11509907
Psychometric Properties of the Persian Language Version of Yang Internet Addiction Questionnaire: An Explanatory Factor Analysis
Background: Reliability and validity are the key concepts in measurement processes. Young internet addiction test (YIAT) is regarded as a valid and reliable questionnaire in English speaking countries for diagnosis of Internet-related behavior disorders. Objectives: This study aimed at validating the Persian version of YIAT in the Iranian society. Patients and Methods: A pilot and a cross-sectional study were conducted on 28 and 254 students of Qom University of Medical Sciences, respectively, in order to validate the Persian version of YIAT. Forward and backward translations were conducted to develop a Persian version of the scale. Reliability was measured by test-retest, Cronbach’s alpha and interclass correlation coefficient (ICC). Face, content and construct validity were approved by the importance score index, content validity ratio (CVR), content validity index (CVI), correlation matrix and factor analysis. The SPSS software was used for data analysis. Results: The Cronbach’s alpha was 0.917 (CI 95%; 0.901 - 0.931). The average of scale-level CVI was calculated to be 0.74; the CVI index for each item was higher than 0.83 and the average of CVI index was equal to 0.89. Factor analysis extracted three factors including personal activities disorder (PAD), emotional and mood disorder (EMD) and social activities disorder (SAD), with more than 55.8% of total variances. The ICC for different factors of Persian version of Young Questionnaire including PAD, EMD and for SAD was r = 0.884; CI 95%; 0.861 - 0.904, r = 0.766; CI 95%; 0.718 - 0.808 and r = 0.745; CI 95%; 0.686 - 0.795, respectively. Conclusions: Our study showed that the Persian version of YIAT is good and usable on Iranian people. The reliability of the instrument was very good. Moreover, the validity of the Persian translated version of the scale was sufficient. In addition, the reliability and validity of the three extracted factors of YIAT were evaluated and were acceptable.
3101800
Psychiatric Comorbidity of Internet Addiction in College Students: An Interview Study
ABSTRACT 
                  Objective:
               This study was aimed to evaluate the association between Internet addiction and depressive disorder, social phobia and adult attention-deficit/hyperactivity disorder (ADHD) in a sample of Taiwanese college students; and examine gender differences in the psychiatric comorbidity of Internet addiction in this student population. 
                  Methods:
               Two hundred sixteen college students (132 males, 84 females) were recruited. Internet addiction, major depressive disorder, dysthymic disorder, social phobia, and adult ADHD of all participants were diagnosed based on psychiatric diagnostic interview. 
                  Results:
               This study revealed that adult ADHD and depressive disorders were associated with Internet addiction among college students. However, depressive disorders were associated with Internet addiction in the males but not the females. 
                  Conclusion:
               With these results, it seems reasonable to suggest that effective evaluation of, and treatment for, adult ADHD and depressive disorders is required for college students with Internet addiction.
41133263
Internet addiction disorder: Fact or Fad? Nosing into Nosology
Byline: G. Swaminath Trapped in the Net The Indian Institute of Technology (IIT) at Powai, Mumbai, prides itself for having churned out brilliant professionals who led this country's surge into the global economy as a software powerhouse. For such an institution, the restrictions on Internet use imposed recently for students in its hostels, drip with irony. "Tripping the Web Fantastic" is off. The genesis of the decision was from the suicide of a student, growing attendance problems in morning classes, and a fear that IITians were turning into unsocialized zombies, ensnared as they were in the worldwide web. "Discomgoogolation", a neologistic term from the findings of a survey of British Internet users, is meant to refer to a distressing condition, characterized by stress and anxiety at not being able to access the Internet. These Internet users felt frustrated at not being able to go online, experienced stress, and showed changes in brain activity and blood pressure. The survey opined that 76% of Britons could not live without the Internet, with over half of the population using the web between one and four hours a day and 19% of people spending more time online than with their family in a week.[sup] [1] Starting as a hypothetical disorder, perhaps originating from a satirical hoax,[sup] [2] pathological Internet use - Internet Addiction Disorder (IAD) - seems to have stood its ground and its votaries promote its inclusion in both the International Classification of Diseases 11[sup] th Edition (ICD 11) and Diagnostic and Statistical Manual V Edition (DSM V). Goldberg, who specializes in treating people with difficult-to-manage mood disorders, fabricated and posted a list of IAD symptoms on PsyCom.Net.[sup] [2] He said it was intended to be a parody of the DSM-IV, the present Bible for the diagnosis and reimbursement for treatment of mental health disorders. He compounded the irony by starting an Internet addiction support group online, akin to holding an Alcoholics Anonymous meeting in the middle of a cocktail party.