stats anxiety.pptx
•Download as PPTX, PDF•
0 likes•2 views
This document summarizes several studies on statistical anxiety and its relationship to performance. Some key findings include: 1) Examinations and self-reported questionnaires have found significant correlations between higher statistical anxiety and lower performance for students, with female students and certain ethnicities tending to report higher anxiety. 2) Later studies explored the impact of factors like instructional context, self-efficacy, attitudes, and online vs in-person learning. Students in online statistics classes generally reported higher anxiety and less positive attitudes. 3) Future research recommendations include using standardized frameworks and longitudinal designs to better understand statistical anxiety and developing effective teaching interventions.
Report
Share
Report
Share
Recommended
West-Vanderbilt-Talk--Revised-22March2017.ppt
This document discusses the lack of emphasis on research design in quantitative psychology methods education. It summarizes two surveys of PhD programs from 1990 and 2008 that found gains in statistics training but no improvement in research design instruction. While competence in laboratory experiments was high, it was weak for other designs like field experiments and longitudinal studies. The document also reviews Donald Campbell's influential work developing concepts of internal and external validity threats and remedies. It notes the slow diffusion of newer approaches to causal inference from statistics, like propensity scores, into psychology. Overall it argues for revitalizing research design education with more application examples and engaging younger faculty across fields.
48WORRY, INTOLERANCE OF UNCERTAINTY, AND STATISTICS AN.docx
48
WORRY, INTOLERANCE OF UNCERTAINTY, AND
STATISTICS ANXIETY5
AMANDA S. WILLIAMS
Texas Tech University
[email protected]
ABSTRACT
Statistics anxiety is a problem for most graduate students. This study investigates the relationship
between intolerance of uncertainty, worry, and statistics anxiety. Intolerance of uncertainty was
significantly related to worry, and worry was significantly related to three types of statistics
anxiety. Six types of statistics anxiety were significantly lower by the end of the semester.
Keywords: Statistics education research; Academic anxiety; Graduate students
1. INTRODUCTION
It is quite common for graduate students to avoid taking statistics classes for as long as possible,
frequently waiting until their last semester to enroll in a statistics course. This is not new: Roberts and
Bilderback (1980) noted as much when discussing student attitudes toward statistics. The authors
pointed out that the fear students feel when finally forced to enroll is often detrimental to a successful
experience in statistics classes. Other authors also acknowledge the problem of graduate students’
procrastination when it comes to enrolling in statistics classes (e.g., Onwuegbuzie, 1997), attributing
their avoidance to high levels of statistics anxiety. Statistics anxiety has been related to several
variables, such as academic outcomes, attitudes, self-concepts, and personal characteristics such as the
tendency to procrastinate. Statistics anxiety has also been shown to be detrimental to students in
several ways, but cognitive processes related to this form of anxiety have apparently not been
explored. Specifically, intolerance of uncertainty, and worry have each been related to generalized
anxiety, and worry has been related to other forms of anxiety, but neither construct has yet been
related to statistics anxiety.
2. REVIEW OF THE LITERATURE
2.1. STATISTICS ANXIETY
Statistics anxiety has been defined as “a feeling of anxiety when taking a statistics course or doing
statistical analysis; that is gathering, processing, and interpreting data” (Cruise, Cash, & Bolton, 1985,
p. 92). Statistics anxiety is believed to be a multi-dimensional construct, comprised of six types of
anxiety: worth of statistics, interpretation anxiety, test and class anxiety, computation self-concept,
fear of asking for help, and fear of statistics teachers (Cruise et al.). Worth of statistics refers to
students’ perception of the usefulness of statistics in everyday life. Cruise et al. state that students
scoring high on this factor see no purpose in taking statistics courses and a higher score may indicate
a negative attitude toward the subject. Interpretation anxiety refers to the anxiety felt when students
are required to interpret statistical results or decide which type of analysis to use. Those who score
high on this factor find statistical interpretation difficult and anxiety provoking. T.
Qualitative approaches to learning analytics
Tutorial on qualitative approaches to learning analytics given by Rebecca Ferguson of The Open University UK at the Learning Analytics Summer Institute (LASI) run by the Society for Learning Analytics Research (SoLAR) at the University of British Columbia (UBC) in Vancouver, Canada, on 17 June 2019
A Quasi-Experimental Comparison Of Spreadsheet- And Classroom-Based Statistic...
