Introduction to Quantitative Research Methods: An Investigative ApproachSAGE, 2001 M04 10 - 272 pages Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The original CD-ROM accompanying the book and its content are no longer available. |
Contents
Collecting Data Across Cultures Can we measure | |
Summary | |
Using SPSS and Excel to Describe Data | |
Summary | |
Elementary my dear Watson | |
Correlation and Regression | |
Looking at Categorical Data | |
From Samples to Populations | |
OneSample Tests | |
TwoSample Tests | |
It is a capital mistake to theorize before one has data | |
Validity | |
Summary | |
Analysing data from the inquiry | |
graphical and tabular form | |
Accounting for Tastes dataset | |
Describing Data | |
Introduction to Randomization Tests | |
Are Social Factors More Important than Individual Inclinations? Durkheims study on suicide | |
Main Points | |
References | |
Sample Letter for Informed Consent | |
Index | |
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Common terms and phrases
abduction anxiety1 associated Australian behaviour boxplot causal cent chi-square Click clues cluster sampling computer anxiety construct correlation coefficient crime cultural Data Analysis data snooper dataset deduction defined Descriptive Statistics detective fiction dialog box Durkheim effect evidence example experiment experimental external validity Father Brown Figure frequencies graphs groups Histogram Hofstede independent variable individual interest interval interview investigate involves journalists Lazarsfeld leaf display levels of measurement males median methods nomothetic normal distribution null hypothesis observations operational definitions operationalization option output p-value person plot population mean possible prediction problem psychology quantitative research questionnaire questions random sampling range ranks regression relationship reported represent research design research participants response sampling distribution scale scatterplot scores Sherlock Holmes social science research social scientist sociology SPSS standard deviation statistical sleuth stem and leaf styles of reasoning suicide summary survey t-test Table techniques theory values variance vote window