Key Concepts in Research—Week 7
Data Analysis Techniques
Connaway & Powell—Chapter 9
Dispersion or variability—in statistics, this refers to how widely the cases vary within a group. The four descriptive statistics commonly used for this are: range of scores, mean deviation, standard deviation, and variance.
What are the basic steps of statistical analysis? 1) Establishment of categories 2) coding the data 3) analyzing the data using either descriptive or inferential statistics.
Wildemuth—Chapter 29
Content analysis—is a research method often used in journalism, mass communication and library and information science. The method is a quantitative analysis of words that are systematically pulled from texts, graphics and video, to objectively examine the contents.
Intercoder agreement—when more than one coder is coding the data it is important that they are objectively coding in the same manner. To test the agreement, first a measure of agreement is conducted, second choose the minimum amount of reliability that is acceptable in the measure of agreement, third assess informally during the training of coders, and formally in a pilot test and again during the actual coding of the research. Last, the results from your intercoder agreement must be reported in your research write-up.
Wildemuth—Chapter 30
What are the steps of qualitative content analysis? 1)Prepare the data 2) Define the unit of analysis 3) Develop categories and a coding scheme 4) Test the coding scheme on a text sample 5) Code all of the text 6) Assess the consistency of the coding 7) Draw conclusions from the coded data 8) Report the methods you used and the findings.
What are the three types of qualitative content analysis discussed by Hsieh and Shannon (2005)? The three types are conventional qualitative content analysis, directed content analysis, and summative content analysis.
Wildemuth—Chapter 31
Discourse analysis—is used to analyze text and speech to uncover meaning in the selection of words, expressions, hesitations, etc. It makes the assumption that text and speech are what builds the speakers’ social world.
Hermeneutics—is a method of analysis in which a text is broken down into parts, and looked at separately, and then analyzed for how the parts affect the interpretation of the whole.
Wildemuth—Chapter 32
Analytic induction—is a method used when analyzing qualitative data. Using the data, the researcher develops and refines a theory or hypothesis.
Moderatum generalization—analysis is a modified qualitative analysis that generalizes analytic induction in a more even-handed manner than purely qualitative analysis.
Wildemuth—Chapter 33
Descriptive statistics—summarizes the results of your data. Various statistics may be used, including frequency distribution which can be displayed in contingency tables and discussed using cross-tabulation and chi-square analysis.
What are two types of statistics frequently used in descriptive statistics? Measures of central tendency include the mean, the median, and the mode and are concerned with one value that best summarizes the data set. Measures of dispersion describe your data set as a whole. When using the mode or the median, the range or interquartile range is used. If the mean is used, report the standard deviation.
Wildemuth—Chapter 34
Frequency distribution—is an organized table displaying the number of cases in a specific category of a specific variable.
Chi-square statistic—a test used to determine if the frequency distribution is likely to occur by chance. It measures what one observes and what one expects to observe in the general population.
Wildemuth—Chapter 35
Analyzing sequence of events—is often used to determine behavior in web browsing and searching in library and information science. The researcher is interested in the sequence that a subject uses during a certain behavior such as dancing, channel surfing, web browsing, etc.
How is sequential data analyzed? By using state transitions where observation is made from one event to the next or by using optimal matching algorithms which attempts to compare to complete sequences looking for similarity or dissimilarity.
Wildemuth—Chapter 36
Correlation—a method of statistical analysis used to examine the relationship between two variables. A scatter diagram can be used to graphically display correlation.
Strength of relationship—the absolute value of the correlation statistic, it will range between 0 and 1. The higher the absolute value is indicates a stronger relationship between the two variables.
Wildemuth—Chapter 37
T test—calculates the probability that the difference between two means is attributable to chance.
Analysis of variance (ANOVA)-similar to the t test the ANOVA can be used to test more than two means.
References
Connaway, L. & Powell, R. (2010). Basic research methods for librarians. 5th ed. Santa Barbara, CA: Libraries Unlimited.
Wildemuth, B. M. (2009). Applications of Social Research Methods to Questions in Information and Library Science. Westport, CN: Libraries Unlimited.