This document summarizes a study that compared the effectiveness of spreadsheet-based statistics tutorials to traditional classroom-based pen-and-paper tutorials. The study involved 169 undergraduate psychology students in South Africa who received instruction using both methods, with tutorials alternating between the two formats. Outcomes were assessed using exam performance and attitudinal surveys. Results showed that the spreadsheet tutorials improved exam scores slightly but had mixed effects on attitudes, improving some measures but not others. Overall, the spreadsheet tutorials appeared to provide some benefits for teaching statistics, though the effects were small to moderate.
The Importance Of Quantitative Research Designs
The document discusses quantitative and qualitative research designs. It states that qualitative research aims to understand the reasons and motivations behind issues, while quantitative research focuses on measuring trends and generalizing results from samples to populations. As examples, it provides details about two studies, one using a qualitative design to understand family relationships and support for mothers, and the other using a quantitative design but does not provide details about the specific study. It also provides background information on the samples and methods used in the qualitative study.
EDUC 8102-6 - MD7Assgn5: Research Application Paper #2.
The document summarizes two research articles. The first article by Fetherston and Kelly used grounded theory to evaluate the effectiveness of a conflict resolution course. It found the revised course better prepared students for careers through transformative learning. The second article by Hsia and Spruijt-Metz used a correlation design to determine relationships between smoking habits and meanings for Asian-American students. It found gender-related relationships and proposed gender-specific smoking prevention programs.
7103449 dislike-of-math-thesis-final-version
This document discusses reasons why students dislike math. It explores three main ideas from literature: math anxiety, lack of motivation, and negative attitudes. Math anxiety is a negative reaction to math that can prevent students from pursuing higher-level math courses. Studies show the affective dimension of math anxiety (feelings of nervousness) correlates more strongly with negative performance than cognitive anxiety (worry). A longitudinal study found students' expectations for success in math and perceived importance of math strongly predict math anxiety and performance more than anxiety itself. A negative attitude where it is socially acceptable to not be good at math may also contribute to disliking the subject. The document seeks to understand the root causes of these issues to help change students' perspectives.
EDUC 8102-6 Applied Research and Adult Learn: Module 7
This is Walden University course (EDUC8102-6) MD7Assgn1: A7 Research Application Paper #3. It concludes assignments for Module 7. Four articles from the required readings are used to discuss quantitative and qualitative research techniques and designs as well as contextualizing research for social change. The essay is written in APA format and includes references. Most universities submit higher-education assignments to turnitin; so, remember to paraphrase. Enjoy your discovery!
Recommended
West-Vanderbilt-Talk--Revised-22March2017.ppt
This document discusses the lack of emphasis on research design in quantitative psychology methods education. It summarizes two surveys of PhD programs from 1990 and 2008 that found gains in statistics training but no improvement in research design instruction. While competence in laboratory experiments was high, it was weak for other designs like field experiments and longitudinal studies. The document also reviews Donald Campbell's influential work developing concepts of internal and external validity threats and remedies. It notes the slow diffusion of newer approaches to causal inference from statistics, like propensity scores, into psychology. Overall it argues for revitalizing research design education with more application examples and engaging younger faculty across fields.
48WORRY, INTOLERANCE OF UNCERTAINTY, AND STATISTICS AN.docx
48
WORRY, INTOLERANCE OF UNCERTAINTY, AND
STATISTICS ANXIETY5
AMANDA S. WILLIAMS
Texas Tech University
[email protected]
ABSTRACT
Statistics anxiety is a problem for most graduate students. This study investigates the relationship
between intolerance of uncertainty, worry, and statistics anxiety. Intolerance of uncertainty was
significantly related to worry, and worry was significantly related to three types of statistics
anxiety. Six types of statistics anxiety were significantly lower by the end of the semester.
Keywords: Statistics education research; Academic anxiety; Graduate students
1. INTRODUCTION
It is quite common for graduate students to avoid taking statistics classes for as long as possible,
frequently waiting until their last semester to enroll in a statistics course. This is not new: Roberts and
Bilderback (1980) noted as much when discussing student attitudes toward statistics. The authors
pointed out that the fear students feel when finally forced to enroll is often detrimental to a successful
experience in statistics classes. Other authors also acknowledge the problem of graduate students’
procrastination when it comes to enrolling in statistics classes (e.g., Onwuegbuzie, 1997), attributing
their avoidance to high levels of statistics anxiety. Statistics anxiety has been related to several
variables, such as academic outcomes, attitudes, self-concepts, and personal characteristics such as the
tendency to procrastinate. Statistics anxiety has also been shown to be detrimental to students in
several ways, but cognitive processes related to this form of anxiety have apparently not been
explored. Specifically, intolerance of uncertainty, and worry have each been related to generalized
anxiety, and worry has been related to other forms of anxiety, but neither construct has yet been
related to statistics anxiety.