[sup] [2] Goldberg's spoof on society's fascination with its own addictive behaviors took on a cyberlife of its own, and news of this new disorder spread among netizens. Across the board, mental health experts agree that the Internet has provided valuable service to people looking for support groups, treatment options, and other help. Web sites, newsgroups, and E-mail lists all are powerful resources for people to find the information and help they need. A Class of its own? However, this categorization of IAD in diagnostic manuals causes concern among most mental health professionals. Robins and Guze[sup] [3] followed by Feighner et al ,[sup] [4] proposed formal[sup] criteria for establishing the validity of psychiatric diagnoses. These are: 1) clinical description[sup] (including symptom profiles, demographic characteristics, and[sup] typical precipitants), 2) laboratory studies (including psychological[sup] tests, and radiology and postmortem findings), 3) delimitation from[sup] other disorders (by means of exclusion criteria), 4) follow-up[sup] studies (including evidence of diagnostic stability), and 5)[sup] family studies. Of these criteria IAD at present fulfils only clinical description, for there is as yet paucity of delimitation from other disorders, and of lab, family, and follow-up studies. An overview of etiology, assessment, and treatment, of IAD has appeared in print[sup] [5] skirting the basic issue of its validity. Jerald Block in an editorial in the American Journal of Psychiatry recommends the inclusion of IAD in DSM-V. He opines that conceptually, the diagnosis is a compulsive-impulsive[sup] spectrum disorder that involves online and/or offline computer[sup] usage and consists of at least three subtypes: excessive[sup] gaming, sexual preoccupations, and E-mail/text messaging.[sup] These variants share the following four components: 1)[sup] excessive use, often associated with a loss of sense of time[sup] or a neglect of basic drives, 2) withdrawal, including feelings[sup] of anger, tension, and/or depression when the computer is inaccessible,[sup] 3) tolerance, including the need for better computer equipment,[sup] more software, or more hours of use, and 4) negative repercussions,[sup] including arguments, lying, poor achievement, social isolation,[sup] and fatigue. …
144557913
P0020 - Internet addiction, prevalence and epidemiological features: First study in Iran
Background and Aims: The concept of Internet addiction, also called Internet addictive disorder or pathological Internet use, entered the medical lexicon in 1995. To investigate the prevalence of Internet addiction among north Iranian Internet users and to explore the epidemiological features associated with Internet addiction, for the first time in Iran, this study performed. Methods: A total of 1856 Internet user volunteers' from Mazandaran province cities were surveyed using Farsi version of Young's Internet Addiction Questionnaire during 2005_2006. Data analysis was done using the SPSS 13.0 Win Program for descriptive and correlational statistics. Results: Total of 424 Dependents was in our sample. The incidence rate of Internet addiction was 22.8%. Dependents spent an M = 14.42, SD = 13.74 hours per week compared to Non-Dependents who spent M= 9, SD = 10.37 hours per week (P<0.001). The sample of Dependents included 256 males and 165 females (P<0.001). Mean±SD of Income Used for On-line Service Fees was 30.11±25.27 percent in Dependent group and 18.90±20.79 in Non-Dependent group (P<0.001). Dependents predominantly used the two-way communication functions available on the Internet like chat rooms (P<0.001). Conclusions: The present study suggests that Internet addiction is frequent among northern Iranian Internet users. In addition, chat rooms are most addictive web environment in this population. The results have important implications for further studies of prevalence, implementation of preventive measures, and the development of treatment approaches for Internet addiction.
5434932
Internet Addiction and Modeling its Risk Factors in Medical Students, Iran
Background: Today's internet is a usual and common method for identifying and fulfilling unknown practices. Internet network has been prepared rapid and comfortable access to information. Internet addiction is a new and attractive subject that has been regarded as behavior-based addiction recently. Purpose: To estimate the prevalence of internet addiction and some of the related factors among medical students, Iran. Materials and Methods: An analytical cross-sectional study was conducted on 426 students selected through two-stage sampling method. Yang standard internet addiction questionnaire was used for data collection. After data entry, χ2, t-test, and Pearson coefficient statistical tests were applied. 0.05 was considered as the significance level. Results: The overall prevalence of internet addiction was 10.8%, with moderate and severe internet addiction equal to 8% and 2.8%, respectively. Mean and standard deviation of Yang internet addiction score was calculated as 32.74±14.52. Internet addiction was associated with sex, marital status, father's job, rate of knowledge about computer and internet, and educational level (P<0.05). But it was not associated with the parents’ education, residential area, field of study and level, and school of education (P>0.05). Conclusion: Because internet addiction leads to wasting of the students’ leisure time and also useful time, it affects the educational situation inversely. Some measures should be taken to plan and improve the use of internet.
