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B. Descriptive Statistics, Categorical Variable, Recommendation Category Recommendation by physician Recommendation by other health professional No recommendation C. Correlation Matrix INTENT INTENT RISK ANYREC PHYSOTHR BENEFIT WORRY 1.000 .283 .472 .022 .380 .122 RISK .283 1.000 .139 .090 .371 .523 ANYRECa .472 .139 1.000 .218 .281 .072 PHYSOTHRb .022 .090 .218 1.000 .006 .016 BENEFIT .380 .371 .281 .006 1.000 .402 WORRY .122 .523 .072 .016 .402 1.000 Frequency 96 48 96 Proportion .40 .20 .40 Intentions Mean 3.8949 4.1025 3.0845

27 28

Figure 5-3

You can let site visitors upload files to your server, such as images or resumes, using the file value of the type attribute. This is actually a bit trickier than the other types of the INPUT element because you must be sure to include the enctype

fclose(BMPin); }

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Personality psychology: (Continued) case studies and life histories in, 177 179 context and complexity in, 195 196 culture of personality, 179 180 exploration project, 187 189 individualized assessment ventures, 191 intuitive method, 186 mental hygiene movement, 182 183 motives driving psychologists to study individuals, 193 195 multidisciplinary study of personality (1900 1930), 179 185 personological concepts, 187 189, 190 191 professional concerns, 184 185 psychiatry and psychopathology, 180 181 publication trends, 190 questioning of science, 194 195 reconceptualizing goals of, 194 roots of: American psychology, social ethics, and German psychology, 185 186 medicine/literature/ depth psychology, 187 scienti c case studies, 186 187 scienti c ethos, 183 social context (importance of), 195 sociology and social work, 181 182 study of individual lives and individual differences, 179 196 Personology, 187 189, 190 191 Phenomena/noumena, 117 Philosophy, 1 2, 269 270 Phi phenomenon, 105 Phrenology, 49, 317 Physiological behaviorism, 123 124 Physiology and perception, 93 99 Picture-story methods, 287 Pitch detection (biological psychology), 52 53 Pneuma, doctrine of, 307 Popular psychology, 34 Precocity, 211 Prescriptive authority (RxP-) agenda, 41 42 Preventive focus: community psychology, 440 443 ethnic minorities, 489 Primary mental abilities, theory of, 141 142 Profession. See Psychology as profession Professional organizations: accreditation and credentialing, 548 549 Africa, 540 applied psychology, 344, 536, 538, 544 545 Asia, 539 Australia, 540 British, 262, 540 Canada, 540 Europe, 538 539 forensic psychology, 398 interdisciplinary, 549 550 international, 535 538 national, 538 550 Near and Middle East, 539 New Zealand, 540 North America, 540 544 public interest, 545 548 regional, 537 538

The M part of LAMP hasn t been touched on yet. The preceding PHP script shows the basics of how to receive sensor data, but the script doesn t do anything with the data besides printing it. With PHP and MySQL it s pretty easy to record the sensor data to a database table. With enough sensor data you can do an analysis on it to figure out things like: When is the house the dirtiest Compare historical dirt sensor readings with time and date. Approximately how big or cluttered is the living room Average out time between bump sensors to determine the mean free path of your rooms. How long are my walls Analyze the wall sensor readings to find walls; then create a histogram to find the different wall sizes. How long does it take for the dustbin to fill up Average the time from when the Roomba starts to when the vacuum motor over-current bit is set. Collect enough data, and you can determine a great many things about the environment within which Roomba moves. Roomba may not be a very accurate sensor platform, but its sensors cover the same area again and again. Good data can often be recovered from noise with repeated measurements.

Apply tensile displacements until a tare load of 0.02 N is attained. Take this position to be the zero state. From there, elongate the sample to 10% and then 20% amplitude, at a strain rate of 0.2%/second. After each extension, allow stress-relaxation to occur until equilibrium is reached (typically 10 min for a 1-mm-thick sample of engineered cartilage tissue). Record the equilibrium loads. Then apply tensile displacement at a constant extension rate of 2%/s, recording the load data every 0.1 s, until the sample breaks. Fit the equilibrium load-displacement data to determine the tensile modulus, Et , and the dynamic load-displacement data to determine the ramp stiffness and strength (maximum stress) [Williamson et al., 2003].

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