Robin K Henson
Biographic Data
| ID | 391520 |
|---|---|
| NAME | Robin K Henson |
| GIVEN NAMES | Robin K |
| FAMILY NAME | Henson |
| SIGNATURE | HENSON R K |
| AFFILIATIONS | University of North Texas |
| ORCID | 0000-0002-0656-585X |
| VERIFIED | Yes |
| TOTAL WORKS | 24 |
| TOTAL CITATIONS | 93 |
| AUTHOR COUNT | 24 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 5 |
Regression Discontinuity Designs in Counseling Intervention Research and Program Evaluation: A Primer on a Strategy for Making Causal Inferences
The move toward evidence-based practice within counseling intervention research continues to grow. However, there are many practical barriers to implementing research designs that can support causal claims regarding counseling intervention efficacy. Overcoming these hurdles serves a larger goal of improving client care and further legitimizing the counseling profession. This article outlines an underused research design called regression disconti…
Effects of Vicarious Racism Exposure via the Media on College Students of Color: Exploring Affect and Substance Use
Given the potential negative effects of vicarious racism, we sought to examine the impact of vicarious racism via the media on college students of color. Using a sample of 217 college students of color, we analyzed positive and negative affect and craving for alcohol and marijuana before and after exposure to media stimuli. Split‐plot analysis of variance results revealed a statistically significant interaction effect between time and group for n…
Confirming the Constructs of Adlerian Personality Priority Assessment
A split-sample cross-validation confirmatory factor analysis (N = 1,210) confirmed the 4-factor structure of the Adlerian Personality Priority Assessment (APPA) with 2 distinct subsamples. Discriminant validity, prevalence rates of priorities, and preliminary group norms are reported
Reliability Generalization of the Motivated Strategies for Learning Questionnaire: A Meta-Analytic View of Reliability Estimates
A reliability generalization meta-analysis was performed to explore the relationship between study factors and levels of alpha reliability for the 15 subscales of the Motivated Strategies for Learning Questionnaire (MSLQ). The MSLQ has been widely adapted over the past 25 years to investigate the role of motivation and strategies in learning, primarily at the postsecondary level. A literature search from the years 1991 to 2015 yielded 295 peer-re…
Reliability
Reliability refers, at a general level, to consistency of measurement. Consistency can be conceptualized somewhat differently for different forms of reliability estimation, but in all cases reliability is focused on whether a measurement yields consistent results. Such consistency is critical to research practice, where variables must be operationalized and measured in some fashion. For example, the measurement of socioeconomic status can be oper…
Emotion Regulation and Sex Addiction among College Students
Revisiting Interpretation of Canonical Correlation Analysis: A Tutorial and Demonstration of Canonical Commonality Analysis
In the face of multicollinearity, researchers face challenges interpreting canonical correlation analysis (CCA) results. Although standardized function and structure coefficients provide insight into the canonical variates produced, they fall short when researchers want to fully report canonical effects. This article revisits the interpretation of CCA results, providing a tutorial and demonstrating canonical commonalty analysis. Commonality analy…
Methodology in Our Education Research Culture: Toward a Stronger Collective Quantitative Proficiency
How doctoral programs train future researchers in quantitative methods has important implications for the quality of scientifically based research in education. The purpose of this article, therefore, is to examine how quantitative methods are used in the literature and taught in doctoral programs. Evidence points to deficiencies in quantitative training and application in several areas: (a) methodological reporting problems, (b) researcher misco…
Correlation
Correlation refers to the relationship between two or more variables. Many different forms of correlation exist, but they all reflect a quantitative, statistical means for describing relationships. There are many so‐called univariate (i.e., one variable) statistics which are useful for describing single distributions of scores, including the mean, median, variance, and standard deviation. In contrast, a correlation statistic, as a measure of rela…
Use of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice
Given the proliferation of factor analysis applications in the literature, the present article examines the use of factor analysis in current published research across four psychological journals. Notwithstanding ease of analysis due to computers, the appropriate use of factor analysis requires a series of thoughtful researcher judgments. These judgments directly affect results and interpretations. The authors examine across studies (a) the decis…
