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client-participant concerns, 226 229 clinically signi cant change, 232 233 dependent variable considerations, 229 231 effectiveness research, 235 237 methodological concerns, 224 226 multiple baseline design, 234 235 overview, 213, 237 238 small-n design, 233 234 statistical analysis, 231 232 therapist concerns, 229 Outliers: animal learning, 276 clustering and, 173, 174 175 EDA and deleting, 35 resistant methods and, 56 57 ordinal analysis, 638, 639 power analysis and, 67, 74, 75, 76, 78, 79 80 preparatory data analysis and, 117 absence of (in the solution), 138 multivariate, absence of, 130 133 SEM and, 615, 628 univariate, 133 variables/residuals, absence in, 121 124 Pairwise deletion, 90, 91 PAM, 182 PAN, 95, 109 Panel Study of Income Dynamics, 510 PANMARK, 665 Parallel analysis, factor number and, 157, 158 Parallel growth curves, 470 Parameter estimates, 95, 96 collinearity and, 134 dif culty parameter, 396 discrimination parameter, 396 ef cient, 88 EM algorithm and, 93 94 guessing parameter, 396 ICC parameter, 396 LCA and, 666, 667 668, 670 671, 676, 679 mean substitution and, 90 91 multiple imputation and, 95 pairwise deletion and, 90 SEM and, 91, 612 615, 616, 618, 619, 622, 623 624, 626 stimulation, rTMS studies and, 298 survival analysis and, 572 573 unbiased, 88 PARSCALE, 440 Participant matching, 6 7 Path analysis, 622 Path diagrams, 455, 608 Pattern: of correlations, 421 extraction, 34 interpretation, 34 structured, 417 PC Computing, 324 Peabody Personality Inventory, 534 Pearson, Karl, 13 Pearson s correlation coef cient. See Ordinal analysis, Pearson s correlation coef cient Peirce, Charles Sanders, 39 40 Pennsylvania State, 217 Percentage agreement statistics, 401 Percentage bend correlation, 83 Perception of Relationships Test (PORT), 193 Performance measurement, 338

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Example, to exeStuffer encode: stego.exe -r 4 -C covertMedium.bin -c covertMedium2.bin -O stego.exe -o stego1.exe Example, to exeStuffer decode: stego.exe -r 5 -C covertMedium.bin -c covertMedium2.bin -O stego.exe -o stego1.exe This tool is meant as a prototype of a proof-of-concept tool. The .exe and source code are provided so that you can try out techniques and make any modifications that you would like.

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ATTITUDES AND HIGHER-ORDER CONSTRUCTS Attitudes do not, of course, exist in isolation from each other or from other constructs For example, people who favor social assistance payments to the poor may on average possess positive attitudes toward other social welfare programs such as national health care and subsidized housing The positive attitudes toward all of these programs may in turn arise because the person attaches high importance to the social value of helpfulness Such relations among attitudes and values may have implications for stability and change in attitudes In this section, we consider how attitudes are structurally and functionally related to each other and how sets of attitudes may be related to higher-order constructs such as values and ideologies Interattitude Structure Heider s (1958) balance theory is one of the earliest models of relations between attitudes.

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This theory examined a situation in which a person (P) holds a positive or negative attitude toward another person (O), and both people (P and O) hold a positive or negative attitude toward a particular object (X) According to Heider, such P-O-X triads are balanced when P likes O and they hold the same (positive or negative) attitude toward X, or when P dislikes O and they hold different attitudes toward X A state of imbalance occurs when P likes O and they hold different attitudes toward X, or when P dislikes O and they hold the same attitude toward X In other words, balance exists when a person agrees with someone whom he or she likes, or when a person disagrees with someone whom he or she dislikes Heider (1958) predicted that unbalanced states create an unpleasant tension, which causes people to prefer balanced states.

Subsequent research documented that participants report more discomfort with hypothetical unbalanced triads than with hypothetical balanced triads (eg, Jordan, 1953) Individuals can convert unbalanced states to balanced states by using three strategies: Change the attitude toward O or X (attitude change), change the beliefs about O s attitude (belief change), or focus on some aspect of O or X that balances the triad (differentiation) In cases in which attitude.