2. REVIEW OF THE LITERATURE
2.1. STATISTICS ANXIETY
Statistics anxiety has been defined as “a feeling of anxiety when taking a statistics course or doing
statistical analysis; that is gathering, processing, and interpreting data” (Cruise, Cash, & Bolton, 1985,
p. 92). Statistics anxiety is believed to be a multi-dimensional construct, comprised of six types of
anxiety: worth of statistics, interpretation anxiety, test and class anxiety, computation self-concept,
fear of asking for help, and fear of statistics teachers (Cruise et al.). Worth of statistics refers to
students’ perception of the usefulness of statistics in everyday life. Cruise et al. state that students
scoring high on this factor see no purpose in taking statistics courses and a higher score may indicate
a negative attitude toward the subject. Interpretation anxiety refers to the anxiety felt when students
are required to interpret statistical results or decide which type of analysis to use. Those who score
high on this factor find statistical interpretation difficult and anxiety provoking. T.
Qualitative approaches to learning analytics
Tutorial on qualitative approaches to learning analytics given by Rebecca Ferguson of The Open University UK at the Learning Analytics Summer Institute (LASI) run by the Society for Learning Analytics Research (SoLAR) at the University of British Columbia (UBC) in Vancouver, Canada, on 17 June 2019
A Quasi-Experimental Comparison Of Spreadsheet- And Classroom-Based Statistic...
This document summarizes a study that compared the effectiveness of spreadsheet-based statistics tutorials to traditional classroom-based pen-and-paper tutorials. The study involved 169 undergraduate psychology students in South Africa who received instruction using both methods, with tutorials alternating between the two formats. Outcomes were assessed using exam performance and attitudinal surveys. Results showed that the spreadsheet tutorials improved exam scores slightly but had mixed effects on attitudes, improving some measures but not others. Overall, the spreadsheet tutorials appeared to provide some benefits for teaching statistics, though the effects were small to moderate.
The Importance Of Quantitative Research Designs
The document discusses quantitative and qualitative research designs. It states that qualitative research aims to understand the reasons and motivations behind issues, while quantitative research focuses on measuring trends and generalizing results from samples to populations. As examples, it provides details about two studies, one using a qualitative design to understand family relationships and support for mothers, and the other using a quantitative design but does not provide details about the specific study. It also provides background information on the samples and methods used in the qualitative study.
EDUC 8102-6 - MD7Assgn5: Research Application Paper #2.
The document summarizes two research articles. The first article by Fetherston and Kelly used grounded theory to evaluate the effectiveness of a conflict resolution course. It found the revised course better prepared students for careers through transformative learning. The second article by Hsia and Spruijt-Metz used a correlation design to determine relationships between smoking habits and meanings for Asian-American students. It found gender-related relationships and proposed gender-specific smoking prevention programs.
7103449 dislike-of-math-thesis-final-version
This document discusses reasons why students dislike math. It explores three main ideas from literature: math anxiety, lack of motivation, and negative attitudes. Math anxiety is a negative reaction to math that can prevent students from pursuing higher-level math courses. Studies show the affective dimension of math anxiety (feelings of nervousness) correlates more strongly with negative performance than cognitive anxiety (worry). A longitudinal study found students' expectations for success in math and perceived importance of math strongly predict math anxiety and performance more than anxiety itself. A negative attitude where it is socially acceptable to not be good at math may also contribute to disliking the subject. The document seeks to understand the root causes of these issues to help change students' perspectives.
EDUC 8102-6 Applied Research and Adult Learn: Module 7
This is Walden University course (EDUC8102-6) MD7Assgn1: A7 Research Application Paper #3. It concludes assignments for Module 7. Four articles from the required readings are used to discuss quantitative and qualitative research techniques and designs as well as contextualizing research for social change. The essay is written in APA format and includes references. Most universities submit higher-education assignments to turnitin; so, remember to paraphrase. Enjoy your discovery!
MD7 Research Assignment 1
This is a Walden University course (EDUC 8102-6), A7: Research Application Paper #3. It is written in APA format, has been graded by an instructor (A), and includes references. Most higher-education assignments are submitted to turnitin, so remember to paraphrase. Let us begin.
