The Experts below are selected from a list of 19404 Experts worldwide ranked by ideXlab platform

Manfred Schmitt - One of the best experts on this subject based on the ideXlab platform.

  • measuring traits and states in public opinion research a latent state trait analysis of political efficacy
    International Journal of Public Opinion Research, 2014
    Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred Schmitt
    Abstract:

    Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a Situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing Situational Influence and/or interactional Influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for public opinion research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to Situational and/or interactional Influences.

Frank M. Schneider - One of the best experts on this subject based on the ideXlab platform.

  • measuring traits and states in public opinion research a latent state trait analysis of political efficacy
    International Journal of Public Opinion Research, 2014
    Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred Schmitt
    Abstract:

    Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a Situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing Situational Influence and/or interactional Influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for public opinion research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to Situational and/or interactional Influences.

Patil Vaishali - One of the best experts on this subject based on the ideXlab platform.

  • Making it normal for new enrollments: Effect of institutional and pandemic Influence on selecting an engineering institution under the COVID-19 pandemic situation
    'Research Square', 2021
    Co-Authors: Mahajan Prashant, Patil Vaishali
    Abstract:

    The COVID19 pandemic has forced Indian engineering institutions (EIs) to bring their previous half shut shades completely down. Fetching new admissions to EI campuses during the pandemic has become a now or never situation for EIs. During crisis situations, institutions have struggled to return to the normal track. The pandemic has drastically changed students behavior and family preferences due to mental stress and the emotional life attached to it. Consequently, it becomes a prerequisite, and emergencies need to examine the choice characteristics influencing the selection of EI during the COVID19 pandemic situation. The purpose of this study is to critically examine institutional Influence and pandemic Influence due to COVID19 that affects students choice about an engineering institution (EI) and consequently to explore relationships between institutional and pandemic Influence. The findings of this quantitative research, conducted through a self-reported survey, have revealed that institutional and pandemic Influence have governed EI choice under the COVID19 pandemic. Second, pandemic Influence is positively affected by institutional Influence. The study demonstrated that EIs will have to reposition themselves to normalize pandemic Influence by tuning institutional characteristics that regulate Situational Influence and new enrollments. It can be yardstick for policy makers to attract new enrollments under pandemic situations

Xinran Lehto - One of the best experts on this subject based on the ideXlab platform.

  • the Situational Influence of travel group composition contrasting japanese family travelers with other travel parties
    Journal of Travel & Tourism Marketing, 2007
    Co-Authors: Xinran Lehto
    Abstract:

    Abstract A substantial amount of statistics and articles in travel magazines indicated that family vacation travel is one of the major worldwide trends. However, very limited empirical research has been dedicated to this special market segment. This study examined Japanese family travelers to Taiwan by comparing and contrasting them with other travel companionship groups including traveling with friends and traveling alone. The importance of travel group composition segmentation was explained and conceptualized through the understanding of the value of social groups from sociology perspective. The results indicated that Japanese family travelers exhibited unique characteristics when traveling. Family travelers tended to be more motivated by learning oriented themes and participated enthusiastically in activities that facilitated experiential learning as well as total physical relaxation. The “traveling with friends” and “traveling solo” segments tended to be seeking more of activities that had strong ente...

Lukas Otto - One of the best experts on this subject based on the ideXlab platform.

  • measuring traits and states in public opinion research a latent state trait analysis of political efficacy
    International Journal of Public Opinion Research, 2014
    Co-Authors: Frank M. Schneider, Lukas Otto, Daniel Alings, Manfred Schmitt
    Abstract:

    Latent state–trait theory (LSTT) considers the fact that measurement does not take place in a Situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing Situational Influence and/or interactional Influences. Furthermore, it provides more precise reliability estimates than common coefficients. This article introduces the basic concepts of LSTT, discusses its usefulness for public opinion research, and applies LST models to panel data on political efficacy from the 2009 German Longitudinal Election Study. The findings show that internal efficacy is a rather trait-like disposition and external efficacy is significantly due to Situational and/or interactional Influences.