Nancy L Leech
Datos Biográficos
| ID | 301608 |
|---|---|
| NOMBRE | Nancy L Leech |
| NOMBRES | Nancy L |
| APELLIDO | Leech |
| FIRMA | LEECH N L |
| AFILIACIONES | University of Colorado Denver |
| ORCID | 0000-0002-3386-6930 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 35 |
| TOTAL DE CITAS | 572 |
| TOTAL COMO AUTOR | 35 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2003 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 11 |
Validity in Mixed Methods Research
Validity is an important consideration in all research studies, but it is especially important for mixed methods research studies. There are not many frameworks or guidance for researchers on assessing validity. This article presents nine available frameworks for understanding validity in mixed methods research. Hopefully this information will assist researchers in better understanding and using the concept when conducting mixed methods studies.
In their own words
The purpose of this study was to hear from teachers in the United States about the circumstances and experiences that have led them to leave or are leading them to consider leaving the profession. This was a concurrent, partially mixed, qualitative dominant mixed methods study with online surveys collected from 1429 current teachers considering leaving and former teachers who have already left the profession. Respondents reported most commonly th…
What keeps faculty members from schools of education in higher education settings
The purpose of this study is to expand our knowledge of how academic faculty members in schools of education view their careers by exploring occupational commitment. Ninety-one academic faculty members from 11 U.S. research institutions volunteered to participate in this quantitative survey study. Confirmatory factor analyses were conducted to determine if occupational commitment for this sample was modelled better by four or three factors. Resul…
A Framework for Determining Research Topics and Problems in Mixed Methods Studies
This article addresses the essential yet often overlooked aspect of choosing a research topic in mixed methods research studies. Seven leading mixed methods textbooks are reviewed for insights into choosing a research topic which elucidates the dearth of specific guidance in the existing literature. Utilizing the established 13-step framework proposed by Collins et al. (2006), a new step is proposed that incorporates the process of research topic…
Higher education faculty and job embeddedness
Occupational embeddedness is defined as what keeps people in their current occupation and is believed to have three dimensions: Fit (perceived compatibility), Links (ties to others), and Sacrifice (material or psychological losses upon career change). Occupational embeddedness is highly relevant for academic faculty in higher education, who have a large investment to earn an advanced degree only to enter a highly competitive job market. However, …
Early childhood educators’ provision of remote learning during Covid-19
Understanding Urban High School Students of Color Motivation to Teach
The Factors Influencing Teaching Choice (FIT-Choice) scale was completed by 86 high school students of color prior to beginning a class focusing on motivating students to become interested in teaching. Findings based on confirmatory factor analysis support the underlying FIT-Choice scale factor structure reported in previous studies. Students’ perceptions about teaching and motivations to teach were significantly lower compared with predominantly…
Sampling Designs in Qualitative Research
The purpose of this paper is to provide a typology of sampling designs for qualitative researchers. We introduce the following sampling strategies: (a) parallel sampling designs, which represent a body of sampling strategies that facilitate credible comparisons of two or more different subgroups that are extracted from the same levels of study; (b) nested sampling designs, which are sampling strategies that facilitate credible comparisons of two …
Linking Research Questions to Mixed Methods Data Analysis Procedures 1
The purpose of this paper is to discuss the development of research questions in mixed methods studies. First, we discuss the ways that the goal of the study, the research objective(s), and the research purpose shape the formation of research questions. Second, we compare and contrast quantitative research questions and qualitative research questions. Third, we describe how to write mixed methods research questions, which we define as questions t…
Qualitative Analysis Techniques for the Review of the Literature
In this article, we provide a framework for analyzing and interpreting sources that inform a literature review or, as it is more aptly called, a research synthesis. Specifically, using Leech and Onwuegbuzie’s (2007, 2008) frameworks, we delineate how the following four major source types inform research syntheses: talk, observations, drawings/photographs/videos, and documents. We identify 17 qualitative data analysis techniques that are optimal f…
An Exemplar for Teaching and Learning Qualitative Research
In this article, we outline a course wherein the instructors teach students how to conduct rigorous qualitative research. We discuss the four major distinct, but overlapping, phases of the course: conceptual/theoretical, technical, applied, and emergent scholar. Students write several qualitative reports, called qualitative notebooks, which involve data that they collect (via three different types of interviews), analyze (using nine qualitative a…
Enhancing the Interpretation of Significant Findings
The present essay outlines how mixed methods research can be used to enhance the interpretation of significant findings. First, we define what we mean by significance in educational evaluation research. With regard to quantitative-based research, we define the four types of significance: statistical significance, practical significance, clinical significance, and economic significance. With respect to qualitative-based research, we define a signi…
Change in classification level and the effects on research productivity and merit scores for faculty in a school of education
In this article we present results of an empirical study of the relationship between research productivity and research-related merit ratings over a 10-year period for tenured and tenure-track faculty in a school of education. The purpose of the study was to assess change in faculty productivity as a result of the institution's change in the Carnegie classification system. Results show that higher research expectations affected the productivity l…
Collecting Qualitative Data for Social Network Analysis and Data Mining
Innovative Data Collection Strategies in Qualitative Research
This article provides an innovative meta-framework comprising strategies designed to guide qualitative data collection in the 21st century. We present a meta-framework comprising strategies for collecting data from interviews, focus groups, observations, and documents/material culture. We present a template for collecting nonverbal data during interviews and discuss the concept of debriefing the interviewer. We identify types of data that can be …
Validity
For applied linguistics researchers, validity is an important concept to consider and assess in all research studies.