Respond in a paragraph to the discussion board. In your response.docx
1) The document discusses various methods for analyzing qualitative data collected from student interviews at Highland Park High School, including identifying themes by carefully reading interview transcripts, developing a coding scheme, and sorting data by themes.
2) It also discusses using concept maps to visualize major influences on the study from different perspectives like students, parents, teachers and administrators.
3) The analysis process included connecting findings to personal experiences of the researchers and seeking insights from critical friends to further interpret and clarify the data.
ESRC International Distance Education and African Students Advisory Panel Mee...
This document discusses using learning analytics and learning design to improve student outcomes. It examines how social learning analytics can focus on how learners build knowledge together. Research shows affective, behavioral, and cognitive factors influence student adjustment over time and impact learning outcomes. The document presents models for predicting student progression based on input factors like demographics, process factors like academic adjustment, and output factors like performance and degree attainment. It describes analysis of data from over 111,000 students in 150+ modules to evaluate the impact of pedagogical decisions and different learning designs on student engagement, satisfaction, retention and performance. Interviews are proposed to better understand why some students succeed while others struggle.
Research trends qualitative analysis in cscl
Research trends qualitative analysis in cscl
presented at QRWEBA2011 conference
organised by Merlien Institute
33 using dual mapping learning approach
The document summarizes a study that aims to use a dual-mapping learning approach to help learners visualize the connection between problem solving and knowledge construction. It discusses relevant literature on problem solving and knowledge construction. It then proposes a conceptual framework and design for a learning tool that uses both argument mapping and concept mapping to model learners' mental processes and knowledge base during problem solving. An evaluation method is outlined to assess the tool's impact on performance and knowledge.
An Examination Of University Students Learning And Studying Approaches
This study examined university students' learning and studying approaches in terms of gender, department, and exam scores. 178 students from various departments at a Turkish university completed a survey measuring surface, deep, and strategic learning approaches. The results showed no significant differences in approaches between departments. However, there were significant gender differences in approaches. Additionally, students' exam scores correlated positively with strategic approaches and negatively with deep approaches. The study aimed to explore factors influencing students' learning quality and achievement.
BMBF STELA @ EDMEDIA 2018
This document presents the results of a systematic review on utilizing learning analytics to increase student success. The review examined 41 international studies published between 2013-2017. The results provided some positive evidence that learning analytics can help improve outcomes like graduation and course completion rates when used to predict risks, target interventions, and provide personalized feedback. However, most studies were small-scale and lacked concrete evidence. There were also gaps in knowledge around topics like informal learning and a lack of geographical diversity. Future work is needed to develop standardized learning analytics systems and address ethical/privacy guidelines before broader implementation.
Temporal learning analytics in learning design
Learning analytics has the potential to make the temporal dimensions of learning processes more visible using fine-grained proxies of how and when students engage with online learning activities. In this talk, Quan Nguyen will demonstrate the extent to which students actually follow the course timeline and the subsequent effect on their academic performance
A Survey of Mathematics Education Technology Dissertation Scope and Quality ...
This dissertation survey examined 480 mathematics education technology dissertations from 1968 to 2009. It found that dissertation studies earned an average of 64.4% of possible quality points across all methodologies, higher than comparable journal studies which averaged 47.2%. The dissertation studies focused most on calculators and software, and outcomes related to student achievement and attitudes. However, the quality of theoretical connections, research design descriptions, and validity/reliability reporting in dissertations was inconsistent. Improving these areas could increase dissertation and research quality in this field.
Predictor Variables for Statistical Anxiety
This document describes a study that examined whether neuroticism, procrastination, and autistic traits can predict statistical anxiety. 75 participants completed questionnaires measuring these variables. Moderate correlations were found between neuroticism, autism, and statistical anxiety, indicating they may predict anxiety levels. Procrastination did not significantly predict anxiety. The findings provide partial support for using personality traits to forecast statistical anxiety but more research is needed.
Design based for lisbon 2011
The document summarizes a seminar on research methods in distance education, with a focus on design-based research. It discusses four main research paradigms - quantitative, qualitative, critical, and design-based research. Design-based research is presented as a methodology developed by educators that focuses on iterative design, testing, and evaluation of learning innovations in authentic contexts. Examples of design-based research studies and results from a survey on social software use among distance learners are also summarized.
