The exact setup of these windows has changed several times during stata s history. Lisrel proprietary statistical software package list of basic statistics topics redirects to outline of statistics list of convolutions of probability distributions. The goal of a configural frequency analysis is to detect patterns in the data that occur significantly more such patterns are called types or significantly less often such patterns are called antitypes than expected by chance. Stata is a software package popular in the social sciences for manipulating and summarizing data and. Stepbystep program sequences are used to show readers how to employ cfa methods using commercial software packages, such as sas, spss, systat, splus, or those written specifically to perform cfa.
In many other problems, we could do it also for the last observation in each group, but that is not good in this problem. Personcentered methods configural frequency analysis. Welcome to the main library and scholarly commons library guide for stata data analysis and statistical software at the university of illinois urbanachampaign. Configural frequency analysis cfa is a new method for identifying types. It has been deemed to be impractical for large numbers of parameters and large marginal sums. His main goal is to assess the effectiveness of social programs aimed at providing health. This program can be used to analyze data collected from surveys, tests, observations, etc. Configural frequency analysis and loglinear modeling are presented as personcentered analytic approaches for the analysis of categorical or categorized data in multiway contingency tables. Configural frequency analysis is a method used by researchers to screen special.
Openingsaving a stata datafile quick way of finding variables subsetting using conditional if stata color coding system from spsssas to stata example of a dataset in excel from excel to stata copyandpaste. Stepbystep program sequences are used to show reade. After starting stata, the display will show an overall stata window consisting of several subwindows. Stata is a complete, integrated software package that provides all your data science needsdata manipulation, visualization, statistics, and automated reporting. Prerequisites include an understanding of descriptive statistics, hypothesis testing, statistical model fitting, and some understanding of categorical data analysis and. As you may have guessed, this book discusses data analysis, especially data analysis using stata. Italian has 3 letters with a frequency greater than 10% and 9 characters are less than 1%. Advances in configural frequency analysis methodology in the social sciences. Title configural frequencies analysis using loglinear modeling. Unlike other stata tabulation commands such as tabulate, table, or tabstat. Eric ej1151527 using configural frequency analysis as. Programs for cfa include the cfa module in the sleipner software. An efficient algorithm for lindners test configural.
Maybe in district 2 there is a high frequency of locationfocused keywords in the title, whereas in district 3 there is a high frequency of emotional keywords. Configural frequency analysis cfa is a widely used method of explorative data analysis. Text mining with stata language, word count, keywords. T2 an examination of selfreported intervention strategy use, moderator effects, and concurrent use of multiple strategies. Configural frequency analysis cfa is a method of exploratory data analysis, introduced by gustav a. For example, configural frequency analysis identifies combinations of. Keywords st0524, baselinetable, summary statistics table, health research tables. Advances in configural frequency analysis methodology in the. Configural frequency analysis is a method of exploratory data analysis, introduced by gustav a. If one of the characters has a 20% then the language may be german since it has a very high percentage of e. Configural frequency analysis and association analyses in. Thus, the idea of a cfa is to provide by the identified types and antitypes some insight into the structure of the data.
A functional approach to configural frequency analysis. In stata, you can easily sample from your dataset using these weights by using expand to create a dataset with an observation for each unit and then sampling from your expanded dataset. The use of configural frequency analysis for explorative data. The book describes the use of an rpackage called confreq derived from configural frequency analysis. When fewer individuals than expected display a pattern they belong to an antitype. Discretetfds time frequency analysis software this is a collection of matlab files for computing time frequency distributions or time frequency representations. The large timefrequency analysis tb ltfat is a matlaboctave fourier, time frequency and wavelet toolbox. Using configural frequency analysis as a personcentered analytic. In the years since 1995, cfa has developed at a rapid rate. Stata commands are in grey and stata output is in black 4 n o i t c u d o r t n i purpose establish standard methods for analysis of healthy youth survey hys for simple frequency and crosstab analyses support stata programming the concepts can be translated into other software.
New book on configural frequency analysis the methodology. Frequency distributions in stata examples using the hsb2 dataset. We chose to do this for the first observation in each group. The purpose of the present study was to compare the results of configural frequency analysis cfa and solutions derived from latent class analysis lca to evaluate concordances and disconcordances regarding their outcomes. In this article, i describe baselinetable, a communitycontributed command for creating one and twoway tables of summary statistics for a list of numeric variables unlike other stata tabulation commands such as tabulate, table, or tabstat, the variables forming the table rows can be a mixture of continuous summarized by mean, standard deviation, etc. Configural frequency analysis cfa is a data analysis method that can detect patterns that occur more or less often than would be expected to occur according to a prespecified null hypothesis. Introduction to stata when you open stata, you will see a screen similar to the following. View of stata when first opened the top row is a menu bar with commands.
