 sections, learning how to set-up a data entry page, working with variables, i.e. combine or move, performing descriptive statistical analysis, and conducting a simple analysis.</p>Thu, 22 Jul 2010 18:00:48 GMTEliza BighamExercises Using the 2014 General Social Survey and SPSS: Statistics
https://www.merlot.org/merlot/viewMaterial.htm?id=1066211
<p>These exercises (16 in all) were written for instructors teaching an introductory class in statistics. They were written so each exercise is independent of the others and any one exercise can be used even if the other exercises are not used. The exercises also serve to introduce students to SPSS which is a commonly used statistical package used in many classes. A good reference on using SPSS is <em>SPSS for Windows Version 22.0 A Basic Tutorial</em> by Linda Fiddler, John Korey, Edward Nelson (Editor), and Elizabeth Nelson. The online version of the book is at <a href="http://ssric.org/node/459" rel="nofollow">http://ssric.org/node/459</a>. Students are referred in the exercises to appropriate places in this book. The data set used in this exercise is gss14_subset_for_classes_STATISTICS.sav which is a subset of the 2014 General Social Survey. Each exercise consists of five files all of which can be downloaded: the exercise itself as a Word (docx) file, notes to instructor as a Word (docx) file, the data file in SPSS format, the SPSS syntax necessary to carry out the exercise as a SPSS syntax file, and the SPSS output for the exercise as a SPSS output file. You have permission to use these exercises and to revise them to fit your needs. Each exercise has a set of keywords to give you a quick view of what is covered.</p>Tue, 22 Sep 2015 22:09:23 GMTEd Nelson California State University, FresnoResearch Methods Exercises
https://www.merlot.org/merlot/viewMaterial.htm?id=1287663
<p>This is a series of thirteen exercises which were written for an introductory research methods course. The first exercise focuses on the research design which is your plan of action that explains how you will try to answer your research questions. Exercises two through four focus on sampling, measurement, and data collection. The fifth exercise discusses hypotheses and hypothesis testing. The last eight exercises focus on data analysis. These exercises use one of the Monitoring the Future Surveys (i.e., the 2015 survey of high school seniors in the United States). This data set is part of the collection at the Inter-university Consortium for Political and Social Research at the University of Michigan. The data are freely available to the public and you do not have to be a member of the Consortium to use the data. We use SDA (Survey Documentation and Analysis) to analyze the data which is an online statistical package written by the Survey Methods Program at UC Berkeley and is available without cost wherever one has an internet connection. The exercises can be downloaded as Word (.docx) files. Included with these exercises is a more detailed set of notes for the instructor and an introduction to SDA for students. You have permission to use these exercises and to revise them to fit your needs. Each exercise has a set of keywords to make it easier to find an exercise that meets your needs.</p>Wed, 15 Mar 2017 23:32:01 GMTEd Nelson California State University, FresnoExercise Using SPSS to Explore Conceptualization, Measurement and Relationships Among Variables
https://www.merlot.org/merlot/viewMaterial.htm?id=477882
<p>The goal of this exercise is to think about a concept typically called religious fundamentalism and to consider how we might measure this concept using data from the General Social Survey. Once we have decided on a measure, then we will explore the relationship between this variable and various forms of religious behavior and opinions on various social issues. The data set used in this exercise is gss0204_subset_for_classes.sav which is a combination of the 2002 and 2004 General Social Surveys. (Some of the variables in the GSS have been recoded to make them easier to use and some new variables have been created.) The data have been weighted according to the instructions from the National Opinion Research Center. This exercise uses RECODE to combine categories in existing variables, SELECT CASES to select out a subset of cases, and CROSSTABS to explore the relationships among variables. In CROSSTABS, students are asked to use percentages, Chi Square, and an appropriate measure of association.</p>Tue, 13 Jul 2010 23:06:42 GMTEd Nelson California State University, FresnoExercise Using SPSS to Explore Relationships Among Variables
https://www.merlot.org/merlot/viewMaterial.htm?id=477834
