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Home / Books / Published Books / Practical Approaches to Measurements, Sampling Techniques and Data Analysis
Practical Approaches to Measurements, Sampling Techniques and Data Analysis
Felix Kutsanedzie, Sylvester Achio, Edmund Ameko
Published Date:
September, 2016
Science Publishing Group
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Table of Contents
The Whole Book
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Front Matter
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Chapter 1 Data Collection Methods and Instrumentation
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1.1 Data Collection Methods
1.1.1 Observation Method
1.1.2 Survey Method
1.2 Contact Method
1.3 Experimental Method
1.4 Data Collection Instruments
1.4.1 Questionnaire
1.4.2 Opinionnaire
1.4.3 Observation
1.4.4 Interview
Chapter 2 Determination of Appropriate Sample Size for a Research
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2.1 Introduction
2.2 Determination of Sample Size
2.3 Determination of Sample Size with Levels of Significance
Chapter 3 Graphical and Tabular Statistical Data Summarizing Tools
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3.1 Concepts
3.2 Constructs
3.3 Measurement and Variables
3.4 Levels of Measurement
3.5 Problems Associated with Data Collected
3.6 Measure of Reliability of Collected Data
3.7 Tools for Summarizing Data Collected
3.8 Tabular Method
3.9 Relative Frequency Distribution
3.10 Qualitative Data
3.11 Graphical Tools
3.11.1 Stem and Leaf Display
3.11.2 Dot Plot
3.11.3 Histogram
3.11.4 Ogive
3.11.5 Scatter Diagram
3.11.6 Box and Whisker
Chapter 4 Sampling and Sampling Techniques
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4.1 Introduction
4.2 Definition of Sampling, Sampling Techniques, Samples and Population
4.3 Sampling Techniques
4.4 Probability Sampling Techniques
4.5 Non Probability Sampling Techniques
Chapter 5 Use of Random Number Table for Sample Selection
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5.1 Introduction
5.2 Random Numbers Generation with Population Sizes
5.3 Assigning of Random Numbers to Subjects or Objects within a Population
Chapter 6 Research Errors Encountered in Data Handling
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6.1 Introduction
6.2 Types of Scores
6.3 Types of Estimations
Chapter 7 Handling Research Data with Descriptive Statistics
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7.1 Introduction
7.2 Measures of Central Tendency or Location
7.3 Measures of Variation or Dispersion
7.4 Measures of Position
7.5 Distribution of Shapes
Chapter 8 Handling Research Data with Inferential Statistics
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8.1 Introduction
8.2 T-test
Chapter 9 Transformation of Data
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9.1 Introduction
9.2 Testing the Data Normality
9.3 Transformation of Data
Back Matter
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Mr. Felix Kutsanedzie, the lead author of this book, is a Senior Research Fellow / lecturer and currently the Head of the Accra Polytechnic Research and Innovations Centre. He holds a MSc. degree in Bio-Engineering; a BSc. (Agric-Mech); and an Adv. Dip. (Project Management). He is an Associate Editor of Directory Open Access Journals (DOAJ) and a prolific writer with several peer-reviewed publications to his credit.

Professor Sylvester Achio is currently the Rector of Accra Polytechnic and a professor at the Department of Science Laboratory Technology of Accra Polytechnic, who holds MSc. Hons. (Research) Agric (Agronomy), PGC Ed. (Russian Language), PhD. Bio. Sci. (Microbiology). He has authored several technical books and also has presented papers at many national and international conferences, workshops, seminars as well as several peer-reviewed journal publications to his credit.

Mr. Edmund Ameko is a Senior Lecturer at the Department of Science Laboratory Technology of Accra Polytechnic. He holds a BSc. in Biochemistry and a MSc. degree in Food Science and Technology, and currently the Dean of School of Applied Sciences at Accra Polytechnic. He is a prolific writer with several peer-reviewed publications.
Measurements, sampling and data analysis remain a very crucial if not the fulcrum of research activities. There is not research study for which measurement and analysis are not done. For every research study to be undertaken, the researcher must have a concept for which he or she needs to find a way of measuring. However, concepts are vague ideas and thus must be reduced to variables for them to be measured. It is thus only variables that can be measured for data to be collected as empirical evidence to support a research study being conducted.

It is a complete book with several book chapters vital to understanding research through measurements, sampling and its techniques, data transformation and data analysis in a practical and comprehensive way. The book is intended to equipped lecturers, researchers, tertiary students and all those interested in researches with the appropriate skills and know-how in the conduct and appreciation herculean tasks of a researcher. It would be of immense benefit to final year tertiary students conducting their research and writing of their research reports.
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