Ganas
The disparity between the educational attainment of Mexican heritage and White individuals illustrate a need for research on factors associated with the high educational attainment of some immigrant and first-generation students of Mexican descent. Using autobiographies, student interviews, and family interviews as data sources, this article explores one prominent theme that emerged: Students’ desire to honor parental struggle and sacrifice with …
Writing Mixed Research Reports
For many researchers, writing the research report is among the most difficult steps. When writing about a mixed methods research study, researchers have had little guidance for how to structure the manuscript. Thus, the purpose of this article is to present multiple approaches to reporting information from a mixed research study. Recommendations for mixed research writing from the extant literature are delineated, and 12 themes that were identifi…
Beyond constant comparison qualitative data analysis
The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are presented: constant comparison analysis, classical content analysis, key-word-in-context, word count, dom…
Assessing Internal Consistency in Counseling Research
In counseling research, reliability is an extremely important concept. Reliability of scores refers to how consistent scores remain across time, instruments, and conditions. The most commonly reported methods of assessing reliability are Cronbach’s alpha and Kuder-Richardson’s index of reliability, otherwise known as measures of internal consistency. The purpose of this article is to describe internal consistency reliability coefficients, delinea…
Mixed Research in Counseling
The results of a content analysis of the articles published in the leading counseling journal, Journal of Counseling & Development, between 2002 and 2010 are presented. The authors present a brief description of mixed research to encourage counseling researchers to explore mixed research as a viable research tool
A typology of mixed methods research designs
Evaluating Mixed Research Studies
The purpose of this article is to demonstrate application of a new framework, the validation framework (VF), to assist researchers in evaluating mixed research studies. Based on an earlier work by Dellinger and Leech, a description of the VF is delineated. Using the VF, three studies from education, health care, and counseling fields are evaluated. The three mixed research studies differed in design and implementation. Elements of the VF were exa…
A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research
Despite the abundance of published material on conducting focus groups, scant specific information exists on how to analyze focus group data in social science research. Thus, the authors provide a new qualitative framework for collecting and analyzing focus group data. First, they identify types of data that can be collected during focus groups. Second, they identify the qualitative data analysis techniques best suited for analyzing these data. T…
Qualitative data analysis
An array of qualitative data analysis tools
One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven qual…
A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research
Despite the abundance of published material on conducting focus groups, scant specific information exists on how to analyze focus group data in social science research. Thus, the authors provide a new qualitative framework for collecting and analyzing focus group data. First, they identify types of data that can be collected during focus groups. Second, they identify the qualitative data analysis techniques best suited for analyzing these data. T…
On Becoming a Pragmatic Researcher
The last 100 years have witnessed a fervent debate in the USA about quantitative and qualitative research paradigms. Unfortunately, this has led to a great divide between quantitative and qualitative researchers, who often view themselves as in competition with each other. Clearly, this polarization has promoted purists, namely, researchers who restrict themselves exclusively either to quantitative or to qualitative research methods. Mono‐method …
Qualitative Analysis Techniques for the Review of the Literature
In this article, we provide a framework for analyzing and interpreting sources that inform a literature review or, as it is more aptly called, a research synthesis. Specifically, using Leech and Onwuegbuzie’s (2007, 2008) frameworks, we delineate how the following four major source types inform research syntheses: talk, observations, drawings/photographs/videos, and documents. We identify 17 qualitative data analysis techniques that are optimal f…
Interviewing the Interpretive Researcher
In this article the authors outline five types of debriefing and introduce a new type of debriefing, namely, that of debriefing the interpretive researcher. Next they present eight main areas accompanied by example questions to guide the interviewer when debriefing the researcher. They also present five authenticity criteria developed by Guba and Lincoln (1989) and include possible interview questions to document the degree to which the researche…
Toward a Unified Validation Framework in Mixed Methods Research
