Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey 07458 All rights reserved. John W. Creswell Educational Research: Planning,

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Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition Chapter 7 Analyzing and Interpreting Quantitative Data

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.2 By the end of this chapter, you should be able to: Describe the process of preparing and organizing your data for analysis Identify the procedures for analyzing your descriptive research questions Identify the procedures for analyzing your inferential research questions or hypotheses Recognize how to design and present results in tables, figures, and a results section Describe a discussion section of a research report that interprets the results

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.3 Preparing the Data for Analysis: Inputting Data Score data by assigning numeric codes to responses Create a codebook Use information from instruments when possible as a part of coding scheme Create a data file in data grid Create variable, value labels Clean database, missing values

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.4 Determine Types of Scores to Analyze Single item Summed scores Difference scores

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.5 Selecting a Statistical Program Statistical Package for Social Sciences (SPSS) most popular Other programs –Minitab –Statview –SAS (JMP/JMPIN) –StatPac Use mainframe, PC, or Mac platforms

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.6 Conducting Descriptive Analysis Measures of central tendency (value or score that represents the entire distribution) –Mean: Typically called the “average” –Median: The value or score that divides the top half of a distribution from the bottom half –Mode: The value or score that occurs most often Measures of variability (describes the “spread” of the scores –Range: The difference between the highest and lowest scores –Standard deviation: The standard distance the scores are away from the mean

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.7 Conducting Descriptive Analysis Measures of relative standing –Percentile rank: The percentage of participants in the distribution with scores at or below a particular score –Calculated score: Enables a researcher to compare scores from different scales –Z-Score: A popular form of the standard score, has a mean of 0 and a standard deviation of 1

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.8 Running Descriptive Statistics Descriptive Statistics Central Tendency Variability Relative Standing Mean Median Mode Variance Standard Deviation Range Z-Score Percentile Ranks

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.9 Conducting Inferential Analysis Hypothesis testing: A procedure for making decisions about results by comparing an observed value of a sample with a population value to determine if no difference or relationship exists between the values Confidence interval: The range of upper and lower statistical values that is consistent with observed data and is likely to contain the actual population mean

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.10 Conducting Inferential Analysis (cont’d) Effect size: A means for identifying the practical strength of the conclusions about group differences or about the relationship among variables

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.11 Conducting Hypothesis Tests Identify a null and alternative hypothesis Set the level of significance (alpha level) for rejecting the null hypothesis Collect the data Compute the sample statistic Make a decision about rejecting/failing to reject

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.12 Computing the Samples Statistic Inferential Statistics Parametric Chi-Square Analysis Phi Coefficient Pearson Correlation Coefficient Regression Coefficient Spearman Rho Kendall’s Tau Continuous (iv) Continuous (dv) Categorical (iv)- Continuous (dv) Continuous (iv)- Categorical (dv) Categorical (iv)- Categorical (dv) T-Test Analysis of Variance Analysis of Covariance Mann- Witney U-Test Kruskall Wallis Test Friedman Two-Way Anova Discriminant Analysis Point Biserian Correlation Nonparametric

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.13 Selecting an Appropriate Statistic Determine the type of quantitative research question or hypothesis you want to analyze Identify the number of independent variables Identify the number of dependent variables Identify whether covariates and the number of covariates are used in the research question or hypothesis

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.14 Selecting an Appropriate Statistic Consider the scale of measurement for your independent variable(s) in the research question or hypothesis Identify the scale of measurement for the dependent variables (e.g., continuous or categorical) Determine if the distribution of the scores is normal or skewed

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.15 Normal Curve 34% 13.5% 2.5% Standard Deviations Mean

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.16 The Normal Curve of Mean Differences of All Possible Outcomes If the Null Hypothesis Is True Reject the Null Hypothesis Reject the Null Hypothesis Extremely Low Probability Values If Null Hypothesis Is True (Critical Region) Alpha=.025 Extremely Low Probability Values If Null Hypothesis Is True (Critical Region) Alpha=.025 Two-Tailed Test High Probability Values If the Null Hypothesis Is True

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.17 Outcomes of Hypothesis Testing: Type I and Type II Errors State of Affairs in the Population Decision Made by the Researcher Based on the Statistical Test Value Type I Error (false positive) (probability = Alpha) Correctly not rejected: no error Correctly rejected: no error (probability = power) Type II Error (false negative) (probability = Beta) Reject the Null Hypothesis No Effect: Null True Effect Exists: Null False Fail to Reject the Null Hypothesis

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.18 Reporting the Results Tables summarize statistical information –Title each table –Present one table for each statistical test –Organize data into rows and columns with simple and clear headings –Report notes that qualify, explain, or provide additional information in the tables, which can be helpful to readers. Notes include information about the size of the sample reported in the study, the probability values used in hypothesis testing, and the actual significance levels of the statistical test

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.19 Reporting the Results (cont’d) Figures (charts, pictures, drawings) portray variables and their relationships –Labeled with a clear title that includes the number of the figure –Augment rather than duplicate the text –Convey only essential facts –Omit visually distracting detail –Easy to read and understand –Consistent with and are prepared in the same style as similar figures in the same article –Carefully planned and prepared

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.20 Reporting the Results (cont’d) Detailed explanations about statistical results –Report whether the hypothesis test was significant or not –Provide important information about the statistical test, given the statistics –Include language typically used in reporting statistical results

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, third edition 7.21 Discussing the Results Summarize major results Explain why they occurred Explain the implications of the results for the audiences Advance limitations Suggest future research