PCOLL

AcronymDefinition
PCOLLPerforation and Collar (oil exploration)
References in periodicals archive ?
The B coefficients of predictors were generally greater for the SUSPD model than for the other two models with the exception of ABSENT, HHSIZE, HGCPRM, PCOLL, SEX, and OPTIM.
Although a single parsimonious model (Table 2) showed that most of the predictors (14 of the 20) were significant factors for DROPOUT only eight variables were significant in all three models: ABSENT, HHSIZE, HGCPRM, BIO, SCHATT, SEX, PCOLL, and OPTIM (Table 3).
TABLE 1 Descriptive Statistics and Correlation Coefficients Pearson Correlation Partial Variable M SD With DROPOUT Correlation DROPOUT 0.24 0.43 -- -- GPA 0.18 0.39 .355 ** -- SUSPD 0.34 0.48 .307 ** -- SES 0.58 0.49 .210 ** -- LATE 3.23 8.10 .116 ** .049 ** ABSENT 5.73 8.77 .220 ** .154 ** TEACHR 0.84 0.36 -.161 ** -.088 ** HHSIZE 4.54 1.63 .094 ** .080 ** HGCPRM 0.58 0.49 .159 ** .113 ** BIO 0.46 0.50 -.233 ** -.134 ** GENDER 0.49 0.50 .075 ** .001 THREAT 0.94 4.98 .026 -.013 FIGHT 0.38 1.82 .184 ** .128 ** BEHAV 2.24 0.93 .162 ** .105 ** SCHATT 2.36 0.99 .195 ** .124 ** PROB1 -0.50 0.52 -.122 ** -.093 ** PROB2 -0.03 0.99 -.125 ** -.095 ** PCOLL -3.47 1.05 -.199 ** -.120 ** MPERM 0.46 0.50 .002 .003 SEX 0.41 0.49 .292 ** .168 ** OPTIM 0.79 0.41 -.194 ** -.161 ** Note.