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Koefisien Kontingensi C ( The Cramer Coefficient C)

Koefisien Kontingensi C ( The Cramer Coefficient C). Kelompok 11 Anggota : Amel Tangdilambi (11.6534) Rizka Novalina (11.6875) Tiya Mitasari (11.6930). Esensi. Koefisien Kontingensi C adalah suatu ukuran kadar asosiasi atau relasi antara dua kelompok data

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Koefisien Kontingensi C ( The Cramer Coefficient C)

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  1. KoefisienKontingensi C ( The Cramer Coefficient C) Kelompok 11 Anggota : AmelTangdilambi (11.6534) RizkaNovalina (11.6875) TiyaMitasari (11.6930)

  2. Esensi • KoefisienKontingensi C adalahsuatuukurankadarasosiasiataurelasiantaraduakelompok data • Bergunakhususnyauntuk data yang hanyamempunyaiinformasikategori (skala nominal) • Kita dapatmenghitungkoefisienkontingensinyadarisuatutabel 2x2, 2x5, 4x4, 3x7 atausembarangtabel k x r • Semakinbesarperbedaanantaraharga-harga yang diharapkandenganhargasel yang diobservasi, makasemakinbesar pula tingkatasosiasiantarakeduavariabelitudandengandemikiansemakintinggiharga C.

  3. Kelebihandankekurangan • Kelebihan penghitungannyarelatifmudah, sehinggadapatdigunakanjikaukurankorelasi-korelasi yang lain tidakdapatditerapkan • Kekurangan • Koefisieninitidakdapatmecapainilai 1 ketikakorelasisempurna • Duakoefisienkontingensitidakdapatdibandingkanjikakeduanyatidakdihasilkandaritabel-tabelkontingensi yang berukuransama. • Tidakdapatsecaralangsungdibandingkandenganukurankorelasi lain manapun, misalnya r-Pearson, rs-spearman, atau r-kendall.

  4. Prosedur • Susunfrekuensi-frekuensiobservasidalamsuatutabelkontingensi k x r Tabel 1. Bentuktabelkontingensi, untukmenghitung C

  5. Prosedur (lanjutan) • Hitungnilaifrekuensi yang diharapkanuntuktiap-tiapsel Jikaadasembarangsel yang mempunyaifrekuensiharapan < 1 ataujika >20% diantarasel-selitumempunyaifrekuensiharapan < 5, makagabungkankategori-kategoriuntukmeningkatkanfrekuensi-frekuensi yang diharapkan yang tidakmemadai.

  6. Prosedur (lanjutan) • Hitunglahnilaiuntuk data tersebutdengancara yang disajikanterdahulu, yaitu : • Dengannilaiini, kemudianhitungnilai C :

  7. Prosedur (lanjutan) • Untukmengujiapakahnilaiobservasi C memberikanpetunjukterdapatkorelasiantarakeduavariabeldidalampopulasi yang diambilsampelnya, makatentukankemungkinan yang berkaitandengannilai yang diobservasidimana db = (k-1)(r-1) denganmenggunakantabel C. Jikakemungkinantersebutsamadenganataukurangdariαmaka Ho ditolak

  8. ContohSoal Penelitiinginmengujiapakahkurikulum-kurikulumsekolahatas yang dipiliholehpemudadisuatukotadependenterhadapkelassosialpemuda-pemudaitu. Tabelfrekuensipendaftaranpemudadisuatukotadari 4 kelassosialdalam 3 kemungkinankurikulumSekolahMenengahAtas:

  9. Penyelesaian: • Hipotesis:Ho = tidakterdapatkorelasiantarakurikulumdankelassosialH1 = terdapatkorelasiantarakurikulumdankelassosial • Tingkat signifikansi: α = 5% • Statistikuji: UjiKoefisienKontingensi CTabelnilaiEij

  10. (20 – 8,357)2 (41 – 30,214)2 (33 – 9,344)2 = +  + …………. +  8,357 30,2149,344 = 46,3359

  11. 4. daerahpenolakan: ho ditolakjika hit > tabel. dimanatabel = 12,59 dengandf=(3-1)(4-1)5. keputusan: karena hit = 46,3559> tabel = 12,59 maka ho ditolak6. kesimpulan: dengantingkatkepercayaan 95% dapatdisimpulkanbahwaterdapatkorelasiantarakurikulumdankelassosialdimana c=0,3251 secarasignifikanberbedadengan nol.

  12. Contohsoal 2 As a part of study concerning the process by which financial accounting standards are modified, Hussein developed a survey questionnaire which was to be sent to members of the Financial Accounting Standards Board (FASB) advisory council and to members of various committees which specialize in financial accounting standards in FASB’s sponsoring organizations. The FASB is the organization by which changes in accounting standards and procedures must be approved. The survey, the details of which are not relevant to this example, was designed to assess the informational, economic, organizational, and cognitive factors involved in the process of setting the standards. In survey research, it is rare for the response rate to mailed surveys to be large. However, in order for a survey of a various groups to be meaningful, the response rate from the various organizations should be similar. If it is not, then the responses (or nonresponses) from one group may yield a biased view of the overall process. to determine whether the initial response rate was associated with organization, i.e., varied between the various sponsoring organizations, data concerning response rate were analyzed. There were six organizations or groups receiving questionnaires ( k=6), and there were three possible dispositions for each questionnaire : received and completed, declined, and no response (r=3).

  13. Hipotesis:Ho = tidakterdapatkorelasiantaraOganisasikeuangandenganresponterhadapperubahanstandarkeuanganH1 = terdapatkorelasiantaraOganisasikeuangandenganresponterhadapperubahanstandarkeuangan • Tingkat signifikansi: α = 5% • Statistikuji: UjiKoefisienKontingensi C

  14. TabelnilaiEij = 75,25

  15. Daerah penolakan: Ho ditolakjika hit > tabel. Dimanatabel = 18,31 dengandf=(3-1)(6-1)=10 • Keputusan: Karena hit =75,25 > tabel =18,31 maka Ho ditolak • Kesimpulan: Dengantingkatkepercayaan 95% dapatdisimpulkanbahwaterdapatkorelasiantaraOganisasikeuangandenganresponterhadapperubahanstandarkeuangandimana C=0,5858 secarasignifikanberbedadengan nol.

  16. Ujikoefisienkontingensi C denganAplikasispss Kasus: hubunganantarajenisprofesidanjenisolahraga yang disenangi Dari 20 sampeldiperoleh data sbb:

  17. -masukanvariabelprofesipadakotak rows-masukanvariabelolahragapadakotakcollums-klik statistic

  18. pilih chi square, contingency coefficient laluklik continue

  19. -pilihkotak cell danaktifkankotak observed dan expected kemudianklik continue.-klik continue-ok

  20. Output

  21. THANK YOU

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