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Nt1310 Unit 3 Data Analysis

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4. What is the difference between a.. Data Analysis Response rate:- the study targeted a sample size of 120 respondents from which 110 filled in and returned the questionnaires making response rate of 91.66% TABLE 4.01 RESPONSE RATE.

Questionnaire Administered Filled &Returned % Respondent 180 120 66.66.

Source:- Author’s compilation As a representative sample, this response rate was sufficient to draw conclusions for the study. A response rate of 50% is sufficient for analysis. DEMOGRAPHICS STATISTICS The essential characteristics of the respondents can be identified by the demographic data, and some of the key characteristics such as age, gender, qualification, faculty. TABLE 4.02 DEMOGRAPHICS STATISTICS GENDER Count of GENDER Female 58 …show more content…
There are 5 components extracted. The values in the matrix range from -1 to 1, with values closer to 1 indicating a stronger correlation. This suggests that Component 1 is related to overall organization climate and culture. This suggests that Component 2 is related to social interaction. This suggests that Component 3 is related to content, policy, rules, and modules. This suggests that Component 4 is related to information gathering and analysis. This suggests that Component 5 is related to employee satisfaction. These components can be used to further explore the relationships between the variables and to develop strategies for improving organizational performance. Rotated Component …show more content…
and the extracted components. The components are listed in the rows of the table, and the variables are listed in the columns. Correlations are represented by numbers, where higher numbers indicate stronger correlations. Here is a more detailed interpretation of each component: Component 1: This component is most strongly correlated with the variables g, OE2, and OE4. These variables are all measures of general intelligence, employee satisfaction, and cognitive ability. Therefore, Component 1 can be interpreted as an employee satisfaction factor. Component 2: This component is most strongly correlated with the variables OC1, OE3, and OC2. These variables are all measures of spatial ability, work environment and workplace culture. Therefore, Component 2 can be interpreted as an Organization culture factor. Component 3: This component is most strongly correlated with the variables RC1, RC2, and RC3. These variables are all measures of reading comprehension and vocabulary. Therefore, Component 3 can be interpreted as a reading comprehension i.e. content and modules factor. Component 4: This component is most strongly correlated with the variables CM2 and CM4. These variables are both measures of working memory, work profile, and job roles. Therefore, Component 4 can be interpreted as a working memory or role clarity factor. Component 5: This

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