Nidhi Kohli
Biographic Data
| ID | 3806743 |
|---|---|
| NAME | Nidhi Kohli |
| GIVEN NAMES | Nidhi |
| FAMILY NAME | Kohli |
| SIGNATURE | KOHLI N |
| AFFILIATIONS | University of Minnesota |
| ORCID | 0000-0003-4690-2854 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Instructional Decision-Making for Students With Intensive Early Writing Needs
Instructional decision-making is a defining feature of data-based individualization (DBI) for students with intensive learning needs, yet its added value in facilitating growth in writing remains underexplored. This study examined sentence-level writing growth among 38 elementary students with early writing needs who received DBI support. Students completed weekly progress monitoring over 14 weeks, and teachers made instructional decisions at Wee…
Effects of an Afrocentric Sexual Health Education Curriculum for Medical, Nursing, and Midwifery Students in Tanzania
Sub-Saharan Africa has the world’s highest rates of sexual health challenges. Yet, sexual health curricula for health students are rare. To advance research on the effects of such a curricula, we conducted the first randomized controlled trial of a sexual health curriculum for health students. “Training for Health Professionals” was a randomized, controlled, single-blind, trial conducted in Tanzania. In 2021, 412 nursing, midwifery, and medical s…
Longitudinal effects of data-based instructional changes for students with intensive learning needs
Model Fit Indices for Random Effects Models
The latent growth curve modeling (LGM) and random effects modeling (REM) frameworks are analytically and empirically equivalent for intrinsically linear models and used interchangeably for intrinsically nonlinear models. However, while LGM provides overall model fit indices, REM does not. Overall model fit indices are useful because they evaluate how well a specified model fits data. This paper proposes to translate model fit concepts from LGM to…
The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models
Nonlinear mixed-effects models (NLMEMs) allow researchers to model curvilinear patterns of growth, but there is ambiguity as to what functional form the data follow. Often, researchers fit multiple nonlinear functions to data and use model selection criteria to decide which functional form fits the data "best." Frequently used model selection criteria only account for the number of parameters in a model but overlook the complexity of intrinsicall…
Parents of preschoolers use multiple strategies to feed their children
Discrimination of sexual and gender minority patients in prostate cancer treatment
This study is the first to quantify experiences of discrimination in treatment undertaken by sexual and gender minority prostate cancer patients. Participants were 192 gay and bisexual and one transgender prostate cancer patients living in the US recruited from North America's largest online cancer support group. In this online survey, discrimination in treatment was measured using the Everyday Discrimination Scale (EDS), adapted for medical sett…
Addressing Quantitative and Qualitative Hypotheses Using Regression Models with Equality Restrictions and Predictors Measured in Common Units
In regression, some or all of the predictors may be measured in common units: e.g. X1 = carbohydrate calories, X2 = protein calories, X3 = fat calories. Such predictors can occur in disciplines as diverse as business, economics, education, medicine, nutrition, psychology, sport science, etc. Predictors in common units can lead to unique quantitative and qualitative hypotheses that can be addressed by imposing equality restrictions on the regressi…
Pain and Loss of Pleasure in Receptive Anal Sex for Gay and Bisexual Men following Prostate Cancer Treatment
Prostate cancer treatments disrupt receptive anal intercourse (RAI) for gay and bisexual men (GBM). Sexual dysfunction following prostate cancer treatment may include severe pain in the anorectum during RAI (i.e., anodyspareunia). The purpose of this study was to explore the impact of prostate cancer and its treatments on RAI among GBM. Data were from a cross-sectional online survey of 100 GBM prostate cancer survivors who reported pleasurable RA…
Item and scale properties of the Oral Health Literacy Adults Questionnaire assessed by item response theory
Objectives a) To evaluate the item and scale properties of the Oral Health Literacy Adults Questionnaire (OHL‐AQ) in an adult general population. b) To determine precision or accuracy of the respondents' estimated scores along the Oral Health Literacy (OHL) spectrum using item response theory (IRT) modeling. Methods Survey data were collected from a convenience sample of 405 adult attendees of the 2014 Minnesota State Fair. We used the two‐parame…
Relationships Among Classical Test Theory and Item Response Theory Frameworks via Factor Analytic Models
