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Newcombe, F., 346 Newman, F. L., 99, 100, 448 Newman, M. G., 15, 457 Newman, R., 442, 445, 448, 449, 451, 452, 453, 458 Nezu, A. M., 109, 457 Nezworski, M. T., 242, 245, 250, 253 Nguyen, L., 329 Nguyen, T. D., 99 Nicholson, R. A., 568 Nickelson, D. W., 453 Nicol, T., 345 Nielsen, S. L., 303, 304, 313, 314 Nielson, D., 445 Nietzel, M. T., 308 Nihira, K., 226 Nolen-Hoeksema, S., 281, 282 Noras, C. A., 328 Norcross, J. C., 6, 14, 16, 17, 19, 20, 57, 62, 66, 67, 69, 71, 143, 145, 147, 250, 266, 268, 269, 275, 277, 280, 304, 307, 309, 310, 311, 363, 377, 383, 391, 436, 441, 442, 448, 453, 458, 477, 478, 479, 482, 483, 484, 485, 486, 490, 495, 496, 569 Nordahl, T., 337 Norton, N. C., 313 Norton-Ford, J. D., 99, 100 Novy, D. M., 349 Nunez, J., 306 Nurnberger, J. I., 266 Nutt, D. J., 153 Nuttall, J., 145 Ober, B. A., 231 O Brien, M., 67, 68, 144, 146, 266, 268 O Brien, R., 99 Ochocka, J., 154 Ochs, E., 438 Ockene, J. K., 326, 328 O Connor, K. J., 467 O Donohue, W. T., 446 Ogles, B. M., 305, 308, 309, 310, 314, 315 Okishi, J. C., 309

TABLE 20.8 Ordered Logit Model Results for the Prediction of Intense Male Violence, Common Couple Violence, and Nonviolence Explanatory Variable Intercept Intercept 1 Intercept 2 Female s age at uniona Cohabiting couple Relationship durationa Substance abuse Minority couple Number of children Male s educationa Female s educationa Income-to-needs ratioa Open disagreementa Communication stylea Male nonassertivenessa Female nonassertivenessa Minority couple income-to-needs ratio Model Chi-Squared Model df Score test Score df Intense male Violence vs. Other Response 3.8144*** .011 .876** .055*** .800*** .246 .094 .062* .065 .007 .052** .410*** .161* .020 .093 245.643*** 14 Violence vs. Nonviolence 2.210*** .006 1.000*** .035*** .766*** .161 .128** .029 .019 .002 .079*** .412*** .035 .115* .091* 480.561*** 14 More vs. Less Violence 3.418*** 2.224*** .006 .946*** .035*** .767*** .150 .107** .030 .022 .004 .077*** .404*** .058 .097* .090* 484.895*** 14 44.866*** 14

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0.0 .5 1.0 Factor 1 Figure 1.7 Rotated vectors of factor loadings follow the coordinate axes more closely.

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Neither patients nor clinicians find it difficult to accept the idea of copy processes. The more difficult question is why copying should be maintained when the person s situations change. For example, why do some personality-disordered people who grew up in dreadful situations self-sabotage when they find themselves in much better ones Why can t people just stop doing maladaptive things, especially when they see they are only doing what they have learned to do in earlier situations Psychoanalysis has chosen to deal with this problem of irrational self-destructiveness when much better choices would be possible by speaking of a death instinct and by considering anger and destructiveness to be primary

that Green et al (1993) who used four different response formats restricted themselves to assessing only Pleasantness and Unpleasantness in most of their studies More generally, it clearly would be quite dif cult to use three or four different rating methods to assess the entire range of content subsumed in multiaffect inventories such as the DES, POMS, MAACL, and PANAS-X Fortunately, one does not necessarily need to use three or four response formats Indeed, we already have seen that the estimated factor intercorrelation is unaffected by the sheer number of indicators used to de ne each construct, assuming that these indicators all show very similar convergentdiscriminant properties To document this important point further, we reanalyzed the correlation matrices reported by Green et al (1993) and Feldman Barrett and Russell (1998), subjecting them to con rmatory factor analyses using EQS.

Toomen, G D, 270 Tormala, Z L, 361, 365, 366, 371, 372 T rnblom, K, 557 T rnblom, K Y, 543, 555 Torres, P, 101 Torrey, E F, 119, 122 Tougas, F, 515 Towles-Schwen, T, 313 Town, J P, 424 Tracey, T J G, 220 Tra mow, D, 301, 315 Trapnell, P, 212 Trapnell, P D, 213 Traupmann, J, 452, 456 Tremblay, R E, 105 Trestman, R, 104 Triandis, H C, 34, 35, 37, 40, 343, 344 Trimble, M R, 95 Triplett, H, 402 Tripodi, T, 410 Tripp, T M, 548 Trivers, R L, 19, 20, 489 Trobst, K K, 212, 215, 221 Trope, Y, 169, 202, 272, 358, 390, 392 Tropp, L R, 491 Trost, M R, 369, 392, 394, 395 Trotter, M.

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