The primary purpose of this article is to further discussions of validity in mixed methods research by introducing a validation framework to guide thinking about validity in this area. To justify the use of this framework, the authors discuss traditional terminology and validity criteria for quantitative and qualitative research, as well as present recently published validity terminology for mixed methods research. The authors discuss the rationa…
Sampling Designs in Qualitative Research
The purpose of this paper is to provide a typology of sampling designs for qualitative researchers. We introduce the following sampling strategies: (a) parallel sampling designs, which represent a body of sampling strategies that facilitate credible comparisons of two or more different subgroups that are extracted from the same levels of study; (b) nested sampling designs, which are sampling strategies that facilitate credible comparisons of two …
Enhancing the Interpretation of Significant Findings
The present essay outlines how mixed methods research can be used to enhance the interpretation of significant findings. First, we define what we mean by significance in educational evaluation research. With regard to quantitative-based research, we define the four types of significance: statistical significance, practical significance, clinical significance, and economic significance. With respect to qualitative-based research, we define a signi…
Linking Research Questions to Mixed Methods Data Analysis Procedures 1
The purpose of this paper is to discuss the development of research questions in mixed methods studies. First, we discuss the ways that the goal of the study, the research objective(s), and the research purpose shape the formation of research questions. Second, we compare and contrast quantitative research questions and qualitative research questions. Third, we describe how to write mixed methods research questions, which we define as questions t…
Ganas
The disparity between the educational attainment of Mexican heritage and White individuals illustrate a need for research on factors associated with the high educational attainment of some immigrant and first-generation students of Mexican descent. Using autobiographies, student interviews, and family interviews as data sources, this article explores one prominent theme that emerged: Students’ desire to honor parental struggle and sacrifice with …
Evaluating Mixed Research Studies
The purpose of this article is to demonstrate application of a new framework, the validation framework (VF), to assist researchers in evaluating mixed research studies. Based on an earlier work by Dellinger and Leech, a description of the VF is delineated. Using the VF, three studies from education, health care, and counseling fields are evaluated. The three mixed research studies differed in design and implementation. Elements of the VF were exa…
Innovative Data Collection Strategies in Qualitative Research
This article provides an innovative meta-framework comprising strategies designed to guide qualitative data collection in the 21st century. We present a meta-framework comprising strategies for collecting data from interviews, focus groups, observations, and documents/material culture. We present a template for collecting nonverbal data during interviews and discuss the concept of debriefing the interviewer. We identify types of data that can be …
The Meaning of Validity in the New Standards for Educational and Psychological Testing
The treatment of validity in the newest edition o/Standards for Educational and Psychological Testing (Standards; American Educational Research Association, American Psychological Association, & National Council on Measurement in Education, 1999) is quite different from coverage in earlier editions of the Standards and in most measurement textbooks. The view of validity in the 1999 Standards is discussed, and suggestions for instructors of measur…
An Exemplar for Teaching and Learning Qualitative Research
In this article, we outline a course wherein the instructors teach students how to conduct rigorous qualitative research. We discuss the four major distinct, but overlapping, phases of the course: conceptual/theoretical, technical, applied, and emergent scholar. Students write several qualitative reports, called qualitative notebooks, which involve data that they collect (via three different types of interviews), analyze (using nine qualitative a…
Early childhood educators’ provision of remote learning during Covid-19
Understanding Urban High School Students of Color Motivation to Teach
The Factors Influencing Teaching Choice (FIT-Choice) scale was completed by 86 high school students of color prior to beginning a class focusing on motivating students to become interested in teaching. Findings based on confirmatory factor analysis support the underlying FIT-Choice scale factor structure reported in previous studies. Students’ perceptions about teaching and motivations to teach were significantly lower compared with predominantly…
A Framework for Determining Research Topics and Problems in Mixed Methods Studies
This article addresses the essential yet often overlooked aspect of choosing a research topic in mixed methods research studies. Seven leading mixed methods textbooks are reviewed for insights into choosing a research topic which elucidates the dearth of specific guidance in the existing literature. Utilizing the established 13-step framework proposed by Collins et al. (2006), a new step is proposed that incorporates the process of research topic…
