A Comprehensive but Brief Introduction to Statistics in the Behavioral Sciences
Author(s): Rowlett. Maria , Steve Slane
Edition: 1
Copyright: 2024
Pages: 220
Edition: 1
Copyright: 2024
Pages: 221
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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
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 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
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 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.