35178468
A study on the prevalence of internet addiction and its association with psychopathology in Indian adolescents
Background: There has been an explosive growth of internet use not only in India but also worldwide in the last decade. There is a growing concern about whether this is excessive and, if so, whether it amounts to an addiction. Aim: To study the prevalence of internet addiction and associated existing psychopathology in adolescent age group. Materials and Methods: A cross-sectional study sample comprising of 987 students of various faculties across the city of Mumbai was conducted after obtaining Institutional Ethics Committee approval and permission from the concerned colleges. Students were assessed with a specially constructed semi-structured proforma and The Internet Addiction Test (IAT; Young, 1998) which was self-administered by the students after giving them brief instructions. Dukes Health Profile was used to study physical and psychosocial quality of life of students. Subjects were classified into moderate users, possible addicts, and addicts for comparison. Results: Of the 987 adolescents who took part in the study, 681 (68.9%) were female and 306 (31.1%) were males. The mean age of adolescents was 16.82 years. Of the total, about 74.5% were moderate (average) users. Using Young's original criteria, 0.7% were found to be addicts. Those with excessive use internet had high scores on anxiety, depression, and anxiety depression. Conclusions: In the emerging era of internet use, we must learn to differentiate excessive internet use from addiction and be vigilant about psychopathology.
43421755
Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey.
This study examined the relationship of Internet addiction to depression and suicidal ideation in Korean adolescents. The participants were 1573 high-school students living in a city who completed the self-reported measures of the Internet Addiction Scale, the Korean version of the Diagnostic Interview Schedule for Children-Major Depression Disorder-Simple Questionnaire, and the Suicidal Ideation Questionnaire-Junior. A correlational survey design was employed. Among the samples, 1.6% was diagnosed as Internet addicts, while 38.0% was classified as possible Internet addicts. The prevalence of Internet addiction did not vary with gender. The levels of depression and suicide ideation were highest in the Internet-addicts group. Future studies should investigate the direct relationship between psychological health problems and Internet dependency.
16580618
The Relationship Between Depression and Internet Addiction
Prior research has utilized the Zung Depression Inventory (ZDI) and found that moderate to severe rates of depression coexist with pathological Internet use.1 Although the ZDI was utilized for its expediency with on-line administration, its limitations include poor normative data and less frequent clinical use. Therefore, this study utilized the Beck Depression Inventory (BDI), which has more accurate norms and frequent usage among dual diagnostic patient populations. An on-line survey administered on a World Wide Web site utilized the BDI as part of a larger study. A total of 312 surveys was collected with 259 valid profiles from addicted users, which again supported significant levels of depression to be associated with pathological Internet use. This article discusses how a treatment protocol should emphasis the primary psychiatric condition if related to a subsequent impulse control problem such as pathological Internet use. Effective management of psychiatric symptoms may indirectly correct pathologi...
1959445
On the reliability and validity of manual muscle testing: a literature review
INTRODUCTION
A body of basic science and clinical research has been generated on the manual muscle test (MMT) since its first peer-reviewed publication in 1915. The aim of this report is to provide an historical overview, literature review, description, synthesis and critique of the reliability and validity of MMT in the evaluation of the musculoskeletal and nervous systems.


METHODS
Online resources were searched including Pubmed and CINAHL (each from inception to June 2006). The search terms manual muscle testing or manual muscle test were used. Relevant peer-reviewed studies, commentaries, and reviews were selected. The two reviewers assessed data quality independently, with selection standards based on predefined methodologic criteria. Studies of MMT were categorized by research content type: inter- and intraexaminer reliability studies, and construct, content, concurrent and predictive validity studies. Each study was reviewed in terms of its quality and contribution to knowledge regarding MMT, and its findings presented.


RESULTS
More than 100 studies related to MMT and the applied kinesiology chiropractic technique (AK) that employs MMT in its methodology were reviewed, including studies on the clinical efficacy of MMT in the diagnosis of patients with symptomatology. With regard to analysis there is evidence for good reliability and validity in the use of MMT for patients with neuromusculoskeletal dysfunction. The observational cohort studies demonstrated good external and internal validity, and the 12 randomized controlled trials (RCTs) that were reviewed show that MMT findings were not dependent upon examiner bias.


CONCLUSION
The MMT employed by chiropractors, physical therapists, and neurologists was shown to be a clinically useful tool, but its ultimate scientific validation and application requires testing that employs sophisticated research models in the areas of neurophysiology, biomechanics, RCTs, and statistical analysis.
6446656
Validity and Reliability in Social Science Research.
