Kebolehpercayaan (Kuliah Minggu ke-6, Analisis Data)

  • Merujuk kepada kestabilan dan ketekalan (konsistensi) sesuatu alat/instrumen mengukur sesuatu konsep pada bila-bila masa dan dalam apa jua keadaan serta mampu memberi skor yang sama/hampir sama walau diukur berulang kali.
  • Reliability does’nt ensure validity (Hair et al. 1995).
  • Sesuatu alat yang mampu mengukur pembolehubah dengan tekal dikatakan mempunyai kebolehpercayaan yang tinggi.
  • Empat jenis kebolehpercayaan; i. Kebolehpercayaan Uji dan Uji Kembali (Test re-test); ii. Alternate-Form Reliability; iii. Kebolehpercayaan bahagi dua (split-half); iv.Ketekalan dalaman (Internal Consistency Reliability).
  • Ketekalan Dalaman dilaporkan dengan merujuk nilai Alpha Cronbach (Rujuk Cronbach 1946).
  • Procedure for checking the reliability of a scale:

Important: before starting, you should check that all negatively worded items in your scale have been reversed (see Chapter 8 in Pallant 2011). If you don’t do this, you will find that you have very low (and incorrect) Cronbach alpha values. In this case, none of the items needs to be rescored.

  • 1. From the menu at the top of the screen, click on Analyze, select Scale, then Reliability Analysis.
  • 2. Click on all of the individual items that make up the scale (e.g. lifsat1, lifsat2, lifsat3, lifsat4, lifsat5). Move these into the box marked Items.
  • 3. In the Model section, make sure Alpha is selected.
  • 4. In the Scale label box, type in the name of the scale or subscale (Life Satisfaction).
  • 5. Click on the Statistics button. In the Descriptives for section, select Item, Scale, and Scale if item deleted. In the Inter-Item section, click on Correlations. In the Summaries section, click on Correlations.
  • 6. Click on Continue and then OK
  • Analisis kebolehpercayaan MESTI dijalankan konstruk demi konstruk.

“One of the most commonly used indicators of internal consistency is Cronbach’s alpha coefficient. Ideally, the Cronbach alpha coefficient of a scale should be above .7 (DeVellis 2003). Cronbach alpha values are, however, quite sensitive to the number of items in the scale. With short scales (e.g. scales with fewer than ten items) it is common to find quite low Cronbach values (e.g. .5). In this case, it may be more appropriate to report the mean inter-item correlation for the items. Briggs and Cheek (1986) recommend an optimal range for the inter-item correlation of .2 to .4.” (Pallant 2011).

  • PRESENTING THE RESULTS FROM RELIABILITY: You would normally report the internal consistency of the scales that you are using in your research in the Method section of your report, under the heading Measures, or Materials. After describing the scale (number of items, response scale used, history of Checking the reliability of a scale 101 use), you should include a summary of reliability information reported by the scale developer and other researchers, and then a sentence to indicate the results for your sample. For example:“According to Pavot, Diener, Colvin and Sandvik (1991), the Satisfaction with Life Scale has good internal consistency, with a Cronbach alpha coeffi cient reported of .85. In the current study, the Cronbach alpha coeffi cient was .89.”
  • Keterangan lanjut berkaitan KEBOLEHPERCAYAAN, silalah rujuk Pallant(2011) m/s 97-101.

Nota: Klik Reliability (Nota Ringkas) ;

Sumber: http://statistics.laerd.com/

TUGASAN MINGGU INI: Laporkan Kebolehpercayaan (Reliability) dan Kesahan (Validity) bagi setiap konstruk dalam Instrumen Keberkesanan Pengetua Kanan.

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One thought on “Kebolehpercayaan (Kuliah Minggu ke-6, Analisis Data)

  1. terima kasih atas perkongsian ilmu ini. saya dapat memahami dengan lebih jelas tentang analisis data spss.

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