The Smartphone Addiction Measure (SAM): Subscales, Validity, and Reliability.

Dependence on smartphones continues to grow, with young adults showing the highest usage. In fact, reliance on smartphones may indicate a behavioral addiction, a concept gaining interest in both research and clinical practice. However, valid and reliable assessments of smartphone addiction are needed. To this end, we developed the Smartphone Addiction Measure (SAM) with an initial sample (113 participants; 32 males, 81 females) and assessed the validity and reliability of this new measure. Principle components analysis with an additional sample (286 participants; 78 males, 207 females, 1 other) revealed four factors generally associated with addiction, including salience, mood modification, withdrawal, and conflict, thus providing support for the SAM as a valid measure of addictive behavior related to smartphone use. Analyses also revealed good validity and reliability (221 participants; 38 males, 179 females, 4 other) that sufficiently support the SAM as a psychometrically sound assessment for smartphone addiction.

Stroop interference in a delayed match-to-sample task: evidence for semantic competition.

Discussions of the source of the Stroop interference effect continue to pervade the literature. Semantic competition posits that interference results from competing semantic activation of word and color dimensions of the stimulus prior to response selection. Response competition posits that interference results from competing responses for articulating the word dimension vs. the color dimension at the time of response selection. We embedded Stroop stimuli into a delayed match-to-sample (DMTS) task in an attempt to test semantic and response competition accounts of the interference effect. Participants viewed a sample color word in black or colored fonts that were congruent or incongruent with respect to the color word itself. After a 5 s delay, participants were presented with two targets (i.e., a match and a foil) and were instructed to select the correct match. We probed each dimension independently during target presentations via color targets (i.e., two colors) or word targets (i.e., two words) and manipulated whether the semantic content of the foil was related to the semantic content of the irrelevant sample dimension (e.g., word sample "red" in blue font with the word "red" as the match and the word "blue" as the foil). We provide evidence for Stroop interference such that response times (RTs) increased for incongruent trials even in the presence of a response option with semantic content unrelated to the semantic content of the irrelevant sample dimension. Accuracy also deteriorated during the related foil trials. A follow-up experiment with a 10 s delay between sample and targets replicated the results. Results appear to provide converging evidence for Stroop interference in a DMTS task in a manner that is consistent with an explanation based upon semantic competition and inconsistent with an explanation based upon response competition.

Willingness to date across race: differences among gay and heterosexual men and women.

Willingness to date members of other races was examined among 200 men with same-sex dating preference (n = 100) and opposite-sex dating preference (n = 100), and 200 women with same-sex dating preference (n = 100) and opposite-sex dating preference (n = 100) who were randomly selected from an Internet dating web site. Overall, results indicated a greater willingness among gay participants than heterosexual participants to date people of other races. A 2 (Sex) x 2 (Sexual Orientation) analysis of variance showed an interaction, with lesbian women more willing to date other races than gay men, while among heterosexual participants men were more willing than women to date other races. The role of mate selection theory, and the importance of the status afforded various races in U.S. society, were applied to interpret people's willingness to date other races.

What do older adults seek in their potential romantic partners? Evidence from online personal ads.

Because of the dearth of available partners, older women looking to date may have to relax their dating standards to find a dating partner, perhaps accepting a life situation that is not what they had hoped for. However older women may be reluctant to sacrifice an often recently-gained lifestyle free of caregiving obligations. Older men, on the other hand, have a large pool of potential dating partners and do not face the same dilemma. We compared Internet dating profiles for 100 older adults and 100 younger adults, and found that older adults (and especially older women) were more selective than younger adults when it came to the age, race, religion, income, and height of a prospective dating partner. However, older adults were willing to travel substantially farther than younger adults to meet the right partner. These findings paint a clear picture of older Internet daters as eager to meet the right person, but not desperate to meet just anyone.

On the use of multilevel modeling as an alternative to items analysis in psycholinguistic research.

The use of multilevel modeling is presented as an alternative to separate item and subject ANOVAs (F1 x F2) in psycholinguistic research. Multilevel modeling is commonly utilized to model variability arising from the nesting of lower level observations within higher level units (e.g., students within schools, repeated measures within individuals). However, multilevel models can also be used when two random factors are crossed at the same level, rather than nested. The current work illustrates the use of the multilevel model for crossed random effects within the context of a psycholinguistic experimental study, in which both subjects and items are modeled as random effects within the same analysis, thus avoiding some of the problems plaguing current approaches.

The influence of phonological neighborhood on visual word perception.

In the research reported here, we investigated the influence of phonological neighborhood density on the processing of words in the visual lexical decision task. The results of the first experiment revealed that words with large phonological neighborhoods were verified more rapidly than words with small phonological neighborhoods. In the second experiment, we replicated this effect with a more tightly controlled set of stimuli. These results demonstrate the importance of phonological codes when processing visually presented letter strings. We relate this research to previous results on semantic and orthographic neighborhoods and discuss the results within the context of a model in which lexical decisions are based on stimulus familiarity.

Semantic and phonological influences on the processing of words and pseudohomophones.

In two experiments, we investigated the relationship between semantics and phonology in the lexical decision task. In the first experiment, lexical decisions to words with large semantic neighborhoods were faster than those to words with sparse semantic neighborhoods. Conversely, this effect of semantic neighborhood was reversed for pseudohomophones (e.g., nale). That is, pseudohomophones based on words with large semantic neighborhoods took longer to reject than did those based on words with sparse semantic neighborhoods. In the second experiment, we found the magnitude of the semantic neighborhood effect for words to be a function of nonword foil type. Taken together, these results indicate that semantic neighborhood size affects processing of both words and pseudohomophones, and that the effect of semantic neighborhood size for words is more pronounced when pseudohomophone foils are employed. These effects are discussed in terms of a model in which the orthographic, phonological, and semantic systems are fully interactive.

Semantic neighborhood effects on the recognition of ambiguous words.

The effect of semantic neighborhood on the processing of ambiguous words was examined in two lexical decision experiments. Semantic neighborhood was defined in terms of semantic set size and network connectivity. In Experiment 1, the variables of semantic set size, network connectivity, and ambiguity were crossed. An ambiguity advantage was observed only within small-set low-connectivity words. In Experiment 2, the effect of network connectivity on the processing of words of high and low meaning relatedness was examined. Participants responded more rapidly to words of high meaning relatedness, relative to words of low meaning relatedness, but only within high-connectivity words. These results are interpreted within a framework in which both semantic feedback processes and meaning-level competition can affect the recognition of semantically ambiguous words.