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Цель исследования: изучить влияние персональных психологических характеристик политиков на деятельность в международной политики.
Задачи исследования:
рассмотреть понятие, характерные черты и функции политической элиты;
определить особенности политической элиты в России;
показать формирование новой политической элиты России;
проанализировать внешнеполитические установки российской элиты;
Введение .................................................................................................................. 3
Теоретические основы понятия российской политической элиты.................... 5
1.1 Понятие, характерные черты и функции политической элиты.................... 5
1.2 Особенности политической элиты в России................................................ 11
2.Исследование влияния персональных психологических характеристик на
деятельность в международной политики ......................................................... 17
2.1 Формирование новой политической элиты России .................................... 17
2.2Внешнеполитические установки российской элиты.................................... 19
2.3. Внешнеполитические установки и психологические черты
представителей элит............................................................................................. 21
Заключение............................................................................................................ 27
Список литературы.........
signif. codes - ”***”=.005, ”**”=.01, ”*”=.05
Таблица 2
Регрессионная модель связи роли военной силы в международных отношениях с индивидуально-психологическими особенностями
Base2 |
Best2 | |||
(Intercept) |
5.622* |
6.090** | ||
(2.647) |
(2.196) | |||
Inequality |
0.030 |
|||
(0.173) |
||||
Self Esteem |
0.165 |
|||
(0.345) |
||||
Need For Order |
0.218 |
0.290* | ||
(0.157) |
(0.145) | |||
Base2 |
Best2 | |||
Punitivness |
0.325 |
0.285 | ||
(0.168) |
(0.153) | |||
Mental Rigidness |
-0.230 |
-0.350* | ||
(0.156) |
(0.144) | |||
Trust |
-0.740* |
-0.673* | ||
(0.367) |
(0.343) | |||
Happiness |
0.177 (0.333) |
|||
Gender |
-0.060 (0.476) |
|||
Group: Science/Education/Media |
-0.379 (0.702) |
|||
Group: Business/Media |
-0.596 (0.674) |
|||
Group: State-owned Enterprises/Media |
-0.339 (0.738) |
|||
Group: Executive/Media |
-1.002 (0.661) |
|||
Group: Legislative/Media |
0.031 (0.764) |
|||
Group: Military/Media |
-1.821* (0.838) |
|||
CPSU |
-0.797 |
-0.973 | ||
(0.567) |
(0.503) | |||
Age |
-0.056* |
-0.054* | ||
(0.022) |
(0.021) | |||
Edu: Admin/Military/High-Tech |
-1.015* |
-1.580*** | ||
(0.510) |
(0.416) | |||
Edu: Human/High-Tech |
-0.222 |
-0.142 | ||
(0.459) |
(0.386) | |||
Edu: Other/High-Tech |
15.869 |
15.652 | ||
(1071.797) |
(1091.824) | |||
EthInd |
-0.021*** |
-0.019** | ||
(0.007) |
(0.007) | |||
Conservative Parenting |
2.594*** |
2.409*** | ||
(0.648) |
(0.618) | |||
Aldrich-Nelson R-sq. |
0.257 |
0.234 | ||
McFadden R-sq. |
0.263 |
0.233 | ||
Cox-Snell R-sq. |
0.293 |
0.263 | ||
Nagelkerke R-sq. |
0.400 |
0.360 | ||
phi |
1.000 |
1.000 | ||
Likelihood-ratio |
83.110 |
73.393 | ||
p |
0.000 |
0.000 | ||
Log-likelihood |
-116.163 |
-121.021 | ||
Deviance |
232.326 |
242.043 | ||
AIC |
276.326 |
266.043 | ||
Base2 |
Best2 | |||
BIC |
352.900 |
307.811 | ||
N |
240 |
240 | ||
signif. codes - ”***”=.005, ”**”=.01, ”*”=.05
Таблица 3
Регрессионная модель связи отношения к США с индивидуально-психологическими особенностями
Base3 |
Best3 | |
(Intercept) |
4.695* |
-0.030 |
(2.322) |
(0.488) | |
Inequality |
0.198 (0.149) |
|
Self Esteem |
-0.321 (0.308) |
|
Need For Order |
-0.151 (0.137) |
|
Punitivness |
-0.183 (0.149) |
|
Mental Rigidness |
0.274* |
0.316** |
(0.139) |
(0.118) | |
Trust |
0.036 (0.313) |
|
Happiness |
-0.466 (0.300) |
|
Gender |
0.317 (0.407) |
|
Group: Science/Education/Media |
-0.493 (0.596) |
|
Group: Business/Media |
-0.627 (0.558) |
|
Group: State-owned Enterprises/Media |
-1.026 (0.619) |
|
Group: Executive/Media |