There are well-defined theoretical differences between the classical test theory (CTT) and item response theory (IRT) frameworks. It is understood that in the CTT framework, person and item statistics are test- and sample-dependent. This is not the perception with IRT. For this reason, the IRT framework is considered to be theoretically superior to the CTT framework for the purpose of estimating person and item parameters. In previous simulation …
Piecewise Linear–Linear Latent Growth Mixture Models With Unknown Knots
Latent growth curve models with piecewise functions are flexible and useful analytic models for investigating individual behaviors that exhibit distinct phases of development in observed variables. As an extension of this framework, this study considers a piecewise linear–linear latent growth mixture model (LGMM) for describing segmented change of individual behavior over time where the data come from a mixture of two or more unobserved subpopula…
Modeling Growth in Latent Variables Using a Piecewise Function
Latent growth curve models with piecewise functions for continuous repeated measures data have become increasingly popular and versatile tools for investigating individual behavior that exhibits distinct phases of development in observed variables. As an extension of this framework, this research study considers a piecewise function for describing segmented change of a latent construct over time where the latent construct is itself measured by mu…
Attitude of Couples towards Family Planning
The study entitled ‘Attitude of Couples towards Family-Planning’ was conducted with an aim to assess knowledge, understanding and attitude of couples towards family planning across the two ecological settings of Jammu district. The influence of education on the attitude under consideration was also evaluated. Sample for the study comprised 200 married couples drawn from Jammu district through stratified random sampling technique. The tools for da…
A Comparative Study of Understanding of Menstrual Process among Married Women Belonging to Two Ecological Settings
Menstruation is a process of utmost importance in the reproductive physiology of females. The present study aims at assessing the understanding of menstruation process among married women and to gain insight into the sources of information and nature of knowledge pertaining to the physiological process under consideration. The sample for the study comprised of 200 married women in the age group of 20-40 years. Equal numbers of women were drawn fr…
A Comparative Study of Understanding of Menstrual Process among Married Women Belonging to Two Ecological Settings
Menstruation is a process of utmost importance in the reproductive physiology of females. The present study aims at assessing the understanding of menstruation process among married women and to gain insight into the sources of information and nature of knowledge pertaining to the physiological process under consideration. The sample for the study comprised of 200 married women in the age group of 20-40 years. Equal numbers of women were drawn fr…
Attitude of Couples towards Family Planning
The study entitled ‘Attitude of Couples towards Family-Planning’ was conducted with an aim to assess knowledge, understanding and attitude of couples towards family planning across the two ecological settings of Jammu district. The influence of education on the attitude under consideration was also evaluated. Sample for the study comprised 200 married couples drawn from Jammu district through stratified random sampling technique. The tools for da…
Piecewise Linear–Linear Latent Growth Mixture Models With Unknown Knots
Latent growth curve models with piecewise functions are flexible and useful analytic models for investigating individual behaviors that exhibit distinct phases of development in observed variables. As an extension of this framework, this study considers a piecewise linear–linear latent growth mixture model (LGMM) for describing segmented change of individual behavior over time where the data come from a mixture of two or more unobserved subpopula…
Modeling Growth in Latent Variables Using a Piecewise Function
Latent growth curve models with piecewise functions for continuous repeated measures data have become increasingly popular and versatile tools for investigating individual behavior that exhibits distinct phases of development in observed variables. As an extension of this framework, this research study considers a piecewise function for describing segmented change of a latent construct over time where the latent construct is itself measured by mu…
Relationships Among Classical Test Theory and Item Response Theory Frameworks via Factor Analytic Models
There are well-defined theoretical differences between the classical test theory (CTT) and item response theory (IRT) frameworks. It is understood that in the CTT framework, person and item statistics are test- and sample-dependent. This is not the perception with IRT. For this reason, the IRT framework is considered to be theoretically superior to the CTT framework for the purpose of estimating person and item parameters. In previous simulation …
