This book is designed for students completing research design and statistics courses and for those involved in planning and executing research of their own. Hopefully this guide will give you the confi dence to tackle statistical analyses calmly and sensibly, or at least without too much stress! Many of the problems that students experience with statistical analysis are due to anxiety and confusion from dealing with strange jargon, complex underlying theories and too many choices. Unfortunately, most statistics courses and textbooks encourage both of these sensations! In this book I try to translate statistics into a language that can be more easily understood and digested. The SPSS Survival Manual is presented in a structured format, setting out step by step what you need to do to prepare and analyse your data. Think of your data as the raw ingredients in a recipe. You can choose to cook your ‘ingredients’ in different ways—a fi rst course, main course, dessert. Depending on what ingredients you have available, different options may, or may not, be suitable. (There is no point planning to make beef stroganoff if all you have is chicken.) Planning and preparation are an important part of the process (both in cooking and in data analysis). Some things you will need to consider are: • Do you have the correct ingredients in the right amounts? • What preparation is needed to get the ingredients ready to cook? • What type of cooking approach will you use (boil, bake, stir-fry)? • Do you have a picture in your mind of how the end result (e.g. chocolate cake) is supposed to look? • How will you tell when it is cooked? • Once it is cooked, how should you serve it so that it looks appetising? The same questions apply equally well to the process of analysing your data. You must plan your experiment or survey so that it provides the information you need, in the correct format. You must prepare your data fi le properly and enter your data carefully. You should have a clear idea of your research questions and how you might go about addressing them. You need to know what statistical techniques are available, what sort of variables are suitable and what are not. You must be able to perform your chosen statistical technique (e.g. t-test) correctly and interpret the output. Finally, you need to relate this ‘output’ back to your original research question and know how to present this in your report (or in cooking terms, should you serve your chocolate cake with cream or ice-cream, or perhaps some berries and a sprinkle of icing sugar on top?). In both cooking and data analysis, you can’t just throw in all your ingredients together, shove it in the oven (or SPSS, as the case may be) and hope for the best. Hopefully this book will help you understand the data analysis process a little better and give you the confi dence and skills to be a better ‘cook’.

Price: $300.00

This book is designed for students completing research design and statistics courses and for those involved in planning and executing research of their own. Hopefully this guide will give you the confi dence to tackle statistical analyses calmly and sensibly, or at least without too much stress! Many of the problems that students experience with statistical analysis are due to anxiety and confusion from dealing with strange jargon, complex underlying theories and too many choices. Unfortunately, most statistics courses and textbooks encourage both of these sensations! In this book I try to translate statistics into a language that can be more easily understood and digested. The SPSS Survival Manual is presented in a structured format, setting out step by step what you need to do to prepare and analyse your data. Think of your data as the raw ingredients in a recipe. You can choose to cook your ‘ingredients’ in different ways—a fi rst course, main course, dessert. Depending on what ingredients you have available, different options may, or may not, be suitable. (There is no point planning to make beef stroganoff if all you have is chicken.) Planning and preparation are an important part of the process (both in cooking and in data analysis). Some things you will need to consider are: • Do you have the correct ingredients in the right amounts? • What preparation is needed to get the ingredients ready to cook? • What type of cooking approach will you use (boil, bake, stir-fry)? • Do you have a picture in your mind of how the end result (e.g. chocolate cake) is supposed to look? • How will you tell when it is cooked? • Once it is cooked, how should you serve it so that it looks appetising? The same questions apply equally well to the process of analysing your data. You must plan your experiment or survey so that it provides the information you need, in the correct format. You must prepare your data fi le properly and enter your data carefully. You should have a clear idea of your research questions and how you might go about addressing them. You need to know what statistical techniques are available, what sort of variables are suitable and what are not. You must be able to perform your chosen statistical technique (e.g. t-test) correctly and interpret the output. Finally, you need to relate this ‘output’ back to your original research question and know how to present this in your report (or in cooking terms, should you serve your chocolate cake with cream or ice-cream, or perhaps some berries and a sprinkle of icing sugar on top?). In both cooking and data analysis, you can’t just throw in all your ingredients together, shove it in the oven (or SPSS, as the case may be) and hope for the best. Hopefully this book will help you understand the data analysis process a little better and give you the confi dence and skills to be a better ‘cook’.

Price: $300.00