A Reliability Generalization Study of the Self-Description Questionnaire
The use of reliability generalization methodology promises to, among other things, inform researchers about the importance of reporting reliability coefficients and their use in result interpretation. This study presents results from a reliability generalization study of the Self-Description Questionnaire (SDQ). The average score reliabilities produced by the instrument as well as sample and instrument characteristics that may affect those reliab…
Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research
Effect sizes are critical to result interpretation and synthesis across studies. Although statistical significance testing has historically dominated the determination of result importance, modern views emphasize the role of effect sizes and confidence intervals. This article accessibly discusses how to calculate and interpret the effect sizes that counseling psychologists use most frequently. To provide context, the author presents a brief histo…
Conducting and Interpreting Canonical Correlation Analysis in Personality Research: A User-Friendly Primer
The purpose of this article is to reduce potential statistical barriers and open doors to canonical correlation analysis (CCA) for applied behavioral scientists and personality researchers. CCA was selected for discussion, as it represents the highest level of the general linear model (GLM) and can be rather easily conceptualized as a method closely linked with the more widely understood Pearson r correlation coefficient. An understanding of CCA …
Sample Homogeneity and Coefficient Alpha: Comment on Mil and Alkhateeb's Reliability Generalization Study and a Theoretical Clarification
ammonsscientific.com is your first and best source for all of the information you’re looking for. From general topics to more of what you would expect to find here, ammonsscientific.com has it all. We hope you find what you are searching for
Reliability Generalization: Moving Toward Improved Understanding and Use of Score Reliability
Reliability generalization (RG) is a measurement meta-analytic method used to explore the variability in score reliability estimates and to characterize the possible sources of this variance. This article briefly summarizes some RG considerations. Included is a description of how reliability confidence intervals might be portrayed graphically. The article includes tabulations across various RG studies, including how frequently authors (a) report …
Variability and Prediction of Measurement Error in Kolb’s Learning Style Inventory Scores a Reliability Generalization Study
The Learning Style Inventory (LSI) is a commonly employed measure of learning styles based on Kolb’s Experiential Learning Model. Nevertheless, the psychometric soundness of LSI scores has historically been critiqued. The present article extends this critique by conducting a reliability generalization study across studies and versions of the test. Results indicated that internal consistency and test-retest reliabilities for LSI scores fluctuate c…
Expanding Reliability Generalization Methods With KR-21 Estimates: An RG Study of the Coopersmith Self-Esteem Inventory
A reliability generalization (RG) study was conducted on the Coopersmith Self-Esteem Inventory (CSEI) to (a) examine the variability of reliability estimates across studies and (b) identify study characteristics that may predict this variability. Typical RG methodology was extended by estimating internal consistency reliability with KR-21 in cases when authors did not report reliability for their obtained scores. Accordingly, the present study in…
Variability and Prediction of Measurement Error in Kolb's Learning Style Inventory Scores: A Reliability Generalization Study
The Learning Style Inventory (LSI) is a commonly employed measure of learning styles based on Kolb’s Experiential Learning Model. Nevertheless, the psychometric soundness of LSI scores has historically been critiqued. The present article extends this critique by conducting a reliability generalization study across studies and versions of the test. Results indicated that internal consistency and test-retest reliabilities for LSI scores fluctuate c…
Reliability Generalization: Moving toward Improved Understanding and Use of Score Reliability
Reliability generalization (RG) is a measurement meta-analytic method used to explore the variability in score reliability estimates and to characterize the possible sources of this variance. This article briefly summarizes some RG considerations. Included is a description of how reliability confidence intervals might be portrayed graphically. The article includes tabulations across various RG studies, including how frequently authors (a) report …
Characterizing Measurement Error in Scores Across Studies: Some Recommendations for Conducting “Reliability Generalization” Studies
T. Vacha-Haase (1998) proposed her “reliability generalization” methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administrations. The present article provides recommendations on how to conduct these studies