Concepts of reliability and validity in social science research are introduced and major methods to assess reliability and validity reviewed with examples from the literature. The thrust of the paper is to provide novice researchers with an understanding of the general problem of validity in social science research and to acquaint them with approaches to developing strong support for the validity of their research.
22005589
Two Quantitative Approaches for Estimating Content Validity
Instrument content validity is often established through qualitative expert reviews, yet quantitative analysis of reviewer agreements is also advocated in the literature.Two quantitative approaches to content validity estimations were compared and contrasted using a newly developed instrument called the Osteoporosis Risk Assessment Tool (ORAT).Data obtained from a panel of eight expert judges were analyzed. A Content Validity Index (CVI) initially determined that only one item lacked interrater proportion agreement about its relevance to the instrument as a whole (CVI = 0.57). Concern that higher proportion agreement ratings might be due to random chance stimulated further analysis using a multirater kappa coefficient of agreement. An additional seven items had low kappas, ranging from 0.29 to 0.48 and indicating poor agreement among the experts. The findings supported the elimination or revision of eight items. Pros and cons to using both proportion agreement and kappa coefficient analysis are examined.
145533699
Content Validity Using a Mixed Methods Approach
There is paucity of detailed information in the literature on how to develop procedures for estimating content validity to increase trustworthiness of assessment instruments. The authors present three unique examples, interpretation, and application of Tables of Specifications (ToS) for generating these estimates. The development and logic of the ToS requires presenting evidence that has transparency and creates trustworthiness in the validity estimates by maintaining an audit trail and using of triangulation, expert debriefing, and peer review. The argument presented is that content validity requires a mixed methods approach since data are developed through qualitative and quantitative methods that inform each other. This process is iterative and provides feedback on the effectiveness of the ToS through a process of determining consensus.
8052698
The Psychometric Properties of the Internet Addiction Test
There is growing concern about excessive Internet use and whether this can amount to an addiction. In researching this topic, a valid and reliable assessment instrument is essential. In her survey of Internet addiction, Young designed the Internet Addiction Test (IAT), which provides a basis for developments. The IAT has high face validity, but it has not been subjected to systematic psychometric testing. This study sought to replicate and expand Young's survey, and to examine the IAT more systematically. A questionnaire that existed as a Web page was devised, consisting of the IAT and 15 other questions regarding the respondents' demographic information and Internet usage. Participants were recruited through the Internet, yielding 86 valid responses (29 males and 57 females). Factor analysis of the IAT revealed six factors--salience, excessive use, neglecting work, anticipation, lack of control, and neglecting social life. These factors showed good internal consistency and concurrent validity, with salience being the most reliable. Younger and more recent users reported more problems, mainly concerning the neglect of work and social life. We expected interactive Internet functions to be more addictive; however, this was not found to be so. Overall, the IAT is a valid and reliable instrument that may be used in further research on Internet addiction.
140735546
Caught in the Net: How to Recognize the Signs of Internet Addiction--and a Winning Strategy for Recovery
From the Publisher: 
In Caught in the Net, Kimberly Young shares the results of her three-year study of Internet abuse. Often using the words of the Internet addicts themselves, she presents the stories of dozens of lives that were shattered by an overwhelming compulsion to surf the Net, play MUD games, or chat with distant and invisible neighbors in the timeless limbo of cyberspace. For Internet addicts as well as their parents, spouses, friends, and employers, Caught in the Net offers guidance on where and how to seek help from counselors, therapists, and other professionals who take this affliction seriously. For mental health professionals, this book provides insights into the nature and causes of internet addiction and encourages counselors and therapists to expand their addiction recovery programs to address the specific problems of Internet addicts.
9692996
Is the CVI an acceptable indicator of content validity? Appraisal and recommendations.
Nurse researchers typically provide evidence of content validity for instruments by computing a content validity index (CVI), based on experts' ratings of item relevance. We compared the CVI to alternative indexes and concluded that the widely-used CVI has advantages with regard to ease of computation, understandability, focus on agreement of relevance rather than agreement per se, focus on consensus rather than consistency, and provision of both item and scale information. One weakness is its failure to adjust for chance agreement. We solved this by translating item-level CVIs (I-CVIs) into values of a modified kappa statistic. Our translation suggests that items with an I-CVI of .78 or higher for three or more experts could be considered evidence of good content validity.
