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Data analysis-with-spss-reliability-anil barik

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This document provides instructions for obtaining Cronbach's alpha reliability statistics in SPSS. It describes the steps to run a reliability analysis on a scale with 21 items (p1 to p21). The output shows that 672 cases were used to calculate a Cronbach's alpha of 0.915 for the scale, indicating high internal consistency. The item-total statistics table shows that removing any of the 21 items would not increase the Cronbach's alpha, so all items should be retained in the scale.

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Analyzing Data Using SPSS (Reliability)
Obtaining Reliability of Scale Obtaining Cronbachs Alpha: Analyze Scale Reliability Analysis
Data analysis-with-spss-reliability-anil barik
Data analysis-with-spss-reliability-anil barik
Reliability Model Alpha
Data analysis-with-spss-reliability-anil barik
Reliability Drag items on the left to the right dialog box In this case: items p1 to p21
Data analysis-with-spss-reliability-anil barik
Reliability Press statistics Choose scale if item deleted Then Press continue Then OK
Data analysis-with-spss-reliability-anil barik
Reliability The SPSS Output
Data analysis-with-spss-reliability-anil barik
Case Processing Summary 672 100.0 0 .0 672 100.0 Valid Excludeda Total Cases N % Listwise deletion based on all variables in the procedure. a. 672 cases (observations/respondents) were used in the calculation of Cronbachs alpha
Reliability Statistics .915 21 Cronbach's Alpha N of Items The obtained alpha score is 0.915, which indicates that the scale has high internal consistency (reliability)
Item-Total Statistics 79.32 128.717 .526 .911 79.55 127.604 .541 .911 79.80 127.911 .489 .912 79.70 126.154 .561 .911 79.82 124.242 .653 .908 79.88 124.296 .621 .909 79.32 127.197 .592 .910 79.48 127.201 .588 .910 79.37 128.648 .509 .912 79.48 126.077 .615 .909 79.42 125.346 .610 .909 79.25 124.597 .647 .909 79.47 124.878 .589 .910 79.95 125.219 .491 .913 79.63 126.532 .593 .910 79.51 128.632 .491 .912 79.81 129.365 .422 .914 79.66 126.834 .564 .910 79.37 125.426 .629 .909 79.27 127.141 .617 .910 79.42 131.546 .345 .915 p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p14 p15 p16 p17 p18 p19 p20 p21 Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Under the Cronbachs Alpha if Item deleted the reliability of 0.915 is the highest, so it is not necessary to delete any of the items to improve the reliability score of this scale

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Data analysis-with-spss-reliability-anil barik

  • 1. Analyzing Data Using SPSS (Reliability)
  • 2. Obtaining Reliability of Scale Obtaining Cronbachs Alpha: Analyze Scale Reliability Analysis
  • 7. Reliability Drag items on the left to the right dialog box In this case: items p1 to p21
  • 9. Reliability Press statistics Choose scale if item deleted Then Press continue Then OK
  • 13. Case Processing Summary 672 100.0 0 .0 672 100.0 Valid Excludeda Total Cases N % Listwise deletion based on all variables in the procedure. a. 672 cases (observations/respondents) were used in the calculation of Cronbachs alpha
  • 14. Reliability Statistics .915 21 Cronbach's Alpha N of Items The obtained alpha score is 0.915, which indicates that the scale has high internal consistency (reliability)
  • 15. Item-Total Statistics 79.32 128.717 .526 .911 79.55 127.604 .541 .911 79.80 127.911 .489 .912 79.70 126.154 .561 .911 79.82 124.242 .653 .908 79.88 124.296 .621 .909 79.32 127.197 .592 .910 79.48 127.201 .588 .910 79.37 128.648 .509 .912 79.48 126.077 .615 .909 79.42 125.346 .610 .909 79.25 124.597 .647 .909 79.47 124.878 .589 .910 79.95 125.219 .491 .913 79.63 126.532 .593 .910 79.51 128.632 .491 .912 79.81 129.365 .422 .914 79.66 126.834 .564 .910 79.37 125.426 .629 .909 79.27 127.141 .617 .910 79.42 131.546 .345 .915 p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p14 p15 p16 p17 p18 p19 p20 p21 Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Under the Cronbachs Alpha if Item deleted the reliability of 0.915 is the highest, so it is not necessary to delete any of the items to improve the reliability score of this scale