Configural frequency analysis will serve as an excellent text for courses on configural frequency analysis, categorical variable analysis, or analysis of contingency tables. The goal of a configural frequency analysis is to detect patterns in the data that occur significantly more or significantly less often than expected by chance. When more individuals than expected display a pattern of characteristics, these individuals belong to a type. This unit demonstrates how to produce many of the frequency distributions and plots from the previous unit, frequency distributions.
Configural frequency analysis cfa and other methods for the analysis of contingency tables. Variablecentered analyses are useful for understanding the differences between people and what characteristics go with what characteristics in a group of individuals. Mark stemmler, professor of psychological assessment at the university of erlangennuremberg, germany, has written a new book, person centered methods. Configural frequency analysis methodology vol 3, no 4. Mar 21, 2019 working with stata the stata starting screen. In statistics, frequency is the number of times an event occurs. I am not a very experienced user of stata, but after some first research into this particular topic, i found that there are ways to do some basic text mining in stata. Cfa is a data analysis method that can detect patterns that occur more or less often than would be expected to.
Configural frequency analysis version 2000 a program for. If you are not familiar with the reliability analysis syntax using stata, it is simple. Configural frequency analysis as a statistical tool for. Configural frequency analysis written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Stata is a complete, integrated statistics package that provides everything you need for data analysis, data management, and graphics. You can paste any text that you want to decipher over this example text. Data analysis with stata 12 tutorial university of texas at. Frequency analysis is an important area of statistics that deals with the number of occurrences frequency and analyzes measures of central tendency, dispersion, percentiles, etc. This guide provides users with an introduction and resources to become familiar with stata. Configural frequency analysis cfa is a procedure for analyzing multivariate crossclassifications that can be used in a wide range of multivariate experimental designs. It tries to detect patterns in the data that occur significantly more or significantly less often than. Data analysis and statistical software for professionals.
The trick here is to put the frequencies once more into a variable but only once within each group. Stata s capabilities include data management, statistical analysis, graphics, simulations, regression, and custom programming. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. We will be looking at a dataset with 200 frequency weighted observations. In addition, parts o f a c f a can be performed using the loglinear and crosstab modules in most general purpose software packages. Using stata for survey data analysis food security portal. Dear hogrefe econtent users, the coronavirus is omnipresent at present and impacting all our lives. Personcentered and variablecentered approaches defined. The large timefrequency analysis tb ltfat is a matlaboctave fourier, timefrequency and wavelet toolbox. However, if you dont have matlab, you can try octave or scilab.
Configural frequency analysis, functional cfa, kieservictor. However, if the variable you are graphing takes on. Frequency analysis is a part of descriptive statistics. Although cfa can be employed in a confirmatory fashion, most applications are exploratory. The use of the software package is described and demonstrated with data examples.
By default, the center of your stata screen is dominated by the results window. We intend for this book to be an introduction to stata. This is particularly true when you consider some of the features unique to mplus. And much more, to support all your data science needs. Most of its users work in research, especially in the fields of economics, sociology, political science, biomedicine, and epidemiology. Person centered methods configural frequency analysis cfa and. Configural frequency analysis configural frequency analysis cfa provides an uptotheminute comprehensive introduction to its techniques, models, and applications. Frequency plots can be made in stata using the hist command with the freq option.
Configural frequency analysis cfa provides an uptotheminute comprehensive introduction to its techniques, models, and applications. Personcentered and variablecentered approaches defined the variable and person nomenclature can be traced to jack block 1971, p. Configural frequency analysis as a method of determining. Full references including those not matched with items on ideas. Types are interpreted as concepts which are constituted by a pattern of variable values. If online access to hogrefe journals via your institutions ip address is for any reason currently not possible, we will be happy to offer alternative access options. Stata is a generalpurpose statistical software package created in 1985 by statacorp. Statas data management features give you complete control.
This is a comprehensive introduction to configural frequency analysis, its rationale, and various modifications. This general description actually goes way beyond what cfa does, becausewhile maintaining the same objectivesit opens the analysis to the more general and robust techniques of exploratory data analysis that have been developed in the 45 years since cfa was invented. Using stata for survey data analysis minot page 5 section 3. The purpose of the present study was to compare the results of configural frequency analysis cfa and solutions derived from latent class analysis lca to evaluate concordances and discon. This paper transforms the tests formula and presents an algorithm suitable for large sets of data. How can i sample from a dataset with frequency weights.
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