A Comprehensive but Brief Introduction to Statistics in the Behavioral Sciences

Edition: 1

Copyright: 2024

Pages: 221

Choose Your Format

Choose Your Platform | Help Me Choose

Ebook

$54.40

ISBN 9798385156047

Details Electronic Delivery EBOOK 180 days

Succeed at statistics with this brief, easy to understand, comprehensive guide.

  • Brief, about 200 pages

  • Comprehensive. Includes all statistics normally included in an undergraduate introductory statistics course.

  • Student focused, informal style. Written as if having a conversation with a student.

  • Emphasis on the conceptual structure of the formula, what the formula does rather than being an obscure set of symbols. For example, a t-test is simply an index that weighs the distance between two means by the variability of scores.

  • Biographical synopsis (on selected modules) of a person(s) responsible for the development of the statistic, called “Pioneers in Statistics.”

  • Complete step-by-step example of each statistic calculated by hand, and by SPSS.

  • Emphasis on reducing student math anxiety by using simple, whole numbers, enabling easy calculation.

  • Clear, easy to understand interpretation of each statistic.

  • Practical examples of the way the result of the statistic is written in an American Psychological Association (APA) manuscript.

  • Extended, easy to understand discussion of effect size, power, and degrees of freedom. Both a conceptual and a mathematical proof is provided for degrees of freedom, the only text to do this, to our knowledge.

  • Ancillary materials include PowerPoint slides, and a problem set with fully worked out answers.

To the student
Acknowledgments

Module 1 Statistical Preliminaries 
Basic Statistical Concepts
       Independent and Dependent Variables
       Samples and Populations
              Theoretical populations
              Measured populations
              Samples
       Types of Measurement
              Nominal scales
              Ordinal scales
              Interval scales
              Ratio scales 
       Summation 
       Descriptive and Inferential Statistics 
Introduction to IBM SPSS Statistics Software (SPSS)
       The Structure of an SPSS Dataset
              Data View
              Variable View
              The Toolbar
       What’s Next?

Module 2 Graphing
Graphing Data
       Let’s consider this example
       Bar Graph
       Bar Histogram
       Frequency Polygon 
       Line Graph 
       Common Mistakes
       How to create charts using IBM SPSS statistics software (SPSS) 
              Bar Chart
              Pie Chart
              Output 
              Histogram
              Output 
       Line Graph 
              Output 
       What’s Next?

Module 3 Measures of Central Tendency 
Properties of the Mean
Example of Normal and Skewed Distributions
Example of Measures of Central Tendency Calculated By Hand
Measures of Central Tendency Using SPSS on the Previous Example Data
Output 
Here is how to report the above output 
What’s Next?

Module 4 Measures of Dispersion 
Dispersion 
       Differences in variability can be described graphically
       Range of a Distribution
       Average Deviation
       Sum of Squares
       Variance
       Standard Deviation
       Example of Measures of Dispersion Calculated By Hand
       Measures of Dispersion Calculation Using SPSS on the Above mentioned Example:
       Output 
       Here is how to report the above output 
       What’s Next?

Module 5 Normal Distribution and Z-Scores 
Normal Distribution 
Z-Scores 
       Formulas 
       Determining Probabilities and Percentile Ranks Using Z-Scores
       The z-table 
       Example 
       Example 
       Example 
       What’s Next?

Module 6 Sampling Distribution of the Mean, Hypothesis Testing, P-Values Versus Critical Values, and Z-Tests
Sampling Distribution of the Mean
       Standard Error of the Mean
       Central Limit Theorem 
Hypothesis Testing
       Hypothesis Testing Steps
       Example of Hypothesis Testing Steps
P-Values Versus Critical Values in Statistical Decision-Making 
       Example of a z-test calculated by hand
       Example in Writing
       What’s Next?

Module 7 Populations, Samples, Estimation and One-Sample t-Tests
Populations and Samples
       Theoretical Population Versus Measured Sample Statistics
       Another Way to Think About It 
       Computations Using Degrees of Freedom
       The t-Distribution and t-Table
One-Sample t-Test 
       Example in Writing
       Another example of how to use the table
       One Sample t-Test Using SPSS on Example 2 
       Output 
       Example in Writing
       What’s Next?

Module 8 Two-Sample t-Tests
Independent Samples t-Tests
       Example of an independent samples t-test calculated by hand
       Independent t-test using SPSS on the abovementioned example 
       Output 
       Group Statistics Table 
       Independent Samples Test Table
       Example in Writing
       One-Tailed and Two-Tailed Tests of Significance
       Let’s consider this example
       A note about the sign of your obtained t-value
Dependent Samples t-Test (Paired Samples/Repeated Measures)
       Formulas 
       Example of a dependent samples t-test calculated by hand
       Example of a dependent t-test using SPSS on the abovementioned example
       Output 
       Example in Writing
       What’s Next?

