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Multiple regression. An example. Theory. Optimism causes political participation. General optimism Specific optimism. Dependent variable. polpartbes _ | count | Freq. Percent Cum. ------------+-----------------------------------

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Presentation Transcript
theory
Theory
  • Optimism causes political participation.
    • General optimism
    • Specific optimism
dependent variable
Dependent variable
  • polpartbes_ |
  • count | Freq. Percent Cum.
  • ------------+-----------------------------------
  • 0 | 527 55.89 55.89
  • 1 | 142 15.06 70.94
  • 2 | 84 8.91 79.85
  • 3 | 27 2.86 82.71
  • 4 | 41 4.35 87.06
  • 5 | 18 1.91 88.97
  • 6 | 19 2.01 90.99
  • 7 | 7 0.74 91.73
  • 8 | 8 0.85 92.58
  • 9 | 6 0.64 93.21
  • 10 | 6 0.64 93.85
  • 11 | 10 1.06 94.91
  • 12 | 1 0.11 95.02
  • 13 | 2 0.21 95.23
  • 14 | 17 1.80 97.03
  • 15 | 2 0.21 97.24
  • 16 | 1 0.11 97.35
  • 17 | 6 0.64 97.99
  • 18 | 2 0.21 98.20
  • 19 | 1 0.11 98.30
  • 20 | 3 0.32 98.62
  • 21 | 1 0.11 98.73
  • 22 | 1 0.11 98.83
  • 26 | 2 0.21 99.05
  • 28 | 2 0.21 99.26
  • 29 | 2 0.21 99.47
  • 30 | 4 0.42 99.89
  • 31 | 1 0.11 100.00
  • ------------+-----------------------------------
  • Total | 943 100.00
general optimism
General optimism
  • How optimistic do you |
  • feel about your |
  • future | Freq. Percent Cum.
  • ----------------------+-----------------------------------
  • Very bad | 99 10.06 10.06
  • Not at all optimistic | 447 45.43 55.49
  • Rather optimistic | 353 35.87 91.36
  • Very optimistic | 85 8.64 100.00
  • ----------------------+-----------------------------------
  • Total | 984 100.00
specific optimism
Specific optimism
  • How possible is it |
  • to solve these |
  • problems | Freq. Percent Cum.
  • --------------------+-----------------------------------
  • Not at all possible | 116 12.05 12.05
  • Not very possible | 287 29.80 41.85
  • Rather possible | 313 32.50 74.35
  • Very possible | 247 25.65 100.00
  • --------------------+-----------------------------------
  • Total | 963 100.00
bivariate regression between general optimism and political participation
Bivariate regression between general optimism and political participation
  • . regr polpartbes_count2 optimism , beta
  • Source | SS df MS Number of obs = 5280
  • -------------+------------------------------ F( 1, 5278) = 25.58
  • Model | 568.196398 1 568.196398 Prob > F = 0.0000
  • Residual | 117216.879 5278 22.2085788 R-squared = 0.0048
  • -------------+------------------------------ Adj R-squared = 0.0046
  • Total | 117785.075 5279 22.3120051 Root MSE = 4.7126
  • ------------------------------------------------------------------------------
  • polpartbes~2 | Coef. Std. Err. t P>|t| Beta
  • -------------+----------------------------------------------------------------
  • optimism | 1.4144667 .0819409 17.16 0.000 .2694551
  • _cons | 3.507485 .2117688 16.56 0.000 .
  • ------------------------------------------------------------------------------
bivariate regression between specific optimism and political participation
Bivariate regression between specific optimism and political participation
  • . regr polpartbes_count2 solvposs, beta
  • Source | SS df MS Number of obs = 5235
  • -------------+------------------------------ F( 1, 5233) = 339.62
  • Model | 7132.98496 1 7132.98496 Prob > F = 0.0000
  • Residual | 109907.205 5233 21.0027146 R-squared = 0.0609
  • -------------+------------------------------ Adj R-squared = 0.0608
  • Total | 117040.19 5234 22.361519 Root MSE = 4.5829
  • ------------------------------------------------------------------------------
  • polpartbes~2 | Coef. Std. Err. t P>|t| Beta
  • -------------+----------------------------------------------------------------
  • solvposs | 1.163427 .0631308 18.43 0.000 .2468699
  • _cons | -.6314329 .1808864 -3.49 0.000 .
  • ------------------------------------------------------------------------------
multiple regression between specific and general optimism and political participation
Multiple regression between specific, and general optimism and political participation
  • . regr polpartbes_count2 optimism solvposs, beta
  • Source | SS df MS Number of obs = 5181
  • -------------+------------------------------ F( 2, 5178) = 168.87
  • Model | 7080.2865 2 3540.14325 Prob > F = 0.0000
  • Residual | 108552.809 5178 20.964235 R-squared = 0.0612
  • -------------+------------------------------ Adj R-squared = 0.0609
  • Total | 115633.095 5180 22.3229914 Root MSE = 4.5787
  • ------------------------------------------------------------------------------
  • polpartbes~2 | Coef. Std. Err. t P>|t| Beta
  • -------------+----------------------------------------------------------------
  • optimism | .0938466 .0812321 1.39 0.217 .0325392
  • solvposs | 1.131708 .0642399 17.62 0.000 .2402178
  • _cons | -.0662439 .2908591 -0.23 0.820 .
  • ------------------------------------------------------------------------------
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