itextsharp remove text from pdf c#

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itextsharp remove text from pdf c#

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(<12, 12 15, 16+), although as a group they were a highly educated sample (mean years of education = 13.3). Heaton et al. computed an age education gradient for each WAIS subtest by subtracting the amount of variance accounted for by education from the amount accounted for by age; positive values denote the more age-related subtests, while negative values indicate the tasks more heavily dependent on education. Kaufman (1990) computed this gradient for WAIS-R subtests, using data yielded by Kaufman et al. s (1989, Table 2) multiple regression analysis. And Heaton et al. (2001) conducted a series of interesting analyses with the WAIS-III at ages 20 89 years, using data from both the standardization sample (n = 2,028 of the 2,050 cases at ages 20 89) and an education oversample (n = 222) for a total N = of 2,250, which permitted the computation of age education gradients. Heaton et al. (2001, Tables 3 & 4) correlated education to age-corrected WAIS-III z scores and also correlated chronological age to education-corrected WAIS-III z scores, thereby providing the pertinent percentages of variance needed to compute age education gradients. KEY FINDINGS. Heaton et al. s initial study of age education gradients for WAIS subtests showed Picture Arrangement, followed closely by Digit Symbol and Object Assembly (each with values in the +5 to +10 range), as the most agerelated WAIS tasks; in contrast, Vocabulary and

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then Information (with values close to 40) were the most education-related Table 57 presents the age education gradients for WAIS, WAIS-R, and WAIS-III subtests; the 11 subtests that are included in all three Wechsler adult scales have ranks in parentheses next to their gradients where one equals the most age-dependent subtest and 11 equals the most education-dependent Kendall s W (coefficient of concordance) was computed to determine the consistency in the ranks from one adult scale to another A near-perfect W = 976 was obtained, with an average pairwise rankorder correlation = 964 (p < 01) These coefficients denote striking consistency in the subtests age education gradients over time and despite substantial item revisions from scale to scale Of the three new WAIS-III subtests, Symbol Search is virtually tied with Digit Symbol as the most age-dependent task in the battery.

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c# remove text from pdf

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LetterNumber Sequencing and Matrix Reasoning are exactly in the middle of the pack, with each having nearly equal percentages of variance due to age versus education Perusal of Table 57, which is ordered by the WAIS-III age education gradients, reveals that the first seven subtests listed (the most age dependent) are on the Performance Scale, followed by the seven Verbal subtests Indeed, the subtests also align by Index The two PS subtests are at the top of the list, followed by the five subtests that are either included on the PO or have been shown by factor analysis to load on PO factors Next are the three WM subtests followed by the four subtests that have consistently loaded on VC factors Based on Heaton et al.

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s (2001, Tables 3 and 4) data, the following age education gradients emerge for the Indexes, again with the most agedependent listed first: PSI (+22), POI (+7), WMI ( 10), VCI ( 34) For the IQs, the order is: P-IQ (+13), FS-IQ ( 21), V-IQ ( 34) Kaufman s (2000a, 2001) Equating Studies of the WAIS-III Kaufman analyzed data from the WAIS-III standardization sample of 2,450 individuals at ages 16 to 89 years, focusing on the four Indexes and.

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itextsharp remove text from pdf c#

itextsharp remove text from pdf c#

c# remove text from pdf

itextsharp remove text from pdf c#

itextsharp remove text from pdf c#

itextsharp remove text from pdf c#

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

itextsharp remove text from pdf c#