Module 9 One-Way Analysis of Variance
One-Way Between-Groups Analysis of Variance 
       The Property of Additivity 
       Between-Subjects Analysis of Variance Computational Formula 
       Sum of Squares
       Mean Square 
       All ANOVAs are presented in a summary table
       Example of a BG one-way ANOVA calculated by hand 
       The F-Table
       Example in Writing
       Post Hoc Test/Fisher Least Significant Difference (LSD)
       One-way BG ANOVA using SPSS on the abovementioned example
       Output 
One-Way Repeated Measures Analysis of Variance 
       Repeated Measures Analysis of Variance—Computational Formula 
              Sum of Squares
       Degrees of Freedom
       Mean Squares (Variance)
       F-Value
       Example of an RM one-way ANOVA calculated by hand
       Summary Table 
       Post Hoc Test/Fisher Least Significant Difference 
       Example of one-way RM ANOVA using SPSS on the abovementioned example
       Output 
       Comparison of Between Groups and Repeated Measures Analysis of Variance 
       Example in Writing
       What’s Next?

Module 10 Two-Way Analysis of Variance
Two-Way ANOVA Example Calculated By Hand
Two-Way ANOVA Summary Table 
Two-Way ANOVA Summary Table 
Two-Way ANOVA Summary Table 
Fisher Least Significant Difference Post Hoc Tests
Table of Means
Two-Way ANOVA Using SPSS on the Abovementioned Example
Output 
Estimated Marginal Means
Example in Writing
What’s Next

Module 11 Correlation and Linear Regression
Correlation 
       Formulas 
       Cross Products (Computational Formula)
       Pearson (Computational Formula)
       Sums of Squares
Regression
       Standard Error of the Estimate (Syx)
       Example 1: Pearson r Correlation Calculated By Hand 
       Example in Writing
       Linear Regression on the Abovementioned Example 
       Pearson r Correlation Using SPSS for Example 1
       Output 
       Regression Using IBM SPSS Statistics Software (SPSS) on the Abovementioned Example:
       Output 
       Regression
       Example 2: Calculated By Hand
       Pearson r Correlation 
       Example in Writing
       Linear Regression 
       What Y (Twin 2) score could you predict from an X score (Twin 1) of 8?
       Example in Writing
Spearman Rank Order Correlation Coefficient (rs) 
       Spearman Rank Correlation (Example 3) Calculated By Hand
       Example in Writing
       Spearman Rank Correlation Using SPSS on Example 3 
       What’s Next?

Module 12 Chi-Square
Goodness of Fit Test 
Formula 
Example Calculated by Hand—Goodness of Fit Test 
Goodness of Fit Chi-Square Using SPSS on Abovementioned Example 1 
Output 
Example in Writing
Test of Association/Contingency 
Example of Test of Association Calculated By Hand
Test of Association Chi-Square Using SPSS on Example 1
Output 
Example in Writing
What’s Next?

Module 13 Effect Size and Power 
Effect Size
       Cohen’s d 
       Pearson r 
       Pearson r2—The Coefficient of Determination 
Health-Related Indices of Effect Size
       Specificity and Sensitivity
Statistical Power

Module 14 The Unity of Statistical Indices

Conclusion 

Appendix 1: Statistical Tables

Appendix 2: Practice Problems

References

Index

Rowlett. Maria

Maria received her M.A. in Consumer-Industrial Research from Cleveland State University in 1993. She has taught undergraduate and graduate courses in Statistics, Research Methods, and Evaluating Psychological Research at Cleveland State University for more than 15 years. She frequently receives the highest student course evaluations in the Psychology Department for her teaching. 

Maria is also a highly experienced consultant in the area of survey/questionnaire construction, statistical analysis, research design and interpretation, as well as report writing. Maria has been involved in project-based data coding, analysis and summarization for presentation to clients, and report writing for a Midwest-based research company serving for-profit and not-for-profit companies. 

In addition to her own publications, Maria has advised and supervised many students in the completion of research projects, journal articles, theses, and dissertations.

Steve Slane

Steve received his Ph.D. in Social Psychology from the University of Nebraska in 1975. He is currently Professor Emeritus and former Chair of the Psychology Department, Director of the Consumer-Industrial Research Program, as well as the School of Health Sciences at Cleveland State University. 

Steve has more than 50 years of experience teaching statistics and research design as well as thesis and dissertation supervision. His private consultation experience includes focus group moderation, data analysis, and report writing, especially for qualitative data. He also consults in the areas of organizational development and diversity and inclusion. 

Steve has published numerous articles spanning areas such as 16th century British literature, genetics, outcomes of bariatric surgery, job satisfaction, and occupational and physical therapy. 

