tapeMETHODS AND MEASUREMENTStape
      This page is now in a less primitive stage of development.
      Updated 01/09/99
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      Chi-Square     Factor Analysis    Log Linear Analysis    Online Help
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      Some Basic Concepts in Meaurement
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      There are various conceptual and measurement issues to consider before you embark on your journey into research. Most of these issues come under the heading of Methodology. What kind of research is necessary to answer your research question? Do you want to look at a single point in time? Or do you want to look at change over time? Would this be a change in general attitudes?
      First we'll look at the different types of statistical analysis as they relate to the temporal factor.

      Cross Sectional Study. In survey research, this is a study in which data are obtained at only one point in time. This contrasts with longitudinal studies in which a panel of the same individuals is interviewed repeatedly over a period of time. A cross sectional study can ask questions about previous periods of time.

      Longitudinal Study. This is a type of study in which the same group of individuals is interviewed at intervals over a period of time. (See also: panel study.) Some cross sectional studies are done regularly (for instance, the General Social Survey and the Current Population Survey [Annual Demographic File] are conducted once a year), but different individuals are surveyed each time. Such a study is not a true longitudinal study. An example of a longitudinal study is the National Longitudinal Survey of Labor Market Experience.

      Panel Study. This is a longitudinal study in which a panel of individuals is interviewed at intervals over a period of time. In general usage, the definitions of longitudinal study and panel study overlap. At least one author says that the term "panel study" is sometimes used for studies that are restricted to a short period of time or are limited to two or three interviews and "longitudinal study" is used for studies that last longer or include more interviews; but there are significant examples where this distinction is not accurate. In general, longitudinal studies involve panels of respondents and panel studies are longitudinal studies. Examples of panel studies include the Survey of Income and Program Participation (SIPP) and the Panel Study of Income and Dynamics (PSID).

      Time Series. Observations of a variable are made over time. Many economic studies such as International Financial Statistics, and Citibase are time series datafiles. Time series, of a sort, can also be constructed from a cross sectional study if the same questions are asked more than once over time such as in the General Social Surveys. (See also longitudinal study.)

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      A second consideration is the statistical method we use to analyze the data. This is in great part decided by the level of measurement of the data involved. Do you have a specified dependent variable? What level of measurement is your dependent variable? What level of measurement are your independent variables? Selecting Statistics takes you through a series of questions concerning the data you are using, such as number of variables, dependent specified?, and level of measurement, and then suggests the type of analysis suited to the data. Below we will cover some of these statistical techniques. (I'll add to them as I learn more about the different types.)
       

      CHI-SQUARE

      Chi-square tells us whether the relationship we observe between two nominal or ordinal variables is likely to be due to chance or sampling error. The concept underlying the chi-square statistic forms the basis of several other statistical measures. What chi-square looks at is the difference between the expected distribution of responses on two or more variables and the observed distribution of responses.[Top]
       

      DATA TRANSFORMATIONS

      Data transformation refers to adjusting the data to better meet the assumptions of the statistical techniques you are going to employ. Most of these methods deal with high skewness and, consequently, high kurtosis. [Top]
       

      FACTOR ANALYSIS 11/03/97 I think it's complete now!!  updated 08/04/98

      Factor analysis is a statistical technique used to identify common components (or factors) underlying a set of items in survey data. I have used an analytical sample to explain this technique. [Top]
       

      LOG LINEAR ANALYSIS -- still in development

      This is a multivariate statistical technique which allows us to incorporate ordinal or even nominal level variables in multivariate analysis. Log-linear analysis transforms non-linear models into essentially linear models through the use of logarithms.[Top]
       

      LOGISTIC REGRESSION (not up yet)

      Some Basic Concepts in Measurement

      • P-values and Alpha Levels probability
      • Measures of Central Tendency mean, median and mode
      • Inferential Statistics  what does the sample tell us about the population it was drawn from?
      • Levels of Measurement  nominal, ordinal, interval, ratio
      • t-test testing the difference between two groups
      • Dummy variables  using nominal, ordinal variables in regression analyses
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      HELP WITH METHODOLOGICAL AND STATISTICAL SKILLS