Measurement Error of Scores on the Mathematics Anxiety Rating Scale across Studies
The Mathematics Anxiety Rating Scale (MARS) was submitted to a reliability generalization analysis (RG) to characterize the variability of measurement error in MARS scores across administrations and identify possible study characteristics that are predictive of score reliability variations. In general, the MARS and its variants yielded scores with strong internal consistency and test-retest reliability estimates, although variation was observed. …
A Reliability Generalization Study of the Teacher Efficacy Scale and Related Instruments
Teacher efficacy has proven to be an important variable in teacher effectiveness. It is consistently related to positive teaching behaviors and student outcomes. However, the measurement of this construct is the subject of current debate, which includes critical examination of predominant instruments used to assess teacher efficacy. The present study extends this critical evaluation and examines sources of measurement error variance in the Teache…
Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha
Although often ignored, reliability is critical when interpreting study effects and test results. Accordingly, this article focuses on the most commonly used estimate of reliability, internal consistency coefficients, with emphasis on coefficient alpha. An interpretive framework is provided for applied researchers and others seeking a conceptual understanding of these estimates
The effects of participation in teacher research on teacher efficacy
Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha
Although often ignored, reliability is critical when interpreting study effects and test results. Accordingly, this article focuses on the most commonly used estimate of reliability, internal consistency coefficients, with emphasis on coefficient alpha. An interpretive framework is provided for applied researchers and others seeking a conceptual understanding of these estimates
Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research
Effect sizes are critical to result interpretation and synthesis across studies. Although statistical significance testing has historically dominated the determination of result importance, modern views emphasize the role of effect sizes and confidence intervals. This article accessibly discusses how to calculate and interpret the effect sizes that counseling psychologists use most frequently. To provide context, the author presents a brief histo…
The effects of participation in teacher research on teacher efficacy
Characterizing Measurement Error in Scores Across Studies: Some Recommendations for Conducting “Reliability Generalization” Studies
T. Vacha-Haase (1998) proposed her “reliability generalization” methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administrations. The present article provides recommendations on how to conduct these studies
Methodology in Our Education Research Culture: Toward a Stronger Collective Quantitative Proficiency
How doctoral programs train future researchers in quantitative methods has important implications for the quality of scientifically based research in education. The purpose of this article, therefore, is to examine how quantitative methods are used in the literature and taught in doctoral programs. Evidence points to deficiencies in quantitative training and application in several areas: (a) methodological reporting problems, (b) researcher misco…
Measurement Error of Scores on the Mathematics Anxiety Rating Scale across Studies
The Mathematics Anxiety Rating Scale (MARS) was submitted to a reliability generalization analysis (RG) to characterize the variability of measurement error in MARS scores across administrations and identify possible study characteristics that are predictive of score reliability variations. In general, the MARS and its variants yielded scores with strong internal consistency and test-retest reliability estimates, although variation was observed. …
A Reliability Generalization Study of the Teacher Efficacy Scale and Related Instruments
Teacher efficacy has proven to be an important variable in teacher effectiveness. It is consistently related to positive teaching behaviors and student outcomes. However, the measurement of this construct is the subject of current debate, which includes critical examination of predominant instruments used to assess teacher efficacy. The present study extends this critical evaluation and examines sources of measurement error variance in the Teache…
Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha
Although often ignored, reliability is critical when interpreting study effects and test results. Accordingly, this article focuses on the most commonly used estimate of reliability, internal consistency coefficients, with emphasis on coefficient alpha. An interpretive framework is provided for applied researchers and others seeking a conceptual understanding of these estimates
The effects of participation in teacher research on teacher efficacy
