Faktor-Faktor Yang Mempengaruhi Pengungkapan Tanggung Jawab Sosial

Penelitian ini bertujuan untuk menentukan faktor-faktor yang mempengaruhi luasnya tingkat pengungkapan tanggung jawab sosial Perusahaan (Corporate Social Responsibility) dengan menguji pengaruh ukuran Perusahaan, profitabilitas, leverage, kepemilikan insti­tusional, ukuran dewan komisaris, ukuran dewan direksi, dan ukuran komite audit. Sampel yang digunakan adalah Perusahaan sektor pertambangan terdaftar di Bursa Efek Indonesia selama 2010-2012. Data diperoleh dari laporan keuangan auditan dan laporan tahunan serta laporan keberlanjutan (sustainability report) jika ada. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis regresi linear berganda. Penelitian ini menunjukkan bahwa ukuran Perusahaan dan komite audit memiliki pengaruh positif terhadap peng­ungkapan tanggung jawab sosial. Tidak ditemukan bukti pengaruh profitabilitas, leverage, kepemilikan institusional, ukuran dewan komisaris, dan ukuran dewan direksi terhadap terhadap pengungkapan tanggung jawab sosial

The Last April

<p>Parameter settings of virtual datasets.</p

Parameter settings of the 10 scenarios.

#<p>A, B and C denote pedigrees ascertained by proband, affected cousin pair and at least one affected sib pair, respectively.</p>§<p>In scenarios 1–8, the proportion of pedigree A (“hypothesized” proportion of DSPs) approximately determined the proportion of discordant sib pairs in the simulated data set.</p><p>*In scenario 10, pedigrees were all ascertained by proband. However, 900 of the 1000 pedigrees had the sibships' size of 2, while the other 100 pedigrees had the size of 3.</p

Pairwise conditional analysis for 7 SNPs at 10q23.33 consistently associated with type 2 diabetes risks in additive genetic model.

a<p><i>P</i> value shown in each cell represents the SNP in the row adjusting for age, sex, BMI and the SNP in the corresponding column. For instance, <i>P</i> value of 0.325 for rs4646957 was adjusted for age, sex, BMI and rs1111875.</p

Distributions of select variables between breast cancer cases and cancer-free controls.

a<p>Age at menarche information was available in 1755 breast cancer cases and 1858 controls;</p>b<p>Age at first live birth information was available in 1680 breast cancer cases and 1815 controls; 65 subjects were nulliparous while 99 were with missing information;</p>c<p>Age at natural menopause information was available in 743 breast cancer cases and 809 controls.</p

Combined results for 7 SNPs consistently associated with type 2 diabetes risk in two stages.

a<p>Frequency of minor homozygote/heterozygote/major homozygote.</p>b<p>Adjusting for age, sex and BMI.</p

Combined effects of rs7923837 and rs1111875 on type 2 diabetes risk.

a<p>rs7923837-G and rs1111875-C were assumed as risk alleles.</p>b<p>Adjusted by age, sex and BMI.</p

Variant genotypes of miRNA processing genes and their associations with risk of HNC.

a<p>Adjusted for age, sex, smoking status and alcohol status.</p

Summary results of associations between 14 tagging SNPs at 10q23.33 and risk of type 2 diabetes in two stages.

a<p>Minor allele frequency (MAF) in cases and controls.</p>b<p>Odds ratio (OR) and <i>P</i> value derived from logistic regression with a adjustment for age, sex and BMI assuming a additive genetic model.</p

Measures of power (M1), type I error (M2–M4) and parameter estimate (average OR, empirical standard error and 95%CI) of scenario 9 in which the simulated datasets contain affected cousin pairs.

<p>Measures of power (M1), type I error (M2–M4) and parameter estimate (average OR, empirical standard error and 95%CI) of scenario 9 in which the simulated datasets contain affected cousin pairs.</p