34660500
A QUANTITATIVE APPROACH TO CONTENT VALIDITY
CIVIL rights legislation, the attendant actions of compliance agencies, and a few landmark court cases have provided the impetus for the extension of the application of content validity from academic achievement testing to personnel testing in business and industry. Pressed by the legal requirement to demonstrate validity, and constrained by the limited applicability of traditional criterion-related methodologies, practitioners are more and more turning to content validity in search of solutions. Over time, criterion-related validity principles and strategies have evolved so that the term, "commonly accepted professional practice" has meaning. Such is not the case with content validity. The relative newness of the field, the proprietary nature of work done by professionals practicing in industry, to say nothing of the ever present legal overtones, have predictably militated against publication in the journals and formal discussion at professional meetings. There is a paucity of literature on content validity in employment testing, and much of what exists has eminated from civil service commissions. The selectipn of civil servants, with its eligibility lists and "pass-fail" concepts, has always been something of a special case with limited transferability to industry. Given the current lack of consensus in professional practice, practitioners will more and more face each other in adversary roles as expert witnesses for plaintiff and defendant. Until professionals reach some degree of concurrence regarding what constitutes acceptable evidence of content validity, there is a serious risk that the courts and the enforcement agencies will play the major determining role. Hopefully, this paper will modestly contribute to the improvement of this state of affairs (1) by helping sharpen the content ' A paper presented at Content Validity [1, a conference held at Bowling Green
146294978
Objectifying Content Validity: Conducting a Content Validity Study in Social Work Research
Social scientists frequently study complex constructs. Despite the plethora of measures for these constructs, researchers may need to create their own measure for a particular study. When a measure is created, psychometric testing is required, and the first step is to study the content validity of the measure. The purpose of this article is to demonstrate how to conduct a content validity study, including how to elicit the most from a panel of experts by collecting specific data. Instructions on how to calculate a content validity index, factorial validity index, and an interrater reliability index and guide for interpreting these indices are included. Implications regarding the value of conducting a content validity study for practitioners and researchers are discussed. Key words: constructs; content validity; measure; psychometric testing ********** Researchers in the social sciences study complex constructs for which valid and reliable measures are needed. The measures should be brief, clear, and easy to administer. Measures that are too long or difficult to read may result in a lowered response rate or inaccurate responses. In addition, the measure must be appropriate for use in the targeted population. For example, measures designed for use with heterogeneous populations may not be appropriate for a specific population with certain characteristics. A plethora of measures exist with known psychometric properties, but researchers may need to develop a new measure for a particular construct because no measure exists that operationalizes the construct as the researcher conceptualized it. In these circumstances, a content validity study should be conducted. VALIDITY Traditionally, three types of validity may be demonstrated: content, criterion, and construct validity. Content Validity Content validity refers to the extent to which the items on a measure assess the same content or how well the content material was sampled in the measure. Content validity can be characterized as face validity or logical validity. Face validity indicates that the measure appears to be valid, "on its face." Logical validity indicates a more rigorous process, such as using a panel of experts to evaluate the content validity of a measure. Nunnally and Bernstein (1994) did not distinguish among different types of content validity; but presented alternative ways of assessing content validity. They suggested evaluating content validity by demonstrating internal consistency through correlating the scores from the measure with another measure of the same construct and by showing change in posttest scores over pretest scores. Criterion Validity Criterion validity is demonstrated by finding a statistically significant relationship between a measure and a criterion (Nunnally & Bernstein, 1994). Criterion validity is considered the "gold standard," and usually a correlation is used to assess the statistical relationship. For example, the Graduate Record Examination (GRE) has been found to predict graduate school success (as measured by the first-year grade-point average) for certain disciplines (Rubio, Rubin, & Brennan, 2003). Three types of criterion validity are postdictive, concurrent, and predictive. If the criterion has occurred, the validity is postdictive. The validity is concurrent if the criterion exists at the same time as the construct measured. The GRE example demonstrates predictive validity, because graduate school success (criterion) occurs after taking the GRE (measure). According to Nunnally and Bernstein, a correlation of .30 indicates adequate criterion validity. Construct Validity Anastasi and Urbina (1997) described construct validity as "the extent to which the test may be said to measure a theoretical construct or trait" (p. 126). Three kinds of construct validity are factorial, known groups; and convergent and discriminant (or divergent) validity. …
54541939
EDUCATION Exploratory factor analysis: A five-step guide for novices
Factor analysis is a multivariate statistical approach commonly used in psychology, education, and more recently in the health-related professions. This paper will attempt to provide novice researchers with a simplified approach to undertaking exploratory factor analysis (EFA). As the paramedic body of knowledge continues to grow, indeed into scale and instrument psychometrics, it is timely that an uncomplicated article such as this be offered to the paramedic readership both nationally and internationally. Factor analysis is an important tool that can be used in the development, refinement, and evaluation of tests, scales, and measures that can be used in education and clinical contexts by paramedics. The objective of the paper is to provide an exploratory factor analysis protocol, offering potential researchers with an empirically-supported systematic approach that simplifies the many guidelines and options associated with completing EFA.
