Quantitative Data Analysis PDF

Quantitative Data Analysis 1  Getting the Data Ready for Analysis Data coding: assigning a number to the participants’ responses so they can be entered into a database. Data Entry: after responses have been coded, they can be entered into a database. Raw da...

Quantitative Data Analysis 1  Getting the Data Ready for Analysis Data coding: assigning a number to the participants’ responses so they can be entered into a database. Data Entry: after responses have been coded, they can be entered into a database. Raw data can be entered through any software program (e.g., SPSS) Inferential Statistical Analysis Types  Correlation Coefficient A correlation coefficient is a number between -1 and 1 that tells you the strength and direction of a relationship between variables. Correlation Coefficient Correlation Coefficient Regression Analysis Regression Analysis Forms of regression analysis Forms of regression analysis Forms of regression analysis Simple Linear Regression Simple Linear Regression Multiple Linear Regression Transforming Data Frequencies  Correlation Correlation Factor : -1 to 1 Positive correlation greater than 0 and less then 1 Negative correlation less than 0 and greater then -1  Testing Hypotheses about Two Unrelated Means Independent samples t-test: is done to see if there are any significant differences in the means for two groups in the variable of interest. Comparing 2 groups significant effect on difference Testing Hypotheses for more than 2 groups ANOVA: examines differences between the means of more than 2 groups. Comparing more than 2 groups significant effect on difference Correlation Coefficient Qualitative Data Analysis 25  Analysis of Qualitative Data The analysis of qualitative data is aimed at making valid inferences from the often overwhelming amount of collected data. Steps: – data reduction – data display – drawing and verifying conclusions  Data Reduction Coding: the analytic process through which the qualitative data that you have gathered are reduced, rearranged, and integrated to form theory. Categorization: is the process of organizing, arranging, and classifying coding units.  Data Display Data display: taking your reduced data and displaying them in an organized, condensed manner. Examples: charts, matrices, diagrams, graphs, frequently mentioned phrases, and/or drawings.  Drawing Conclusions At this point where you answer your research questions by determining what identified themes stand for, by thinking about explanations for observed patterns and relationships, or by making contrasts and comparisons.