SPS Component Analysis: 1006 Inuit Children

1006 Inuit children aged between 9 and 12 years old, who spoke the Inuktitut language from the region of Northern Canada were recruited from the Inuit communities and were invited to participate in the research.

Materials

A 25 item questionnaire was used using the Likert Scale (Laureate Education, 2015). the SPSS software was used to analyze the data.

Procedure

Factor Analysis was conducted using the SPSS software with the aim to reduce the minimal number of factors, and to make easy interpretation of the questionnaire. A Parallel Analysis and SPSS Component Analysis was also conducted.

Five items were then taken from each of the Five IPIP (Goldberg, 1993) scales “(Extraversion, Neuroticism, Openness, Agreeableness & Conscientiousness)”;

With SPSS, one was able to determine which variables got attached to which existing factors and created a strong association between them. This assisted in finding out why certain variables are drawn towards one factor over another (Field, 2013).

The data was easy to manage using the SPSS, the results were easily displayed, analyzed and cross-references (Costa & McCrae, 1995).

The Likert scale provided the participants from the Inuit culture with options in answering the “questions on a scale of 1-5 (strongly disagree down to strongly agree)” making it very easy for them to understand when questions translated into the Inuktitut language (Likert,

The parallel analysis results (Table.1) show that with 1006 participants and 25 variables, the first 12 variables display a mean figure greater than 1.0. The SPSS Component analysis shows that only the first 6 components display a total Eigenvalue figure greater than 1.0

Table.1 (Mean values shown to three decimal places only)

The percentage of variance value decreased as it progressed through each factor from 8.641 for factor 1, then to 8.456, 7.571, 6.810, 6.569 and 4.258 cumulative total for the 6 factors 42.305%.

This was confirmed by the Scree plot (fig.1) which shows the point of Inflexion at factor 7, indicating the change in Eigenvalue prior to that.

Scree Plot (fig. 1) displayed the Point of Inflexion and Eigenvalue changed.

The Eigenvalue is greater than the mean value in the parallel analysis (Table 1a.) when compared to the SPSS component analysis with the Parallel analysis.

Factor 6 in the Components analysis displayed a lower Eigenvalue than the means value in the parallel analysis. Upon conducting the factor analysis, only the first 5 factors had to be extracted for