Change in classification level and the effects on research productivity and merit scores for faculty in a school of education
In this article we present results of an empirical study of the relationship between research productivity and research-related merit ratings over a 10-year period for tenured and tenure-track faculty in a school of education. The purpose of the study was to assess change in faculty productivity as a result of the institution's change in the Carnegie classification system. Results show that higher research expectations affected the productivity l…
Writing Mixed Research Reports
For many researchers, writing the research report is among the most difficult steps. When writing about a mixed methods research study, researchers have had little guidance for how to structure the manuscript. Thus, the purpose of this article is to present multiple approaches to reporting information from a mixed research study. Recommendations for mixed research writing from the extant literature are delineated, and 12 themes that were identifi…
Higher education faculty and job embeddedness
Occupational embeddedness is defined as what keeps people in their current occupation and is believed to have three dimensions: Fit (perceived compatibility), Links (ties to others), and Sacrifice (material or psychological losses upon career change). Occupational embeddedness is highly relevant for academic faculty in higher education, who have a large investment to earn an advanced degree only to enter a highly competitive job market. However, …
Assessment in Statistics Courses
The current assessment reform movement in statistics encourages instructors to think more broadly about cognitive measures which assess student learning. In response, statistics instructors have begun incorporating innovative methods of assessment into their courses, the most common of these procedures being authentic assessment, performance assessment, and portfolio assessment. This paper will discuss areas to consider for assessment, problems w…
The Meaning of Validity in the New Standards for Educational and Psychological Testing
The treatment of validity in the newest edition o/Standards for Educational and Psychological Testing (Standards; American Educational Research Association, American Psychological Association, & National Council on Measurement in Education, 1999) is quite different from coverage in earlier editions of the Standards and in most measurement textbooks. The view of validity in the 1999 Standards is discussed, and suggestions for instructors of measur…
On Becoming a Pragmatic Researcher
The last 100 years have witnessed a fervent debate in the USA about quantitative and qualitative research paradigms. Unfortunately, this has led to a great divide between quantitative and qualitative researchers, who often view themselves as in competition with each other. Clearly, this polarization has promoted purists, namely, researchers who restrict themselves exclusively either to quantitative or to qualitative research methods. Mono‐method …
Understanding Correlation
The authors describe and illustrate 6 factors that affect the size of a Pearson correlation: (a) the amount of variability in the data, (b) differences in the shapes of the 2 distributions, (c) lack of linearity, (d) the presence of 1 or more "outliers," (e) characteristics of the sample, and (f) measurement error. Also discussed are ways to determine whether these factors are likely affecting the correlation, as well as ways to estimate the size…
Validity and Qualitative Research
A Call for Qualitative Power Analyses
Toward a Unified Validation Framework in Mixed Methods Research
The primary purpose of this article is to further discussions of validity in mixed methods research by introducing a validation framework to guide thinking about validity in this area. To justify the use of this framework, the authors discuss traditional terminology and validity criteria for quantitative and qualitative research, as well as present recently published validity terminology for mixed methods research. The authors discuss the rationa…
Research and the “Inner Circle”
An array of qualitative data analysis tools
One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven qual…
Qualitative data analysis
Interviewing the Interpretive Researcher
In this article the authors outline five types of debriefing and introduce a new type of debriefing, namely, that of debriefing the interpretive researcher. Next they present eight main areas accompanied by example questions to guide the interviewer when debriefing the researcher. They also present five authenticity criteria developed by Guba and Lincoln (1989) and include possible interview questions to document the degree to which the researche…
A typology of mixed methods research designs
Evaluating Mixed Research Studies
The purpose of this article is to demonstrate application of a new framework, the validation framework (VF), to assist researchers in evaluating mixed research studies. Based on an earlier work by Dellinger and Leech, a description of the VF is delineated. Using the VF, three studies from education, health care, and counseling fields are evaluated. The three mixed research studies differed in design and implementation. Elements of the VF were exa…