Adaptive Perfectionism, Maladaptive Perfectionism and Statistics Anxiety in G...
This study examined the relationships between adaptive perfectionism, maladaptive perfectionism, and statistics anxiety in 96 graduate psychology students. Results showed that scores on the maladaptive perfectionism scale of the Almost Perfect Scale-Revised (APS-R) correlated with higher levels of statistics anxiety as measured by several subscales of the Statistics Anxiety Rating Scale (STARS). Bilingualism was found to negatively correlate with some dimensions of statistics anxiety. The study provides further evidence that maladaptive perfectionism is linked to greater statistics anxiety, while adaptive perfectionism and bilingualism may be protective factors against statistics anxiety.
Jenest poster
The document discusses using a classroom response system (CRS) to increase active learning in a high school science classroom. Quantitative data showed slightly higher post-test scores and fewer failing grades for students using the CRS. Qualitative data found a significant increase in active student participation and discussion. A student survey indicated the CRS made class more fun and helped students learn more. The researcher concluded the CRS improved the classroom environment and increased active learning.
20_05_08 «Diseño Centrado en el ser humano y Learning Analytics: ¿dónde esta...
«Diseño Centrado en el ser humano y Learning Analytics: ¿dónde estamos y hacia dónde deberíamos dirigirnos?», Roberto Martínez-Maldonado
Dan's ResearchPoster FL Innovation Summit.pptx
This document proposes a strategy to address statistics anxiety in doctoral students by combining collaborative problem-solving, theory comprehension, and data analysis software. The strategy involves students first independently learning statistical theories. They then discuss the theories online and collaboratively solve problems on virtual whiteboards. This helps students understand the formulas and software processes. Evaluations found the approach improved students' mastery of statistics and reduced intimidation factors. The document concludes the strategy could be applied to other complex topics and benefit STEM fields beyond research methods classrooms.
research hypothesis.pptx
The document discusses hypotheses in research. It notes that hypotheses bring focus and direction to studies, and present expected relationships between variables. Well-formulated hypotheses indicate researcher knowledge and guide data collection and interpretation. Hypotheses must be testable, consistent with existing knowledge, and stated simply. The document outlines types of hypotheses, characteristics of good hypotheses, sources of hypotheses, and the process of testing hypotheses, including types of errors. It also discusses the differences between hypotheses in quantitative and qualitative research.
Quantitativeresearch final
This document provides an overview of quantitative research methods. It discusses key characteristics such as using numerical data suitable for statistical analysis and examining relationships between variables. Quantitative research aims to test hypotheses that are developed based on theories. It emphasizes objectivity, control of variables, and generalizing from samples to populations. Examples of quantitative studies examine the effects of class size and interventions for autism. Ethical issues around informed consent and treatment of participants are also addressed.
DEC Presentation: Spring 2021
Nicole Porter conducted a usability study of a virtual coaching intervention incorporating pet-assisted activities to treat social anxiety in adolescents. The study involved a 4-week trial with pre- and post-measures of social anxiety, social participation, and satisfaction. Quantitative data from standardized scales and qualitative data from coach notes and open-ended responses were analyzed. The purpose was to evaluate the feasibility and usability of the intervention which was based on evidence for the effectiveness of coaching, social skills training, and animal-assisted interventions for social anxiety and participation.
Supporting the Assessment of Problem Solving Competences through Inquiry-base...
Supporting the Assessment of Problem Solving Competences through Inquiry-base...Advanced Digital Systems and Services for Education and Learning (ASK)
The document describes the Inspiring Science Education tools, which were developed to support teachers in authoring and delivering technology-enhanced science lessons that follow an inquiry cycle and assess students' problem solving competences. The tools include an authoring tool to design lessons incorporating assessment tasks aligned with the PISA problem solving framework, and a delivery tool to implement the lessons and collect student assessment data. The overall goal is to help teachers improve their lesson plans and enhance students' problem solving skills.Attitude Of Students Towards Statistics Application
This document summarizes a study that investigated factors influencing students' acceptance of statistics. The study surveyed 200 undergraduate students in Malaysia about their affect, cognitive competence, perceived value of statistics, and acceptance of statistics. Results found that affect and perceived value significantly predicted students' acceptance of statistics, but cognitive competence did not. The study aimed to help improve statistics education by better understanding what influences students' views of the subject.
