Use of Stepwise Methodology in Discriminant Analysis
Stepwise Methodology in Discriminant Analysis
Predictive Discriminant Analysis
The major purpose of discriminant analysis is to predict membershipin two or more mutually exclusive groups from a set of predictors, whenthere is no natural ordering on the groups. So we may ask whether we canpredict whether people vote Labour or Conservative from a knowledge oftheir age, their class, attitudes, values etc etc.
In medical education, there also continues to be great interest in professionalism in medical students, particularly in the assessment issues. However, not much progress has been made in teaching and evaluating professionalism in medical schools as documented by a repeat survey in 2002 of medical schools when compared to results from a 1997 survey. A comprehensive review of the state of professionalism assessment also underscored the need for continued efforts to expand and validate existing measures.
Discriminant analysis requires estimates of:
The goal of this study is to develop an objective assessment utilizing Epistemic NetworkAnalysis (ENA) that allows the team to measure the relationships among communication elementsduring trauma initial assessment scenarios. The hypothesis is that ENA will be able to significantlydiscriminate between the communication events of trauma teams that have high and low globalteamwork scores in simulated trauma care. This will allow for evaluation of the communicativeinteractions that are important for improving trauma teamwork, which will then provide concretetargets for educational interventions and permit meaningful comparison across trauma teams.
The commonest use of discriminant analysis is where there are just twocategories in the dependent variable; but as we have seen, it can be usedfor multiway categories (just as MANOVA can be used to test the significanceof differences between several groups, not just two). This is an advantageover logistic regression, which is always described for the problem ofa dichotomous dependent variable.
Klecka, W. R. (1980). Discriminant analysis. Beverly Hills, CA: Sage.
(α): the probability of a Type I (. In hypothesis testing, the αlevel is the threshold for defining statistical significance. For instance, setting α at a level of 0.05 implies that investigators accept that there is a 5% chance of concluding incorrectly that an intervention is effective when it has no true effect. The αlevel is commonly set at 0.01 or 0.05 or 0.10.
: a branch of statistics that involves learning from evidence as it accumulates. It is based on Bayes’ Rule (or Bayes’ Theorem), a mathematical equation that expresses how the prior (initial) probability of an event (or the probability that a hypothesis is true or the distribution for an unknown quantity) changes to a posterior (updated) probability given relevant new evidence. For example, in the diagnosis of a condition in an individual patient, a prior probability of a diagnosis may be based on the known prevalence of that condition in a relevant population. This can be updated to a posterior probability based on whether the result of a diagnostic test for that condition in that patient is positive or negative.
Step 2: Use one ”half” to obtain the discriminant function.

Convergent & Discriminant Validity  Social Research …
Discriminant Analysis

Discriminant validity  Wikipedia
We can also use SPSS to carry out discriminant analysis. For the examplejust considered, the commands would be:

Discriminant Validity  SAGE Research Methods
Linear Discriminant Function:
Discriminant Validity  RESEARCH METHODOLOGY
When an umknown specimen is classified according to any decision rule, there is always a possibility that the item is wrongly classified. This must not be taken as error! This is part of the inherent uncertainty in any statistical procedure. One procedure to measure how good the discriminant rule is, we classify the training data according to the developed discrimination rule. Since we know which unit comes from which population among the training data, this will give us some idea of the validity of the discrimination procedure.
Posts about Discriminant Validity written by Hisham Md Basir
Method 1. The confusion table describes how the discriminant function will classify each observation in the data set. In general, the confusion table takes the form:
Discriminant Analysis  SPSS Annotated Output  IDRE …
29. Jafari H, Lahsaeizadeh S, Jafari P. . Quality of life in thalassemia major: reliability and validity of the Persian version of the SF36 questionnaire. 2008;54:273275
Discriminant Analysis  SPSS Annotated Output
Deductive Method
A method of study that begins with a theory and the generation of a hypothesis that can be tested through the collection of data, and ultimately lead to the confirmation (or lack thereof) of the original theory.
This page shows an example of a discriminant analysis in SPSS with ..
Moore, J. D. (1996, January). Stepwise methods are as bad in discriminant analysis as they are anywhere else. Paper presented at the annual meeting of the Southwest Educational Research Association, New Orleans, LA.
the only thing unchanged is Change : Discriminant validity
The goal of this project is to demonstrate and provide validity evidence for an innovative standardized patient (SP) method of assessing medical students in the clinical years on their ability to detect and respond to individual contextual factors in a patient encounter that overcomes the aforementioned challenges. As such, the project is designed to directly address the Stemmler Fund goal of research and development of innovative assessment approaches to enhance the evaluation of those preparing to practice medicine.