118426685
Using Multivariate Statistics
In this Section: 1. Brief Table of Contents 2. Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Introduction Chapter 2 A Guide to Statistical Techniques: Using the Book Chapter 3 Review of Univariate and Bivariate Statistics Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis Chapter 5 Multiple Regression Chapter 6 Analysis of Covariance Chapter 7 Multivariate Analysis of Variance and Covariance Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures Chapter 9 Discriminant Analysis Chapter 10 Logistic Regression Chapter 11 Survival/Failure Analysis Chapter 12 Canonical Correlation Chapter 13 Principal Components and Factor Analysis Chapter 14 Structural Equation Modeling Chapter 15 Multilevel Linear Modeling Chapter 16 Multiway Frequency Analysis 2. FULL TABLE OF CONTENTS Chapter 1: Introduction Multivariate Statistics: Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book Chapter 2: A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs Chapter 10: Logistic Regression General Purpose and Description Kinds of Research Questions Limitations to Logistic Regression Analysis Fundamental Equations for Logistic Regression Types of Logistic Regression Some Important Issues Complete Examples of Logistic Regression Comparison of Programs Chapter 11: Survival/Failure Analysis General Purpose and Description Kinds of Research Questions Limitations to Survival Analysis Fundamental Equations for Survival Analysis Types of Survival Analysis Some Important Issues Complete Example of Survival Analysis Comparison of Programs Chapter 12: Canonical Correlation General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Canonical Correlation Some Important Issues Complete Example of Canonical Correlation Comparison of Programs Chapter 13: Principal Components and Factor Analysis General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Factor Analysis Major Types of Factor Analysis Some Important Issues Complete Example of FA Comparison of Programs Chapter 14: Structural Equation Modeling General Purpose and Description Kinds of Research Questions Limitations to Structural Equation Modeling Fundamental Equations for Structural Equations Modeling Some Important Issues Complete Examples of Structural Equation Modeling Analysis. Comparison of Programs Chapter 15: Multilevel Linear Modeling General Purpose and Description Kinds of Research Questions Limitations to Multilevel Linear Modeling Fundamental Equations Types of MLM Some Important Issues Complete Example of MLM Comparison of Programs Chapter 16: Multiway Frequency Analysis General Purpose and Description Kinds of Research Questions Limitations to Multiway Frequency Analysis Fundamental Equations for Multiway Frequency Analysis Some Important Issues Complete Example of Multiway Frequency Analysis Comparison of Programs
61286653
Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
The decision of how many factors to retain is a critical component of exploratory factor analysis. Evidence is presented that parallel analysis is one of the most accurate factor retention methods while also being one of the most underutilized in management and organizational research. Therefore, a step-by-step guide to performing parallel analysis is described, and an example is provided using data from the Minnesota Satisfaction Questionnaire. Recommendations for making factor retention decisions are discussed.
144650465
Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (Mslq)
This paper reports on a new self-report, Likert-scaled instrument that was designed to assess motivation and use of learning strategies by college students. The motivation scales tap into three broad areas: (1) value (intrinsic and extrinsic goal orientation, task value), (2) expectancy (control beliefs about learning, self-efficacy); and (3) affect (test anxiety). The learning strategies section is comprised of nine scales which can be distinguished as cognitive, metacognitive, and resource management strategies. The cognitive strategies scales include (a) rehearsal, (b) elaboration, (c) organization, and (d) critical thinking. Metacognitive strategies are assessed by one large scale that includes planning, monitoring, and regulating strategies. Resource management strategies include (a) managing time and study environment; (b) effort management, (c) peer learning, and (d) help-seeking. Scale reliabilities are robust, and confirmatory factor analyses demonstrated good factor structure. In addition, the instrument shows reasonable predictive validity to the actual course performance of students.
22305091
A psychometric toolbox for testing validity and reliability.
PURPOSE
To review the concepts of reliability and validity, provide examples of how the concepts have been used in nursing research, provide guidance for improving the psychometric soundness of instruments, and report suggestions from editors of nursing journals for incorporating psychometric data into manuscripts.


METHODS
CINAHL, MEDLINE, and PsycINFO databases were searched using key words: validity, reliability, and psychometrics. Nursing research articles were eligible for inclusion if they were published in the last 5 years, quantitative methods were used, and statistical evidence of psychometric properties were reported. Reports of strong psychometric properties of instruments were identified as well as those with little supporting evidence of psychometric soundness.


FINDINGS
Reports frequently indicated content validity but sometimes the studies had fewer than five experts for review. Criterion validity was rarely reported and errors in the measurement of the criterion were identified. Construct validity remains underreported. Most reports indicated internal consistency reliability (alpha) but few reports included reliability testing for stability. When retest reliability was asserted, time intervals and correlations were frequently not included.