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
More Related Content
Similar to stats anxiety.pptx
MD7 Research Assignment 1
This is a Walden University course (EDUC 8102-6), A7: Research Application Paper #3. It is written in APA format, has been graded by an instructor (A), and includes references. Most higher-education assignments are submitted to turnitin, so remember to paraphrase. Let us begin.
Respond in a paragraph to the discussion board. In your response.docx
1) The document discusses various methods for analyzing qualitative data collected from student interviews at Highland Park High School, including identifying themes by carefully reading interview transcripts, developing a coding scheme, and sorting data by themes.
2) It also discusses using concept maps to visualize major influences on the study from different perspectives like students, parents, teachers and administrators.
3) The analysis process included connecting findings to personal experiences of the researchers and seeking insights from critical friends to further interpret and clarify the data.
ESRC International Distance Education and African Students Advisory Panel Mee...
This document discusses using learning analytics and learning design to improve student outcomes. It examines how social learning analytics can focus on how learners build knowledge together. Research shows affective, behavioral, and cognitive factors influence student adjustment over time and impact learning outcomes. The document presents models for predicting student progression based on input factors like demographics, process factors like academic adjustment, and output factors like performance and degree attainment. It describes analysis of data from over 111,000 students in 150+ modules to evaluate the impact of pedagogical decisions and different learning designs on student engagement, satisfaction, retention and performance. Interviews are proposed to better understand why some students succeed while others struggle.
Research trends qualitative analysis in cscl
Research trends qualitative analysis in cscl
presented at QRWEBA2011 conference
organised by Merlien Institute
33 using dual mapping learning approach
The document summarizes a study that aims to use a dual-mapping learning approach to help learners visualize the connection between problem solving and knowledge construction. It discusses relevant literature on problem solving and knowledge construction. It then proposes a conceptual framework and design for a learning tool that uses both argument mapping and concept mapping to model learners' mental processes and knowledge base during problem solving. An evaluation method is outlined to assess the tool's impact on performance and knowledge.
An Examination Of University Students Learning And Studying Approaches
This study examined university students' learning and studying approaches in terms of gender, department, and exam scores. 178 students from various departments at a Turkish university completed a survey measuring surface, deep, and strategic learning approaches. The results showed no significant differences in approaches between departments. However, there were significant gender differences in approaches. Additionally, students' exam scores correlated positively with strategic approaches and negatively with deep approaches. The study aimed to explore factors influencing students' learning quality and achievement.
BMBF STELA @ EDMEDIA 2018
This document presents the results of a systematic review on utilizing learning analytics to increase student success. The review examined 41 international studies published between 2013-2017. The results provided some positive evidence that learning analytics can help improve outcomes like graduation and course completion rates when used to predict risks, target interventions, and provide personalized feedback. However, most studies were small-scale and lacked concrete evidence. There were also gaps in knowledge around topics like informal learning and a lack of geographical diversity. Future work is needed to develop standardized learning analytics systems and address ethical/privacy guidelines before broader implementation.
Temporal learning analytics in learning design
Learning analytics has the potential to make the temporal dimensions of learning processes more visible using fine-grained proxies of how and when students engage with online learning activities. In this talk, Quan Nguyen will demonstrate the extent to which students actually follow the course timeline and the subsequent effect on their academic performance
A Survey of Mathematics Education Technology Dissertation Scope and Quality ...
This dissertation survey examined 480 mathematics education technology dissertations from 1968 to 2009. It found that dissertation studies earned an average of 64.4% of possible quality points across all methodologies, higher than comparable journal studies which averaged 47.2%. The dissertation studies focused most on calculators and software, and outcomes related to student achievement and attitudes. However, the quality of theoretical connections, research design descriptions, and validity/reliability reporting in dissertations was inconsistent. Improving these areas could increase dissertation and research quality in this field.
Predictor Variables for Statistical Anxiety
This document describes a study that examined whether neuroticism, procrastination, and autistic traits can predict statistical anxiety. 75 participants completed questionnaires measuring these variables. Moderate correlations were found between neuroticism, autism, and statistical anxiety, indicating they may predict anxiety levels. Procrastination did not significantly predict anxiety. The findings provide partial support for using personality traits to forecast statistical anxiety but more research is needed.
Design based for lisbon 2011
The document summarizes a seminar on research methods in distance education, with a focus on design-based research. It discusses four main research paradigms - quantitative, qualitative, critical, and design-based research. Design-based research is presented as a methodology developed by educators that focuses on iterative design, testing, and evaluation of learning innovations in authentic contexts. Examples of design-based research studies and results from a survey on social software use among distance learners are also summarized.