<p>The goal of this exercise is to explore the relationship between religiosity and other variables using crosstabulation. This exercise will focus on two-variable relationships and then on three-variable relationships. The concepts of explanation, spuriousness, and replication will also be explored. The data set used in this exercise is gss0204_subset_for_classes.sav which is a combination of the 2002 and 2004 General Social Surveys. (Some of the variables in the GSS have been recoded to make them easier to use and some new variables have been created.) The data have been weighted according to instructions from the National Opinion Research Center. This exercise uses RECODE and CROSSTABS in SPSS to explore relationships among variables. In CROSSTABS, students are asked to use percentages, Chi Square, and an appropriate measure of association. Two-variable and three-variable relationships will be explored, along with the concepts of explanation, spuriousness, and replication.</p>Tue, 13 Jul 2010 19:29:08 GMTEd Nelson California State University, FresnoExercises Using SPSS to Explore Measurement, Validity, and Relationships Among Variables
https://www.merlot.org/merlot/viewMaterial.htm?id=477831
<p>The goal of this exercise is to create a measure of religiosity. We will also validate our measure. Validity refers to whether we are measuring what we think we are measuring. If we can show that we are measuring what we say we are measuring, that we have validated the measure. Once we have validated the measure, we’ll see how it is related to other variables. The data set used in this exercise is gss0204_subset_for_classes.sav which is a combination of the 2002 and 2004 General Social Surveys. (Some of the variables in the GSS have been recoded to make them easier to use and some new variables have been created.) The data have been weighted according to the instructions from the National Opinion Research Center. This exercise uses RECODE and IF in SPSS to create new variables and CROSSTABS to explore the relationships among variables. In CROSSTABS, students are asked to use percentages, Chi Square, and an appropriate measure of association. You could also skip the part of the exercise that involves the creation the new measure of religiosity, since that variable (RELIGOS) is included in the data set. Then you could go directly to Parts III and IV which deal with validity.</p>Tue, 13 Jul 2010 19:24:38 GMTEd Nelson California State University, FresnoExercises Using the 2014 General Social Survey and SPSS: Confidence in Societal Institutions and Spending Priorities
https://www.merlot.org/merlot/viewMaterial.htm?id=1176321
<p>There are four exercises that use data from the 2014 General Social Survey to explore confidence in societal institutions and spending priorities. These exercises could be used to help students learn the principles of quantitative analysis. Statistical topics covered include frequency distributions, crosstabs, two and three variable tables, percents, Chi Square, and measures of association. These exercises refer students to the relevant parts of an online introduction to SPSS – the software package used in the exercises. This online introduction is freely available at <a href="http://ssric.org/node/459" target="_blank" rel="nofollow">http://ssric.org/node/459.</a> Each exercise consists of five files – the data set in SPSS format, extended notes to the instructor, the SPSS syntax necessary to carry out the exercise, and the SPSS output for the exercise. The exercise itself is available in both in HTML and Microsoft Word (docx) format.</p>Fri, 17 Jun 2016 23:30:10 GMTEd Nelson California State University, FresnoExercises Using the 2014 General Social Survey and SPSS: Tolerance
https://www.merlot.org/merlot/viewMaterial.htm?id=1066848
<p>There are three exercises that use data from the 2014 General Social Survey to explore topics in tolerance. Tolerance is measured using questions that are based on the work of Samuel Stouffer in his classic book <em>Communism, Conformity, and Civil Liberties</em>. These exercises could be used to help students learn the principles of quantitative analysis with a focus on tolerance. Topics include tolerance, percentages, Chi Square, measures of association, two- and three-variable tables, and spuriousness. These exercises refer students to the relevant parts of an online introduction to SPSS – the software package used in the exercises. This online introduction is freely available at <a href="http://ssric.org/node/459" rel="nofollow">http://ssric.org/node/459</a>. Each exercise consists of five files – the data set in SPSS format, extended notes to the instructor, the SPSS syntax necessary to carry out the exercise, and the SPSS output for the exercise. The exercise itself is available in both in HTML and Microsoft Word (docx) format.</p>Thu, 24 Sep 2015 20:52:37 GMTEd Nelson CSU, FresnoGender Difference Exercises Using SPSS and the General Social Survey
https://www.merlot.org/merlot/viewMaterial.htm?id=1120318