Reliability Generalization: Moving Toward Improved Understanding and Use of Score Reliability
Reliability generalization (RG) is a measurement meta-analytic method used to explore the variability in score reliability estimates and to characterize the possible sources of this variance. This article briefly summarizes some RG considerations. Included is a description of how reliability confidence intervals might be portrayed graphically. The article includes tabulations across various RG studies, including how frequently authors (a) report …
Variability and Prediction of Measurement Error in Kolb’s Learning Style Inventory Scores a Reliability Generalization Study
The Learning Style Inventory (LSI) is a commonly employed measure of learning styles based on Kolb’s Experiential Learning Model. Nevertheless, the psychometric soundness of LSI scores has historically been critiqued. The present article extends this critique by conducting a reliability generalization study across studies and versions of the test. Results indicated that internal consistency and test-retest reliabilities for LSI scores fluctuate c…
Expanding Reliability Generalization Methods With KR-21 Estimates: An RG Study of the Coopersmith Self-Esteem Inventory
A reliability generalization (RG) study was conducted on the Coopersmith Self-Esteem Inventory (CSEI) to (a) examine the variability of reliability estimates across studies and (b) identify study characteristics that may predict this variability. Typical RG methodology was extended by estimating internal consistency reliability with KR-21 in cases when authors did not report reliability for their obtained scores. Accordingly, the present study in…
Variability and Prediction of Measurement Error in Kolb's Learning Style Inventory Scores: A Reliability Generalization Study
The Learning Style Inventory (LSI) is a commonly employed measure of learning styles based on Kolb’s Experiential Learning Model. Nevertheless, the psychometric soundness of LSI scores has historically been critiqued. The present article extends this critique by conducting a reliability generalization study across studies and versions of the test. Results indicated that internal consistency and test-retest reliabilities for LSI scores fluctuate c…
Reliability Generalization: Moving toward Improved Understanding and Use of Score Reliability
Reliability generalization (RG) is a measurement meta-analytic method used to explore the variability in score reliability estimates and to characterize the possible sources of this variance. This article briefly summarizes some RG considerations. Included is a description of how reliability confidence intervals might be portrayed graphically. The article includes tabulations across various RG studies, including how frequently authors (a) report …
Characterizing Measurement Error in Scores Across Studies: Some Recommendations for Conducting “Reliability Generalization” Studies
T. Vacha-Haase (1998) proposed her “reliability generalization” methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administrations. The present article provides recommendations on how to conduct these studies
Conducting and Interpreting Canonical Correlation Analysis in Personality Research: A User-Friendly Primer
The purpose of this article is to reduce potential statistical barriers and open doors to canonical correlation analysis (CCA) for applied behavioral scientists and personality researchers. CCA was selected for discussion, as it represents the highest level of the general linear model (GLM) and can be rather easily conceptualized as a method closely linked with the more widely understood Pearson r correlation coefficient. An understanding of CCA …
Sample Homogeneity and Coefficient Alpha: Comment on Mil and Alkhateeb's Reliability Generalization Study and a Theoretical Clarification
ammonsscientific.com is your first and best source for all of the information you’re looking for. From general topics to more of what you would expect to find here, ammonsscientific.com has it all. We hope you find what you are searching for
Use of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice
Given the proliferation of factor analysis applications in the literature, the present article examines the use of factor analysis in current published research across four psychological journals. Notwithstanding ease of analysis due to computers, the appropriate use of factor analysis requires a series of thoughtful researcher judgments. These judgments directly affect results and interpretations. The authors examine across studies (a) the decis…
A Reliability Generalization Study of the Self-Description Questionnaire
The use of reliability generalization methodology promises to, among other things, inform researchers about the importance of reporting reliability coefficients and their use in result interpretation. This study presents results from a reliability generalization study of the Self-Description Questionnaire (SDQ). The average score reliabilities produced by the instrument as well as sample and instrument characteristics that may affect those reliab…
Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research
Effect sizes are critical to result interpretation and synthesis across studies. Although statistical significance testing has historically dominated the determination of result importance, modern views emphasize the role of effect sizes and confidence intervals. This article accessibly discusses how to calculate and interpret the effect sizes that counseling psychologists use most frequently. To provide context, the author presents a brief histo…
Correlation
Correlation refers to the relationship between two or more variables. Many different forms of correlation exist, but they all reflect a quantitative, statistical means for describing relationships. There are many so‐called univariate (i.e., one variable) statistics which are useful for describing single distributions of scores, including the mean, median, variance, and standard deviation. In contrast, a correlation statistic, as a measure of rela…
Revisiting Interpretation of Canonical Correlation Analysis: A Tutorial and Demonstration of Canonical Commonality Analysis
In the face of multicollinearity, researchers face challenges interpreting canonical correlation analysis (CCA) results. Although standardized function and structure coefficients provide insight into the canonical variates produced, they fall short when researchers want to fully report canonical effects. This article revisits the interpretation of CCA results, providing a tutorial and demonstrating canonical commonalty analysis. Commonality analy…
Methodology in Our Education Research Culture: Toward a Stronger Collective Quantitative Proficiency
How doctoral programs train future researchers in quantitative methods has important implications for the quality of scientifically based research in education. The purpose of this article, therefore, is to examine how quantitative methods are used in the literature and taught in doctoral programs. Evidence points to deficiencies in quantitative training and application in several areas: (a) methodological reporting problems, (b) researcher misco…
Emotion Regulation and Sex Addiction among College Students
Reliability
Reliability refers, at a general level, to consistency of measurement. Consistency can be conceptualized somewhat differently for different forms of reliability estimation, but in all cases reliability is focused on whether a measurement yields consistent results. Such consistency is critical to research practice, where variables must be operationalized and measured in some fashion. For example, the measurement of socioeconomic status can be oper…
Reliability Generalization of the Motivated Strategies for Learning Questionnaire: A Meta-Analytic View of Reliability Estimates
A reliability generalization meta-analysis was performed to explore the relationship between study factors and levels of alpha reliability for the 15 subscales of the Motivated Strategies for Learning Questionnaire (MSLQ). The MSLQ has been widely adapted over the past 25 years to investigate the role of motivation and strategies in learning, primarily at the postsecondary level. A literature search from the years 1991 to 2015 yielded 295 peer-re…
Confirming the Constructs of Adlerian Personality Priority Assessment
A split-sample cross-validation confirmatory factor analysis (N = 1,210) confirmed the 4-factor structure of the Adlerian Personality Priority Assessment (APPA) with 2 distinct subsamples. Discriminant validity, prevalence rates of priorities, and preliminary group norms are reported
Effects of Vicarious Racism Exposure via the Media on College Students of Color: Exploring Affect and Substance Use
Given the potential negative effects of vicarious racism, we sought to examine the impact of vicarious racism via the media on college students of color. Using a sample of 217 college students of color, we analyzed positive and negative affect and craving for alcohol and marijuana before and after exposure to media stimuli. Split‐plot analysis of variance results revealed a statistically significant interaction effect between time and group for n…
Regression Discontinuity Designs in Counseling Intervention Research and Program Evaluation: A Primer on a Strategy for Making Causal Inferences
The move toward evidence-based practice within counseling intervention research continues to grow. However, there are many practical barriers to implementing research designs that can support causal claims regarding counseling intervention efficacy. Overcoming these hurdles serves a larger goal of improving client care and further legitimizing the counseling profession. This article outlines an underused research design called regression disconti…
Psychology (21 works) · Mathematics (18 works) · Statistics (18 works) · Computer Science (14 works) · Clinical Psychology (11 works) · Generalization (11 works) · Psychometrics (10 works) · Psychometric Methodologies and Testing (9 works) · Engineering (8 works) · Reliability (semiconductor) (8 works)