Insights Discovery

1 Insights Discovery : FIE. LUE RY. B. validating the system cautious competitive OL. RE. precise demanding CO. D. deliberate determined Insights Discovery : questioning strong-willed formal purposeful what is it based on? caring persuasive The Insights Discovery system is based on encouraging demonstrative W. sharing sociable LO. the psychological types theory of Dr Carl EA. patient enthusiastic L. RT. G Jung and one of his leading students, relaxed dynamic YE. G E. H. Dr Jolande Jacobi. Jung proposed that RE IN. EN S H. our personalities are created from the SU N. interaction of two attitudes; Extraversion and Introversion, and four functions, further Figure one: The Insights Discovery four colour energy split into two rational (Thinking and Feeling) wheel and associated behavioural characteristics and two irrational functions (Sensation and Intuition).

2 When combined, these elements Validity: How do we know the generate common personality types. Jung felt that what makes an individual unique are evaluator is measuring what we're the different balances of these functions and saying it's measuring, and how attitudes interacting within them. It is these balances that make up the Insights four well does it actually measure that? colour energies; representative of observable We measure this through Confirmatory Factor behavioural patterns (see figure one). Analysis (CFA) a test which determines These colours are measured by the which factors are actually present within a Insights Discovery evaluator; a 25-frame questionnaire. Here we used CFA to test the questionnaire of 100 word pairs, which hypothesised factor structure of the Insights produces the Insights Discovery Personal Discovery model.

3 We hypothesised that the Profile. Designed by Andi Lothian in the early four sets of 25 colour based items should load 1990s, Andi, and son Andy, founded Insights onto the factors such that the polar opposite Learning & Development Ltd in 1993. nature of the Fiery Red' vs. Earth Green'. D_FS_04_enGB_Insights Discovery : validating the system factsheet The Insights Group Ltd, 2018. All rights reserved. items is apparent and the polar opposite Reliability: here we're interested nature of the Sunshine Yellow' vs. Cool Blue'. in two main questions: items is apparent. The four colours should load onto their appropriate factor only. i) Does each item in the evaluator perform consistently? As a general rule of thumb, factor loadings greater than or less than are ii) Do we have consistent results over a period considered acceptable.

4 In table one below of time? the results of those statistically significant factor loadings are highlighted in a larger i) Does each item in the evaluator perform bold font. This table shows our hypotheses consistently? are supported in that the polar opposite of We determine this statistically through the Cool Blue' is Sunshine Yellow', this is further Cronbach Alpha coefficient. This measures the supported by factor analysis, it can be error variance, the unknown or unwanted seen that the Cool Blue' items load negatively factors in the average inter-item correlation onto factor two and the Sunshine Yellow'. across the four colour energies. When the items load positively onto factor two. This may error variance is low (as we would want), the lead to the conclusion that the fundamental Alpha coefficient approaches A value of explanation of the four Insights colour is the commonly accepted lower limit.

5 Preferences is contained in the first two factors that account for the bulk of the variance. Here our results show the four colours have very high Cronbach Alpha coefficients. Sample Size: Item average factor loadings 33,345 Cool Earth Sunshine Fiery Sample Size: Colour preferences Blue Green Yellow Red 33,435 Cool Earth Sunshine Fiery Factor one Blue Green Yellow Red Factor two Cronbach Alpha Coefficients Table one: Summary of Item Factor analysis for the Insights Discovery Preference Evaluator 95% [ , [ , [ , [ , Confidence ] ] ] ]. interval Table two: Summary of Cronbach Alpha coefficients in IDPE. D_FS_04_enGB_Insights Discovery : validating the system factsheet The Insights Group Ltd, 2018. All rights reserved. ii) Do we have consistent results over a Conclusion period of time?

6 In conclusion, this brief summary offers This is determined by giving the same good evidence of the construct validity (via individuals the same test over a certain CFA), internal reliability (Cronbach Alpha time period and measuring the Spearman Coefficients) and temporal consistency correlation coefficients. The accepted range (Spearman Correlation Coefficients) of the for this should be between and We Insights Discovery Preference Evaluator. have completed this on various different samples, the most recent including a sample of 6,250 individuals dated from 2011 to 2016 who completed the Insights Discovery Evaluator (IDPE) twice. We divided the overall sample into three sub-samples based on the length of the retest durations, 0-6 months, 7-18 months, 18 months and beyond.

7 We can see that, for the three time segments, the test-retest correlation coefficients range from to for all four colour scores. Colour energies Cool Earth Sunshine Fiery Blue Green Yellow Red Correlation (N=6250). 0-6 months (N= 1869). 7-18 months (N=1893). 18 months and beyond (N=2488). Table three: Test-retest Spearmen correlation for the IDPE. D_FS_4_enGB_Insights Discovery : validating the system factsheet The Insights Group Ltd, 2018. All rights reserved.