<p>There are four exercise that use data from the 2014 General Social Survey to explore gender differences. These exercises could be used to help students learn the principles of quantitative analysis with a focus on gender differences. The exercises look at gender differences in political party affiliation, political orientation (conservative, moderate, liberal), political interest, voting, and opinion on the social issues of abortion, capital punishment, and gun control. Control variables (i.e., family income, respondent's income, gun ownership) are added into the analysis to see how they affect gender differences. Exercises refer students to the relevant parts of an online introduction to SPSS, the software package used in this analysis. This online introduction is freely avalable at <a href="http://ssric.org/node/459" rel="nofollow">http://ssric.org/node/459</a>. Each exercise consists of four files -- the data set in SPSS format, extended notes to the instructor, the SPSS syntax necessary to carry out the exercise, and the SPSS output for the exercise.</p>Tue, 26 Jan 2016 01:02:05 GMTEd Nelson California State University, FresnoGeneral Social Survey (2014): Statistics Using SDA (Survey Documentation and Analysis)
https://www.merlot.org/merlot/viewMaterial.htm?id=1254901
<p>These exercises (15 in all) were written for instructors teaching an introductory class in statistics. They were written so each exercise is independent of the others and any one exercise can be used even if the other exercises are not used. These instructional exercises were originally written for SPSS. However, some colleges, including many community colleges, do not have a site license for SPSS. The cost of SPSS is often prohibitive, so I rewrote the exercises to run in SDA, an online statistical package written and maintained at UC Berkeley. SDA is freely available wherever you have an internet connection. I prepared a document to help you with SDA (Notes on Using SDA) which should answer some of your questions about SDA. These documents can be downloaded from the website. The data set used in this exercise is the 2014 General Social Survey. Each exercise consists of two files both of which can be downloaded: the exercise itself as a Word (docx) file and notes to instructor as a Word (docx) file. You have permission to use these exercises and to revise them to fit your needs. Each exercise has a set of keywords to give you a quick view of what is covered.</p>Sat, 03 Dec 2016 18:29:00 GMTEd Nelson California State University, FresnoExercises Using the 2014 General Social Survey and SPSS: Religion
https://www.merlot.org/merlot/viewMaterial.htm?id=1066204
<p>Description: There are four exercises that use data from the 2014 General Social Survey to explore topics in religion. These exercises could be used to help students learn the principles of quantitative analysis with a focus on religion. Topics include religious preference, religiosity, fundamentalism, conceptualization, measurement, reliability, validity, hypotheses, and spuriousness. These exercises refer students to the relevant parts of an online introduction to SPSS – the software package used in the exercises. This online introduction is freely available at <a href="http://ssric.org/node/459" rel="nofollow">http://ssric.org/node/459</a>. Each exercise consists of five files – the data set in SPSS format, extended notes to the instructor, the SPSS syntax necessary to carry out the exercise, and the SPSS output for the exercise. The exercise itself is available in both in HTML and Microsoft Word (docx) format.</p>Tue, 22 Sep 2015 21:38:53 GMTEd Nelson California State University, FresnoRepresentation in California's State Legislature
https://www.merlot.org/merlot/viewMaterial.htm?id=478887
<p>This module offers you ways to learn more about the theory and practice of popular government. It focuses upon political representation and legislative behavior and allows you to compare representative policymaking in the California state legislature with the making of policy through the direct democratic device of the initiative process. It utilizes demographic data from the U.S. census, from election returns for the state legislature, from rollcall votes in the legislature, and from votes for and against popular initiatives. The focus on Analyzing Legislative Behavior includes Party Behavior, Interest Groups, Region or Area, Policy Issues, District Ideology, District Partisanship, Election Outcomes, Member Characteristics, and Member Voting Behavior. There is also an extensive discussion of statistical procedures. Pedagogical significance of module. Substantively, the REPR module provides students with data that can be used to study the concept of representation in courses on empirical theory, the legislative process, and California politics. Methodologically, it provides students with ratio level data that can be used in univariate analysis, comparisons of means, least squares (regression) analysis, and the creation of various graphic displays of information.</p>Tue, 20 Jul 2010 17:35:12 GMTJeDon Emenhiser; John Korey Humboldt State University