Adaptive Perfectionism, Maladaptive Perfectionism and Statistics Anxiety in G...
This study examined the relationships between adaptive perfectionism, maladaptive perfectionism, and statistics anxiety in 96 graduate psychology students. Results showed that scores on the maladaptive perfectionism scale of the Almost Perfect Scale-Revised (APS-R) correlated with higher levels of statistics anxiety as measured by several subscales of the Statistics Anxiety Rating Scale (STARS). Bilingualism was found to negatively correlate with some dimensions of statistics anxiety. The study provides further evidence that maladaptive perfectionism is linked to greater statistics anxiety, while adaptive perfectionism and bilingualism may be protective factors against statistics anxiety.
Jenest poster
The document discusses using a classroom response system (CRS) to increase active learning in a high school science classroom. Quantitative data showed slightly higher post-test scores and fewer failing grades for students using the CRS. Qualitative data found a significant increase in active student participation and discussion. A student survey indicated the CRS made class more fun and helped students learn more. The researcher concluded the CRS improved the classroom environment and increased active learning.
20_05_08 «Diseño Centrado en el ser humano y Learning Analytics: ¿dónde esta...
«Diseño Centrado en el ser humano y Learning Analytics: ¿dónde estamos y hacia dónde deberíamos dirigirnos?», Roberto Martínez-Maldonado
Dan's ResearchPoster FL Innovation Summit.pptx
This document proposes a strategy to address statistics anxiety in doctoral students by combining collaborative problem-solving, theory comprehension, and data analysis software. The strategy involves students first independently learning statistical theories. They then discuss the theories online and collaboratively solve problems on virtual whiteboards. This helps students understand the formulas and software processes. Evaluations found the approach improved students' mastery of statistics and reduced intimidation factors. The document concludes the strategy could be applied to other complex topics and benefit STEM fields beyond research methods classrooms.
research hypothesis.pptx
The document discusses hypotheses in research. It notes that hypotheses bring focus and direction to studies, and present expected relationships between variables. Well-formulated hypotheses indicate researcher knowledge and guide data collection and interpretation. Hypotheses must be testable, consistent with existing knowledge, and stated simply. The document outlines types of hypotheses, characteristics of good hypotheses, sources of hypotheses, and the process of testing hypotheses, including types of errors. It also discusses the differences between hypotheses in quantitative and qualitative research.
Quantitativeresearch final
This document provides an overview of quantitative research methods. It discusses key characteristics such as using numerical data suitable for statistical analysis and examining relationships between variables. Quantitative research aims to test hypotheses that are developed based on theories. It emphasizes objectivity, control of variables, and generalizing from samples to populations. Examples of quantitative studies examine the effects of class size and interventions for autism. Ethical issues around informed consent and treatment of participants are also addressed.
DEC Presentation: Spring 2021
Nicole Porter conducted a usability study of a virtual coaching intervention incorporating pet-assisted activities to treat social anxiety in adolescents. The study involved a 4-week trial with pre- and post-measures of social anxiety, social participation, and satisfaction. Quantitative data from standardized scales and qualitative data from coach notes and open-ended responses were analyzed. The purpose was to evaluate the feasibility and usability of the intervention which was based on evidence for the effectiveness of coaching, social skills training, and animal-assisted interventions for social anxiety and participation.
Supporting the Assessment of Problem Solving Competences through Inquiry-base...
Supporting the Assessment of Problem Solving Competences through Inquiry-base...Advanced Digital Systems and Services for Education and Learning (ASK)
The document describes the Inspiring Science Education tools, which were developed to support teachers in authoring and delivering technology-enhanced science lessons that follow an inquiry cycle and assess students' problem solving competences. The tools include an authoring tool to design lessons incorporating assessment tasks aligned with the PISA problem solving framework, and a delivery tool to implement the lessons and collect student assessment data. The overall goal is to help teachers improve their lesson plans and enhance students' problem solving skills.Attitude Of Students Towards Statistics Application
This document summarizes a study that investigated factors influencing students' acceptance of statistics. The study surveyed 200 undergraduate students in Malaysia about their affect, cognitive competence, perceived value of statistics, and acceptance of statistics. Results found that affect and perceived value significantly predicted students' acceptance of statistics, but cognitive competence did not. The study aimed to help improve statistics education by better understanding what influences students' views of the subject.