A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research
Despite the abundance of published material on conducting focus groups, scant specific information exists on how to analyze focus group data in social science research. Thus, the authors provide a new qualitative framework for collecting and analyzing focus group data. First, they identify types of data that can be collected during focus groups. Second, they identify the qualitative data analysis techniques best suited for analyzing these data. T…
Beyond constant comparison qualitative data analysis
The purposes of this paper are to outline seven types of qualitative data analysis techniques, to present step-by-step guidance for conducting these analyses via a computer-assisted qualitative data analysis software program (i.e., NVivo9), and to present screenshots of the data analysis process. Specifically, the following seven analyses are presented: constant comparison analysis, classical content analysis, key-word-in-context, word count, dom…
Assessing Internal Consistency in Counseling Research
In counseling research, reliability is an extremely important concept. Reliability of scores refers to how consistent scores remain across time, instruments, and conditions. The most commonly reported methods of assessing reliability are Cronbach’s alpha and Kuder-Richardson’s index of reliability, otherwise known as measures of internal consistency. The purpose of this article is to describe internal consistency reliability coefficients, delinea…
Mixed Research in Counseling
The results of a content analysis of the articles published in the leading counseling journal, Journal of Counseling & Development, between 2002 and 2010 are presented. The authors present a brief description of mixed research to encourage counseling researchers to explore mixed research as a viable research tool
Validity
For applied linguistics researchers, validity is an important concept to consider and assess in all research studies.
Ganas
The disparity between the educational attainment of Mexican heritage and White individuals illustrate a need for research on factors associated with the high educational attainment of some immigrant and first-generation students of Mexican descent. Using autobiographies, student interviews, and family interviews as data sources, this article explores one prominent theme that emerged: Students’ desire to honor parental struggle and sacrifice with …
Writing Mixed Research Reports
For many researchers, writing the research report is among the most difficult steps. When writing about a mixed methods research study, researchers have had little guidance for how to structure the manuscript. Thus, the purpose of this article is to present multiple approaches to reporting information from a mixed research study. Recommendations for mixed research writing from the extant literature are delineated, and 12 themes that were identifi…
Collecting Qualitative Data for Social Network Analysis and Data Mining
Innovative Data Collection Strategies in Qualitative Research
This article provides an innovative meta-framework comprising strategies designed to guide qualitative data collection in the 21st century. We present a meta-framework comprising strategies for collecting data from interviews, focus groups, observations, and documents/material culture. We present a template for collecting nonverbal data during interviews and discuss the concept of debriefing the interviewer. We identify types of data that can be …
Sampling Designs in Qualitative Research
The purpose of this paper is to provide a typology of sampling designs for qualitative researchers. We introduce the following sampling strategies: (a) parallel sampling designs, which represent a body of sampling strategies that facilitate credible comparisons of two or more different subgroups that are extracted from the same levels of study; (b) nested sampling designs, which are sampling strategies that facilitate credible comparisons of two …
Linking Research Questions to Mixed Methods Data Analysis Procedures 1
The purpose of this paper is to discuss the development of research questions in mixed methods studies. First, we discuss the ways that the goal of the study, the research objective(s), and the research purpose shape the formation of research questions. Second, we compare and contrast quantitative research questions and qualitative research questions. Third, we describe how to write mixed methods research questions, which we define as questions t…
Qualitative Analysis Techniques for the Review of the Literature
In this article, we provide a framework for analyzing and interpreting sources that inform a literature review or, as it is more aptly called, a research synthesis. Specifically, using Leech and Onwuegbuzie’s (2007, 2008) frameworks, we delineate how the following four major source types inform research syntheses: talk, observations, drawings/photographs/videos, and documents. We identify 17 qualitative data analysis techniques that are optimal f…
Psychology (26 obras) · Computer Science (21 obras) · Sociology (21 obras) · Qualitative Research Methods and Applications (16 obras) · Social science (15 obras) · Mathematics education (14 obras) · Qualitative research (13 obras) · Management science (10 obras) · Data science (9 obras) · Mathematics (9 obras)