Item and scale properties of the Oral Health Literacy Adults Questionnaire assessed by item response theory
Objectives a) To evaluate the item and scale properties of the Oral Health Literacy Adults Questionnaire (OHL‐AQ) in an adult general population. b) To determine precision or accuracy of the respondents' estimated scores along the Oral Health Literacy (OHL) spectrum using item response theory (IRT) modeling. Methods Survey data were collected from a convenience sample of 405 adult attendees of the 2014 Minnesota State Fair. We used the two‐parame…
Addressing Quantitative and Qualitative Hypotheses Using Regression Models with Equality Restrictions and Predictors Measured in Common Units
In regression, some or all of the predictors may be measured in common units: e.g. X1 = carbohydrate calories, X2 = protein calories, X3 = fat calories. Such predictors can occur in disciplines as diverse as business, economics, education, medicine, nutrition, psychology, sport science, etc. Predictors in common units can lead to unique quantitative and qualitative hypotheses that can be addressed by imposing equality restrictions on the regressi…
Pain and Loss of Pleasure in Receptive Anal Sex for Gay and Bisexual Men following Prostate Cancer Treatment
Prostate cancer treatments disrupt receptive anal intercourse (RAI) for gay and bisexual men (GBM). Sexual dysfunction following prostate cancer treatment may include severe pain in the anorectum during RAI (i.e., anodyspareunia). The purpose of this study was to explore the impact of prostate cancer and its treatments on RAI among GBM. Data were from a cross-sectional online survey of 100 GBM prostate cancer survivors who reported pleasurable RA…
Discrimination of sexual and gender minority patients in prostate cancer treatment
This study is the first to quantify experiences of discrimination in treatment undertaken by sexual and gender minority prostate cancer patients. Participants were 192 gay and bisexual and one transgender prostate cancer patients living in the US recruited from North America's largest online cancer support group. In this online survey, discrimination in treatment was measured using the Everyday Discrimination Scale (EDS), adapted for medical sett…
Model Fit Indices for Random Effects Models
The latent growth curve modeling (LGM) and random effects modeling (REM) frameworks are analytically and empirically equivalent for intrinsically linear models and used interchangeably for intrinsically nonlinear models. However, while LGM provides overall model fit indices, REM does not. Overall model fit indices are useful because they evaluate how well a specified model fits data. This paper proposes to translate model fit concepts from LGM to…
The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models
Nonlinear mixed-effects models (NLMEMs) allow researchers to model curvilinear patterns of growth, but there is ambiguity as to what functional form the data follow. Often, researchers fit multiple nonlinear functions to data and use model selection criteria to decide which functional form fits the data "best." Frequently used model selection criteria only account for the number of parameters in a model but overlook the complexity of intrinsicall…
Parents of preschoolers use multiple strategies to feed their children
Longitudinal effects of data-based instructional changes for students with intensive learning needs
Effects of an Afrocentric Sexual Health Education Curriculum for Medical, Nursing, and Midwifery Students in Tanzania
Sub-Saharan Africa has the world’s highest rates of sexual health challenges. Yet, sexual health curricula for health students are rare. To advance research on the effects of such a curricula, we conducted the first randomized controlled trial of a sexual health curriculum for health students. “Training for Health Professionals” was a randomized, controlled, single-blind, trial conducted in Tanzania. In 2021, 412 nursing, midwifery, and medical s…
Instructional Decision-Making for Students With Intensive Early Writing Needs
Instructional decision-making is a defining feature of data-based individualization (DBI) for students with intensive learning needs, yet its added value in facilitating growth in writing remains underexplored. This study examined sentence-level writing growth among 38 elementary students with early writing needs who received DBI support. Students completed weekly progress monitoring over 14 weeks, and teachers made instructional decisions at Wee…
Psychology (9 works) · Medicine (8 works) · Mathematics (6 works) · Statistics (6 works) · Computer Science (4 works) · Econometrics (4 works) · Applied Mathematics (3 works) · Clinical Psychology (3 works) · Clinical Psychology (3 works) · Family medicine (3 works)