      Bibliography for Methodology   a reading list for various methodologies

      The Center For Statistical Consultation and Research - UM can ask e-mail questions about SAS and SPSS codes

      The CHANCE Database Welcome Page Introduction to probability and statistics; a database of resources for teaching probability and statistics including articles from newpapers and some journals

      Content Analysis --"resources for making child's play of sophisticated content analyses" software available for analysis of text, video, and "image" content; links to articles on content analysis

      Data Sonification Project Tutorial. By John Flowers, et al. at Univerisity of Nebraska-Lincoln. Demonstrates ways sounds are being used to display data for data analysis and teaching of quantitative methods and statistics. Interesting Idea!

      Knowledge Base online hypertext textbook: Introduction to Applied Social Research

      Methods in Behavioral Research Web Pages designed to go with Paul C. Cozby's Book of the same name

      Presenting Qualitative Data by Ronald J. Chenail,The Qualitative Report, Volume 2, Number 3, December, 1995

      The Problems with Statistics A short paper on reasoning with statistics by Richard F. Taflinger, Includes "Things to Consider about Statistics"  Who did the study? What are the statistics measuring? Who was asked? How were they asked? Compared with what?

      QualPageresources for qualitative researchers

      The Question Factory a laboratory where you help create new survey research instruments by answering open-ended and fixed-choice questions; you could "borrow" the questions for your own research design

      Research Design Explained, 3rd ed. Web pages designed to go with Mark Mitchell's and Janina Jolley's book of the same title; focus on psychology

      Research Methods lots of links

      Roland Hawkes' Social Science Research Methods and Statistics: Resources for Teachersmostly links to "resourceful" pages on the Web

      Selecting Statistics this site takes you through a series of questions concerning the data you are using, such as number of variables, dependent specified?, and level of measurement, is normal distribution assumed?, and then suggests the type of analysis you should conduct (NOTE: UTSA grad students! This is a computerized version of the handout from Dr. Harris' graduate methods course)

      Social Science Research Methods and Statistics: Resources for Teachers

      Sociological Methodology Sociological Methodology is an annual volume on methods of research in the social sciences. Site provides abstracts of articles.

      Sociology Courses on the Internet

      Statistics Glossary A nice glossary of statistical terms from V.J. Easton & J.H. McColl

      World Lecture Hall - Sociology

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      HELPFUL TOOLS ONLINE

      Berkeley's CSA Tools create your own crosstabulations or means comparisons using the NORC General Social Surveys, and assorted other data sets http://csa.berkeley.edu:7502

      Central Limit Theorem Applet. An interactive program to illustrate the operation of the central limit theorem.

      Download Statistical Software Jim Spickard provides both data and analytical software for teaching concepts in sociology; shareware and freeware

      Guessing Correlations A nice little applet (Requires a Java Capable Browser) that will show four correlations for you to guess.

      The Microsociology Gallery. A set of hypercard applications for social psychology and sociology.

      OASISSThis program allows users to do frequency runs, recoding of variables, and crosstabulations using SPSS as a background.

      Regression Applet. Move one data point and see what happens to a regression line. Test for the effect of outliers.

      The Research Randomizer creates a set of "pseudo-randomized" numbers; Works Best with Netscape 4.0 or higher.

      Software and Datasets for Sociology and Demography these appear to be small teaching data sets

      Windows/DOSsoftware archive focussing on statistics

      Social Science Statistics and Research Search Engine

      World-Wide Web Virtual Library: Statistics

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      SOFTWARE PACKAGES

      MicroCase Corporation recently launched a fairly comprehensive web page; users can request exam copies of textbooks on-line, obtain technical support, download demo versions of MicroCase (or ShowCase or their Electronic Catalog), obtain information on any of their products, and more.

      SAS

      SPSS
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        Thanks to UTSA for this Web space.[Top]
        Links tested 08/05/98.  Updated 08/05/98