Reading Assignment:

Richard W. Boyd, "Popular Control of Public Policy: A Normal Vote Analysis of the 1968 Election," American Political Science Review, Vol. 65 (June 1972), pp. 429-449.


Objectives

The objectives of this assignment are:

  1. to write an SPSS program to generate data with which to do a normal vote analysis;
  2. to calculate a simple regression equation from which the expected or estimated vote of a group can be calculated;
  3. to construct a graph to display data necessary for normal vote analysis; and
  4. to write about the data used in normal vote analysis.

Assignment

In previous assignments you selected a dependent and an independent variable to explain a relationship. In these assignments, your analysis was based upon the percentage of a selected group who voted for a candidates in the 1988 or 1992 presidential election. In this assignment you will be testing the power of an issue or a candidate orientation to produce a defection from a "normal" vote (i.e., a vote cast on the basis of party identification). What issues or which candidates have the power to effect the out come of an election?

Select an issue or candidate orientation that is present in both election studies. For this assignment, write a brief paper in which you compare a similar issue or a measure of candidate orientation from both the 1988 and 1992 election study in terms of that variables power to encourage voters to defect from their party idenetification. To do this, you will need to calculate a regression equation to predict the expected Democratic vote for president that would occur if the ONLY factor people based thier vote on was party identification.


Methodology

This is the formula to calculate the Expected Democratic:

Vote (EDV). V = .483 + .268 M

where


Computing the expected vote for each group of persons holding a different position on an issue can be accomplished by completing the following steps:

  1. Create a new variable (PID);
  2. RECODE responses to the Survey Research Center measure of party identification (V09) as follows:

  3. Old Code

    New Code
    Party Identification
    1

    2

    Strong Democrats
    2
    3
    1

    Weak Democrats
    Independents Leaning Democratic
    4
    0

    Independents
    5
    6
    -1
    Independents Leaning Republican
    Weak Republican
    7
    -2
    Strong Republican

    Calculating the Mean

    1. From the recoded scores, a mean score is calculated for the distribution of party identifiers within each response category of the issue item.
    2. The mean score (M) is inserted into a regression equation for each response category of the selected issue.
    3. The observed Democratic vote (ODV) is obtained by a crosstabulation of presidential vote (V2) by the selected issue.
    4. Two lines are then plotted on a graph. One line is a prediction calculated by the regression equation and it represents the Expected Democratic Vote (EDV). The second line is obtained from the appropriate percentages taken from the contingency table. This line represents the Observed Democratic Vote (ODV). For the 1992 presidential election, a third line for Perot will also need to be included.
    5. If desired, the Expected Republican Vote (ERV) can be obtained by subtracting the EDV from 100. The Observed Republican Vote (ORV) is obtained from the contingency table.




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