Steve is also a former editor of the Journal of Psychological Practice and has held numerous administrative posts at Cleveland State University.

Succeed at statistics with this brief, easy to understand, comprehensive guide.

  • Brief, about 200 pages

  • Comprehensive. Includes all statistics normally included in an undergraduate introductory statistics course.

  • Student focused, informal style. Written as if having a conversation with a student.

  • Emphasis on the conceptual structure of the formula, what the formula does rather than being an obscure set of symbols. For example, a t-test is simply an index that weighs the distance between two means by the variability of scores.

  • Biographical synopsis (on selected modules) of a person(s) responsible for the development of the statistic, called “Pioneers in Statistics.”

  • Complete step-by-step example of each statistic calculated by hand, and by SPSS.

  • Emphasis on reducing student math anxiety by using simple, whole numbers, enabling easy calculation.

  • Clear, easy to understand interpretation of each statistic.

  • Practical examples of the way the result of the statistic is written in an American Psychological Association (APA) manuscript.

  • Extended, easy to understand discussion of effect size, power, and degrees of freedom. Both a conceptual and a mathematical proof is provided for degrees of freedom, the only text to do this, to our knowledge.

  • Ancillary materials include PowerPoint slides, and a problem set with fully worked out answers.

To the student
Acknowledgments

Module 1 Statistical Preliminaries 
Basic Statistical Concepts
       Independent and Dependent Variables
       Samples and Populations
              Theoretical populations
              Measured populations
              Samples
       Types of Measurement
              Nominal scales
              Ordinal scales
              Interval scales
              Ratio scales 
       Summation 
       Descriptive and Inferential Statistics 
Introduction to IBM SPSS Statistics Software (SPSS)
       The Structure of an SPSS Dataset
              Data View
              Variable View
              The Toolbar
       What’s Next?

Module 2 Graphing
Graphing Data
       Let’s consider this example
       Bar Graph
       Bar Histogram
       Frequency Polygon 
       Line Graph 
       Common Mistakes
       How to create charts using IBM SPSS statistics software (SPSS) 
              Bar Chart
              Pie Chart
              Output 
              Histogram
              Output 
       Line Graph 
              Output 
       What’s Next?

Module 3 Measures of Central Tendency 
Properties of the Mean
Example of Normal and Skewed Distributions
Example of Measures of Central Tendency Calculated By Hand
Measures of Central Tendency Using SPSS on the Previous Example Data
Output 
Here is how to report the above output 
What’s Next?

Module 4 Measures of Dispersion 
Dispersion 
       Differences in variability can be described graphically
       Range of a Distribution
       Average Deviation
       Sum of Squares
       Variance
       Standard Deviation
       Example of Measures of Dispersion Calculated By Hand
       Measures of Dispersion Calculation Using SPSS on the Above mentioned Example:
       Output 
       Here is how to report the above output 
       What’s Next?

Module 5 Normal Distribution and Z-Scores 
Normal Distribution 
Z-Scores 
       Formulas 
       Determining Probabilities and Percentile Ranks Using Z-Scores
       The z-table 
       Example 
       Example 
       Example 
       What’s Next?

Module 6 Sampling Distribution of the Mean, Hypothesis Testing, P-Values Versus Critical Values, and Z-Tests
Sampling Distribution of the Mean
       Standard Error of the Mean
       Central Limit Theorem 
Hypothesis Testing
       Hypothesis Testing Steps
       Example of Hypothesis Testing Steps
P-Values Versus Critical Values in Statistical Decision-Making 
       Example of a z-test calculated by hand
       Example in Writing
       What’s Next?

Module 7 Populations, Samples, Estimation and One-Sample t-Tests
Populations and Samples
       Theoretical Population Versus Measured Sample Statistics
       Another Way to Think About It 
       Computations Using Degrees of Freedom
       The t-Distribution and t-Table
One-Sample t-Test 
       Example in Writing
       Another example of how to use the table
       One Sample t-Test Using SPSS on Example 2 
       Output 
       Example in Writing
       What’s Next?

Module 8 Two-Sample t-Tests
Independent Samples t-Tests
       Example of an independent samples t-test calculated by hand
       Independent t-test using SPSS on the abovementioned example 
       Output 
       Group Statistics Table 
       Independent Samples Test Table
       Example in Writing
       One-Tailed and Two-Tailed Tests of Significance
       Let’s consider this example
       A note about the sign of your obtained t-value
Dependent Samples t-Test (Paired Samples/Repeated Measures)
       Formulas 
       Example of a dependent samples t-test calculated by hand
       Example of a dependent t-test using SPSS on the abovementioned example
       Output 
       Example in Writing
       What’s Next?