CONCLUSIONS
Planning for psychometric testing through design and reducing nonrandom error in measurement will add to the reliability and validity of instruments and increase the strength of study findings. Underreporting of validity might occur because of small sample size, poor design, or lack of resources. Lack of information on psychometric properties and misapplication of psychometric testing is common in the literature.
39880785
Ten measurement commandments that often should be broken.
Many of the measurement aspects of nursing research have been governed by rules regarding the minimum values of certain summary indexes (such as Cronbach's coefficient alpha and Cohen's kappa), the required numbers of subjects per item for factor analyses, and the like. In this article a case is made for violating these rules whenever the circumstances warrant such violations.
17108879
Internet Addiction: The Emergence of a New Clinical Disorder
Anecdotal reports indicated that some on-line users were becoming addicted to the Internet in much the same way that others became addicted to drugs or alcohol, which resulted in academic, social, and occupational impairment. However, research among sociologists, psychologists, or psychiatrists has not formally identified addictive use of the Internet as a problematic behavior. This study investigated the existence of Internet addiction and the extent of problems caused by such potential misuse. Of all the diagnoses referenced in the Diagnostic and Statistical Manual of Mental Disorders—Fourth Edition (DSM-IV; American Psychiatric Association, 1995), Pathological Gambling was viewed as most akin to the pathological nature of Internet use. By using Pathological Gambling as a model, addictive Internet use can be defined as an impulse-control disorder that does not involve an intoxicant. Therefore, this study developed a brief eight-item questionnaire referred to as a Diagnostic Questionnaire (DQ), which mod...
1840944
Factor structure for Young's Internet Addiction Test: A confirmatory study
A number of diagnostic scales have been developed in recent years to assess Internet addiction. To better understand the structure, validity, and reliability of such assessment instruments, Young's Internet Addiction Test (IAT) was evaluated using a confirmatory approach. Data collected through a survey of 410 Hong Kong university undergraduates was subjected to exploratory factor analysis and data from a hold-out sample was analyzed using confirmatory factor analysis in order to assess the psychometric properties and factor structure of the IAT scale. Three dimensions, namely, ''Withdrawal and Social Problems'', ''Time Management and Performance'', and ''Reality Substitute'' were extracted. These dimensions were then correlated with a number of criterion variables, including academic performance, online activities, gender, and Internet usage. The results show that academic performance was negatively correlated with the Internet addiction scores. The degree of Internet addiction was also found to vary across different types of online activity, with people engaged in cyberrelationships and online gambling having higher Internet addiction scores.
17706390
French Validation of the Internet Addiction Test
The main goal of the present study is to investigate the psychometric properties of a French version of the Internet Addiction Test (IAT) and to assess its relationship with both time spent on Internet and online gaming. The French version of the Young's Internet Addiction Test (IAT) was administered to a sample of 246 adults. Exploratory and confirmatory analyses were carried out. We discovered that a one-factor model of the IAT has good psychometric properties and fits the data well, which is not the case of a six-factor model as found in previous studies using exploratory methods. Correlation analysis revealed positive significant relationships between IAT scores and both the daily duration of Internet use and the fact of being an online player. In addition, younger people scored higher on the IAT. The one-factor model found in this study has to be replicated in other IAT language versions.
25414399
Internet addiction: characteristics of a questionnaire and prevalence in Norwegian youth (12-18 years).
The use of the Internet has increased considerably during the last few years, and there are also some clinical observations that some people 'get hooked', and develop an Internet addiction. An epidemiological study was performed in a representative sample of the Norwegian youth population (N= 3,237; response rate 45.2%). The proportion not using Internet was only 4.9%, while 35.8% were non-frequent users, and 49.6% (1,591) were frequent (weekly) users. They used the Internet on the mean 4.3 hours a week. A mean of 1.98% (boys 2.42%, girls 1.51%) could be described as having an 'Internet addiction' according to the criteria in the Diagnostic Questionnaire of Young (1998), and an additional 8.68% (in sum 10.66) were considered to have an at-risk Internet use (boys 9.21%, girls 8.13%). If these proportions were calculated on individuals who used the Internet frequently, 4.02% fulfilled 5 criteria, and an additional 17.66% 3-4 criteria, giving quite high figures of problematic Internet use (in sum 21.68). The different diagnostic criteria gave a broad range of affirmative answers (from 0.4% to 27.9%). The results have important implications for further studies of prevalence, implementation of preventive measures, and the development of treatment approaches for Internet addiction.