-0.124 (0.562) |
|
Group: Legislative/Media |
-0.947 (0.658) |
|
Group: Military/Media |
-0.249 (0.716) |
|
CPSU |
-0.693 (0.497) |
|
Age |
-0.021 (0.020) |
|
Edu: Admin/Military/High-Tech |
-0.128 (0.477) |
МосквА, июль 2013
Российская элита - 2020
Base3 |
Best3 | |
Edu: Human/High-Tech |
-0.451 (0.403) |
|
Edu: Other/High-Tech |
1.040 (1.083) |
|
EthInd |
-0.027*** |
-0.023*** |
(0.007) |
(0.006) | |
Conservative Parenting |
-1.647*** |
-1.507*** |
(0.550) |
(0.497) | |
Aldrich-Nelson R-sq. |
0.166 |
0.122 |
McFadden R-sq. |
0.144 |
0.101 |
Cox-Snell R-sq. |
0.180 |
0.130 |
Nagelkerke R-sq. |
0.241 |
0.173 |
phi |
1.000 |
1.000 |
Likelihood-ratio |
47.730 |
33.422 |
P |
0.001 |
0.000 |
Log-likelihood |
-142.282 |
-149.436 |
Deviance |
284.564 |
298.872 |
AIC |
328.564 |
306.872 |
BIC |
405.138 |
320.795 |
N |
240 |
240 |
signif. codes - ”***”=.005, ”**”=.01, ”*”=.05
Таблица 4
Регрессионная модель связи отношения к военной операции в Ливии с индивидуально-психологическими особенностями
Base4 |
Best4 | |
(Intercept) |
-5.154 |
-5.018*** |
(2.835) |
(1.367) | |
Inequality |
0.069 (0.200) |
|
Self Esteem |
0.557 |
0.484 |
(0.382) |
(0.326) | |
Need For Order |
0.415* |
0.410* |
(0.194) |
(0.183) | |
Punitivness |
0.089 (0.185) |
|
Mental Rigidness |
-0.338* |
-0.330* |
(0.159) |
(0.137) |
Base4 |
Best4 | |
Trust |
0.503 |
0.539 |
(0.390) |
(0.378) | |
Happiness |
0.570 |
0.505 |
(0.358) |
(0.323) | |
Gender |
-0.321 (0.491) |
|
Group: Science/Education/Media |
0.468 (0.700) |
|
Group: Business/Media |
1.134 (0.686) |
|
Group: State-owned Enterprises/Media |
0.395 (0.767) |
|
Group: Executive/Media |
0.082 (0.722) |
|
Group: Legislative/Media |
0.341 (0.787) |
|
Group: Military/Media |
0.494 (0.926) |
|
CPSU |
-0.085 (0.620) |
|
Age |
-0.013 (0.023) |
|
Edu: Admin/Military/High-Tech |
-0.233 |
-0.258 |
(0.595) |
(0.478) | |
Edu: Human/High-Tech |
-0.553 |
-0.660 |
(0.444) |
(0.392) | |
Edu: Other/High-Tech |
-16.663 |
-16.122 |
(1121.125) |
(1170.926) | |
EthInd |
0.019* |
0.017* |
(0.008) |
(0.007) | |
Conservative Parenting |
2.054*** |
1.917*** |
(0.684) |
(0.654) | |
Aldrich-Nelson R-sq. |
0.164 |
0.150 |
McFadden R-sq. |
0.184 |
0.165 |
Cox-Snell R-sq. |
0.178 |
0.162 |
Nagelkerke R-sq. |
0.272 |
0.246 |
phi |
1.000 |
1.000 |
Likelihood-ratio |
47.159 |
42.312 |
p |
0.001 |
0.000 |
Log-likelihood |
-104.380 |
-106.803 |
Deviance |
208.759 |
213.606 |
AIC |
252.759 |
235.606 |
BIC |
329.333 |
273.893 |
N |
240 |
240 |
signif. codes - ”***”=.005, ”**”=.01, ”*”=.05
Таблица 5
Регрессионная модель связи отношения к военной операции в Сирии с индивидуально-психологическими особенностями
Base5 |
Best5 | |
(Intercept) |
-5.169 |
-4.853*** |
(2.696) |
(1.257) | |
Inequality |
-0.192 (0.188) |
|
Self-Esteem |
0.637 |
0.488 |
(0.363) |
(0.306) | |
Need For Order |
0.540*** |
0.442** |
(0.190) |
(0.169) | |
Punitivness |
CM 7m CM 00 0 0 |
|
Mental Rigidness |
-0.344* |
-0.241 |
(0.159) |
(0.129) | |
Trust |
0.726 |
0.653 |
(0.376) |
(0.351) | |
Happiness |
0.420 |
0.438 |
(0.340) |
(0.307) | |
Gender |
0.058 (0.466) |
|
Group: Science/Education/Media |
0.187 (0.657) |
|
Group: Business/Media |
1.166 (0.643) |
|
Group: State-owned Enterprises/Media |
-0.179 (0.741) |
|
Group: Executive/Media |
0.226 (0.670) |
|
Group: Legislative/Media |
0.210 (0.747) |
|
Group: Military/Media |
0.575 (0.877) |
|
CPSU |
-0.470 (0.580) |
|
Age |
0.006 (0.022) |
|
Edu: Human/High-Tech |
-0.268 (0.434) |
|
Edu: Other/High-Tech |
-16.665 (1131.740) |
|
EthInd |
0.012 (0.008) |
|
Conservative Parenting |
1.659** |
1.577** |
(0.632) |
(0.573) | |
Aldrich-Nelson R-sq. |
0.141 |
0.099 |
McFadden R-sq. |
0.149 |
0.101 |
Приложение 2
Base5 |
Best5 | |
Cox-Snell R-sq. |
0.151 |
0.104 |
Nagelkerke R-sq. |
0.227 |
0.157 |
phi |
1.000 |
1.000 |
Likelihood-ratio |
39.249 |
26.460 |
p |
0.009 |
0.000 |
Log-likelihood |
-111.939 |
-118.333 |
Deviance |
223.878 |
236.667 |
AIC |
267.878 |
250.667 |
BIC |
344.452 |
275.031 |
N |
240 |
240 |
signif. codes - ”***”=.005, ”**”=.01, ”*”=.05