Module 9 One-Way Analysis of Variance
One-Way Between-Groups Analysis of Variance 
       The Property of Additivity 
       Between-Subjects Analysis of Variance Computational Formula 
       Sum of Squares
       Mean Square 
       All ANOVAs are presented in a summary table
       Example of a BG one-way ANOVA calculated by hand 
       The F-Table
       Example in Writing
       Post Hoc Test/Fisher Least Significant Difference (LSD)
       One-way BG ANOVA using SPSS on the abovementioned example
       Output 
One-Way Repeated Measures Analysis of Variance 
       Repeated Measures Analysis of Variance—Computational Formula 
              Sum of Squares
       Degrees of Freedom
       Mean Squares (Variance)
       F-Value
       Example of an RM one-way ANOVA calculated by hand
       Summary Table 
       Post Hoc Test/Fisher Least Significant Difference 
       Example of one-way RM ANOVA using SPSS on the abovementioned example
       Output 
       Comparison of Between Groups and Repeated Measures Analysis of Variance 
       Example in Writing
       What’s Next?

Module 10 Two-Way Analysis of Variance
Two-Way ANOVA Example Calculated By Hand
Two-Way ANOVA Summary Table 
Two-Way ANOVA Summary Table 
Two-Way ANOVA Summary Table 
Fisher Least Significant Difference Post Hoc Tests
Table of Means
Two-Way ANOVA Using SPSS on the Abovementioned Example
Output 
Estimated Marginal Means
Example in Writing
What’s Next

Module 11 Correlation and Linear Regression
Correlation 
       Formulas 
       Cross Products (Computational Formula)
       Pearson (Computational Formula)
       Sums of Squares
Regression
       Standard Error of the Estimate (Syx)
       Example 1: Pearson r Correlation Calculated By Hand 
       Example in Writing
       Linear Regression on the Abovementioned Example 
       Pearson r Correlation Using SPSS for Example 1
       Output 
       Regression Using IBM SPSS Statistics Software (SPSS) on the Abovementioned Example:
       Output 
       Regression
       Example 2: Calculated By Hand
       Pearson r Correlation 
       Example in Writing
       Linear Regression 
       What Y (Twin 2) score could you predict from an X score (Twin 1) of 8?
       Example in Writing
Spearman Rank Order Correlation Coefficient (rs) 
       Spearman Rank Correlation (Example 3) Calculated By Hand
       Example in Writing
       Spearman Rank Correlation Using SPSS on Example 3 
       What’s Next?

Module 12 Chi-Square
Goodness of Fit Test 
Formula 
Example Calculated by Hand—Goodness of Fit Test 
Goodness of Fit Chi-Square Using SPSS on Abovementioned Example 1 
Output 
Example in Writing
Test of Association/Contingency 
Example of Test of Association Calculated By Hand
Test of Association Chi-Square Using SPSS on Example 1
Output 
Example in Writing
What’s Next?

Module 13 Effect Size and Power 
Effect Size
       Cohen’s d 
       Pearson r 
       Pearson r2—The Coefficient of Determination 
Health-Related Indices of Effect Size
       Specificity and Sensitivity
Statistical Power

Module 14 The Unity of Statistical Indices

Conclusion 

Appendix 1: Statistical Tables

Appendix 2: Practice Problems

References

Index

Rowlett. Maria

Maria received her M.A. in Consumer-Industrial Research from Cleveland State University in 1993. She has taught undergraduate and graduate courses in Statistics, Research Methods, and Evaluating Psychological Research at Cleveland State University for more than 15 years. She frequently receives the highest student course evaluations in the Psychology Department for her teaching. 

Maria is also a highly experienced consultant in the area of survey/questionnaire construction, statistical analysis, research design and interpretation, as well as report writing. Maria has been involved in project-based data coding, analysis and summarization for presentation to clients, and report writing for a Midwest-based research company serving for-profit and not-for-profit companies. 

In addition to her own publications, Maria has advised and supervised many students in the completion of research projects, journal articles, theses, and dissertations.

Steve Slane

Steve received his Ph.D. in Social Psychology from the University of Nebraska in 1975. He is currently Professor Emeritus and former Chair of the Psychology Department, Director of the Consumer-Industrial Research Program, as well as the School of Health Sciences at Cleveland State University. 

Steve has more than 50 years of experience teaching statistics and research design as well as thesis and dissertation supervision. His private consultation experience includes focus group moderation, data analysis, and report writing, especially for qualitative data. He also consults in the areas of organizational development and diversity and inclusion. 

Steve has published numerous articles spanning areas such as 16th century British literature, genetics, outcomes of bariatric surgery, job satisfaction, and occupational and physical therapy. 

Steve is also a former editor of the Journal of Psychological Practice and has held numerous administrative posts at Cleveland State University.