122308290
Applied Multivariate Statistical Analysis
(NOTE: Each chapter begins with an Introduction, and concludes with Exercises and References.) I. GETTING STARTED. 1. Aspects of Multivariate Analysis. Applications of Multivariate Techniques. The Organization of Data. Data Displays and Pictorial Representations. Distance. Final Comments. 2. Matrix Algebra and Random Vectors. Some Basics of Matrix and Vector Algebra. Positive Definite Matrices. A Square-Root Matrix. Random Vectors and Matrices. Mean Vectors and Covariance Matrices. Matrix Inequalities and Maximization. Supplement 2A Vectors and Matrices: Basic Concepts. 3. Sample Geometry and Random Sampling. The Geometry of the Sample. Random Samples and the Expected Values of the Sample Mean and Covariance Matrix. Generalized Variance. Sample Mean, Covariance, and Correlation as Matrix Operations. Sample Values of Linear Combinations of Variables. 4. The Multivariate Normal Distribution. The Multivariate Normal Density and Its Properties. Sampling from a Multivariate Normal Distribution and Maximum Likelihood Estimation. The Sampling Distribution of 'X and S. Large-Sample Behavior of 'X and S. Assessing the Assumption of Normality. Detecting Outliners and Data Cleaning. Transformations to Near Normality. II. INFERENCES ABOUT MULTIVARIATE MEANS AND LINEAR MODELS. 5. Inferences About a Mean Vector. The Plausibility of ...m0 as a Value for a Normal Population Mean. Hotelling's T 2 and Likelihood Ratio Tests. Confidence Regions and Simultaneous Comparisons of Component Means. Large Sample Inferences about a Population Mean Vector. Multivariate Quality Control Charts. Inferences about Mean Vectors When Some Observations Are Missing. Difficulties Due To Time Dependence in Multivariate Observations. Supplement 5A Simultaneous Confidence Intervals and Ellipses as Shadows of the p-Dimensional Ellipsoids. 6. Comparisons of Several Multivariate Means. Paired Comparisons and a Repeated Measures Design. Comparing Mean Vectors from Two Populations. Comparison of Several Multivariate Population Means (One-Way MANOVA). Simultaneous Confidence Intervals for Treatment Effects. Two-Way Multivariate Analysis of Variance. Profile Analysis. Repealed Measures, Designs, and Growth Curves. Perspectives and a Strategy for Analyzing Multivariate Models. 7. Multivariate Linear Regression Models. The Classical Linear Regression Model. Least Squares Estimation. Inferences About the Regression Model. Inferences from the Estimated Regression Function. Model Checking and Other Aspects of Regression. Multivariate Multiple Regression. The Concept of Linear Regression. Comparing the Two Formulations of the Regression Model. Multiple Regression Models with Time Dependant Errors. Supplement 7A The Distribution of the Likelihood Ratio for the Multivariate Regression Model. III. ANALYSIS OF A COVARIANCE STRUCTURE. 8. Principal Components. Population Principal Components. Summarizing Sample Variation by Principal Components. Graphing the Principal Components. Large-Sample Inferences. Monitoring Quality with Principal Components. Supplement 8A The Geometry of the Sample Principal Component Approximation. 9. Factor Analysis and Inference for Structured Covariance Matrices. The Orthogonal Factor Model. Methods of Estimation. Factor Rotation. Factor Scores. Perspectives and a Strategy for Factor Analysis. Structural Equation Models. Supplement 9A Some Computational Details for Maximum Likelihood Estimation. 10. Canonical Correlation Analysis Canonical Variates and Canonical Correlations. Interpreting the Population Canonical Variables. The Sample Canonical Variates and Sample Canonical Correlations. Additional Sample Descriptive Measures. Large Sample Inferences. IV. CLASSIFICATION AND GROUPING TECHNIQUES. 11. Discrimination and Classification. Separation and Classification for Two Populations. Classifications with Two Multivariate Normal Populations. Evaluating Classification Functions. Fisher's Discriminant Function...nSeparation of Populations. Classification with Several Populations. Fisher's Method for Discriminating among Several Populations. Final Comments. 12. Clustering, Distance Methods and Ordination. Similarity Measures. Hierarchical Clustering Methods. Nonhierarchical Clustering Methods. Multidimensional Scaling. Correspondence Analysis. Biplots for Viewing Sample Units and Variables. Procustes Analysis: A Method for Comparing Configurations. Appendix. Standard Normal Probabilities. Student's t-Distribution Percentage Points. ...c2 Distribution Percentage Points. F-Distribution Percentage Points. F-Distribution Percentage Points (...a = .10). F-Distribution Percentage Points (...a = .05). F-Distribution Percentage Points (...a = .01). Data Index. Subject Index.