Similar to stats anxiety.pptx (20)
Respond in a paragraph to the discussion board. In your response.docx
Respond in a paragraph to the discussion board. In your response.docx
ESRC International Distance Education and African Students Advisory Panel Mee...
ESRC International Distance Education and African Students Advisory Panel Mee...
An Examination Of University Students Learning And Studying Approaches
An Examination Of University Students Learning And Studying Approaches
A Survey of Mathematics Education Technology Dissertation Scope and Quality ...
A Survey of Mathematics Education Technology Dissertation Scope and Quality ...
Adaptive Perfectionism, Maladaptive Perfectionism and Statistics Anxiety in G...
Adaptive Perfectionism, Maladaptive Perfectionism and Statistics Anxiety in G...
20_05_08 «Diseño Centrado en el ser humano y Learning Analytics: ¿dónde esta...
20_05_08 «Diseño Centrado en el ser humano y Learning Analytics: ¿dónde esta...
Supporting the Assessment of Problem Solving Competences through Inquiry-base...
Supporting the Assessment of Problem Solving Competences through Inquiry-base...
Attitude Of Students Towards Statistics Application
Attitude Of Students Towards Statistics Application
Recently uploaded
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcRPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
How to Add Chatter in the odoo 17 ERP Module
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Walmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Recently uploaded (20)
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
stats anxiety.pptx
- 1. STATISTICAL ANXIETY Maths Research Group 7 OCT 2021
- 4. Theory: cognitive-interference approach Instrument: examination Result: Significant correlation, zero- correlation Arguments: 1)depended on students' academic background or the instructional context(Bell, 2003;Bell, 2001;Keeley et al.,2008) Future Research: 1) Suggested to use a framework of variable 2) Longitudinal design 3) Creating effective teaching interventions Journal frontier in Psychology Macher, D., Papousek, I., Ruggeri, K., & Paechter, M. (2016). Statistics anxiety and performance : blessings in disguise. 1–5. https://doi.org/10.3389/fpsyg.2015.01116 2016
- 5. Theory: none Instrument: Self-reported questionnaire Result: 1) Not significant with socio- demographic 2) Significant with gender (female more higher statistics anviety) 3) Significant with ethnicity Arguments: PG did not show any anxiety towards statistics Future Research: none Canadian Center of Science and Education Koh, D., & Zawi, M. K. (2014). Statistics Anxiety among Postgraduate Students. 7(13), 166–174. https://doi.org/10.5539/ies.v7n13p166 2014
- 6. Statistics Anxiety Attitude 1) HFS-R questionnaire (Test and Class Anxiety Scale (TCA)) 2) Statistical Anxiety Rating Scale (STARS) questionnaire 3) Survey of Attitudes Toward Statistics (SATS- 28)
- 7. Theory: none Instrument: HFS-R questionnaire (Test and Class Anxiety Scale (TCA)) Result: 1) Not significant with socio- demographic 2) Significant with gender (female more higher statistics anviety) 3) Significant with ethnicity Arguments: none Future Research: Suggested to use Rasch or graphical log-linear Rasch Model Taylor & Francis Nielsen, T., & Kreiner, S. (2021). Statistical anxiety and attitudes towards statistics: Criterion- related construct validity of the HFS-R questionnaire revisited using Rasch models. Cogent Education, 8(1). https://doi.org/10.1080/2331186X.2021.1947941 2021
- 8. Theory: none Instrument: Statistical Anxiety Rating Scale (STARS) questionnaire Result: Not significant self-efficacy and attitude towards computer Arguments: none Future Research: 1) Should use similar samples 2) Focus on self-efficacy 3) Add more participant 4)Should apply this instrument for online environment Man in India Ismail, R., Yusof, Y. M., & Ismail, Z. (2017). Anxiety among postgraduate students. Man in India, 97(19). 2017
- 9. Theory: none Instrument: 1) Statistical Anxiety Rating Scale (STARS) questionnaire 2) Survey of Attitudes Toward Statistics (SATS-28) Result: students in the online classes generally had higher levels of anxiety and less favorable attitudes towards statistics Arguments: none Future Research: 1) Should use similar samples 2)Should apply this instrument for online environment Journal of Statistics Education DeVaney, T. A. (2010). Anxiety and attitude of graduate students in On-Campus vs. online statistics courses. Journal of Statistics Education, 18(1), 1–15. https://doi.org/10.1080/10691898.2010.11889472 2010