Chapter 9 Nonexperimental Research: Descriptive and Correlational Methods.

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Presentation transcript:

Chapter 9 Nonexperimental Research: Descriptive and Correlational Methods

CHAPTER OBJECTIVES - STUDENTS SHOULD BE ABLE TO: Explain the purpose and use of descriptive and correlational studies. Discuss the development and use of surveys. Explain the different types of tools used in survey research. List the “Ten Commandments” of interviewing. Summarize how to conduct survey research. Discuss how to verify the validity of survey research. Outline the pros and cons in survey research.

CHAPTER OBJECTIVES - STUDENTS SHOULD BE ABLE TO: Define correlational research and discuss how correlations assess the degree to which variables are related. Discuss scattergram data and what the correlation coefficient means. Compute the Pearson product moment correlation coefficient. Explain the difference between a coefficient of determination and a coefficient of alienation.

CHAPTER OVERVIEW Descriptive Research Correlational Research

NONEXPERIMENTAL RESEARCH Descriptive Research Correlational Research Methods

DESCRIPTIVE RESEARCH

DESCRIPTIVE RESEARCH Asks about the characteristics of a phenomenon Does not include treatment or control groups

DESCRPTIVE RESEARCH Survey Research Correlational Studies—relationships between variables are characterized

SURVEY RESEARCH Examines the frequency and relationships between psychological and sociological variables Assesses constructs such as attitudes, beliefs, prejudices, etc.

INTERVIEWS Basic tool of survey Face sheet—neutral background information Helps establish rapport with interviewee Establishes data characteristics Two types of questions Structured questions require an explicit answer Open-ended questions allow the interviewee to elaborate

INTERVIEWS Advantages Disadvantages Flexibility in collecting data Interviewer can set tone and agenda Disadvantages Expensive Lack anonymity, so responses might not be honest Lack standardized questions

DEVELOPING AN INTERVIEW Describe goals of project Select appropriate sample Develop interview questions Train interviewers Conduct interviews

TEN COMMANDMENTS OF INTERVIEWING Do not begin the interview cold. Remember that you are there to get information. Be direct. Dress appropriately. Find a quiet place to conduct the interview. If your interviewee doesn’t give a satisfactory answer the first time, don’t give up. Use a tape recorder. Make the interviewee a part of the interview. Practice. Thank interviewees for their help, and ask for questions.

HOW TO DO SURVEY RESEARCH The general (flow) plan Clarify the objectives Identify a sample Define a method How will the questions be structured? How will the sample be defined? How will the data be collected? What types of questions will be asked? Coding and scoring

EVALUATING SURVEY RESEARCH Advantages Permits good generalization Efficient data collection Can yield very accurate results Disadvantages Bias Interviewer bias Interviewee bias Non-response

CORRELATIONAL RESEARCH

CORRELATIONAL RESEARCH STUDIES Describe a linear relationship between variables Do not imply a cause-and-effect relationship Do imply that variables share something in common

CORRELATION COEFFICIENT Expresses degree of linear relatedness between two variables Varies between –1.00 and +1.00 Strength of relationship is Indicated by absolute value of coefficient Stronger as shared variance increases

TWO TYPES OF CORRELATION If X… And Y… The correlation is Example Increases in value Positive or direct The taller one gets (X), the more one weighs (Y). Decreases in value The fewer mistakes one makes (X), the fewer hours of remedial work (Y) one participates in. Negative or inverse The better one behaves (X), the fewer in-class suspensions (Y) one has. The less time one spends studying (X), the more errors one makes on the test (Y).

WHAT CORRELATION COEFFICIENTS LOOK LIKE Pearson product moment correlation rxy Correlation between variables x and y Scattergram representation Set up x and y axes Represent one variable on x axis and one on y axis Plot each pair of x and y coordinates

When points are closer to a straight line, the correlation becomes stronger As slope of line approaches 45°, correlation becomes stronger

COMPUTING THE PEARSON CORRELATION COEFFICIENT Where rxy = the correlation coefficient between X and Y  = the summation sign n = the size of the sample X = the individual’s score on the X variable Y = the individual’s score on the Y variable XY = the product of each X score times its corresponding Y score X2 = the individual X score, squared Y2 = the individual Y score, squared

AN EXAMPLE OF MORE THAN TWO VARIABLES Grade Reading Math 1.00 .321 .039 .605

INTERPRETING THE PEARSON CORRELATION COEFFICIENT “Eyeball” method Correlations between Are said to be  .8 and 1.0 Very strong  .6 and .8 Strong  .4 and .6 Moderate  .2 and .4 Weak  0 and .2 Very weak

INTERPRETING THE PEARSON CORRELATION COEFFICIENT Coefficient of determination Squared value of correlation coefficient Proportion of variance in one variable explained by variance in the other Coefficient of alienation 1 – coefficient of determination Proportion of variance in one variable unexplained by variance in the other

RELATIONSHIP BETWEEN CORRELATION COEFFICIENT AND COEFFICIENT OF DETERMINATION If rxy Is And rxy2 Is Then the Change From Is 0.1 0.01 0.2 0.04 .1 to .2 3% 0.3 0.09 .2 to .3 5% 0.4 0.16 .3 to .4 7% 0.5 0.25 .4 to .5 9% 0.6 0.36 .5 to .6 11% 0.7 0.49 .6 to .7 13% 0.8 0.64 .7 to .8 15% 0.9 0.81 .8 to .9 17% The increase in the proportion of variance explained is not linear

HAVE WE MET THE OBJECTIVES? CAN YOU: Explain the purpose and use of descriptive and correlational studies? Discuss the development and use of surveys? Explain the different types of tools used in survey research? List the “Ten Commandments” of interviewing? Summarize how to conduct survey research? Discuss how to verify the validity of survey research? Outline the pros and cons in survey research?

HAVE WE MET THE OBJECTIVES? CAN YOU: Define correlational research and discuss how correlations assess the degree to which variables are related? Discuss scattergram data and what the correlation coefficient means? Compute the Pearson product moment correlation coefficient? Explain the difference between a coefficient of determination and a coefficient of alienation?