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Starting Excel . . . . . . . . . . . . . . Excel s File Extensions . . . . . . . . . Spreadsheet File Formats Supported Lotus 1-2-3 spreadsheet files . . Quattro Pro spreadsheet files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 63 64 64 65

NodeFactory NodeFactory is the name of a Java class in the framework A NodeFactory is responsible for creating objects that support the Node interface Once we have created a NodeFactory object, it can choose one of two mechanisms for determining the class names to use when creating Node instances The NodeFactory object can lookup a system property or it can use a hard-coded default class name It is necessary to have two mechanisms because some environments (eg, Applets) cannot read system properties without special security policy changes When a NodeFactory object is created, it defaults to using the hard-coded value If the NodeFactory instance is created with the doLookupProperty parameter set to true, then it will use the system property approach.

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I need answers to my medical problems and everyone around here wants me to talk about my feelings I can t believe I even agreed to be admitted here What a mistake There is no way I d do this again Psychologist: You sound pretty angry Fran Perhaps we could talk about that in the group today Fran: See what I mean Talk, talk, talk I don t know I m angry for sure but I don t think talking will help much Psychologist: I hope that you ll try, Fran While talking may not cure any of the medical problems that you experience, perhaps it will help you to feel better Now that we ve heard from everyone, let s try to work through the issues that were brought up in the group today.

items; eg, ashamed, dissatis ed with self ), and Hostility (six items; eg, angry, scornful) In addition, three scales assess positively valenced states that are strongly linked to the higher order Positive Affect factor: Joviality (eight items; eg, happy, enthusiastic), Self-Assurance (six items; eg, con dent, bold), and Attentiveness (four items; eg, alert, concentrating) Finally, four scales are less strongly and consistently related to the higher order dimensions: Shyness (four items; eg, bashful, timid), Fatigue (four items; eg, sleepy, sluggish), Serenity (three items; eg, calm, relaxed), and Surprise (three items; eg, amazed, astonished) Watson and Clark (1994, 1997) report extensive reliability data on these scales.

For instance, Watson and Clark (1997, Table 7) present median internal consistency estimates across 11 samples (nine of students, one of adults, and one of psychiatric patients), with a combined sample size of 8,194; these data re ect eight different time frames All of the longer (ie, ve- to eight-item) PANAS-X scales were highly reliable, with median coef cient alphas of 93 (Joviality), 88 (Guilt), 87 (Fear), 87 (Sadness), 85 (Hostility), and 83 (Self-Assurance) As would be expected, the reliabilities of the shorter scales tended to be lower, but still were quite good: 88 (Fatigue), 83 (Shyness), 78 (Attentiveness), 77 (Surprise), and 76 (Serenity) We shall examine these lower order scales in greater detail in subsequent sections, considering various types of evidence (eg, discriminant validity, temporal stability, and self-other agreement) related to their construct validity.

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